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Xamfrà · Applied research · Study series 2026

Studies: long questions about the metropolis, with a method of our own

Each study starts from a question a metropolitan administration genuinely asks —where the economy can grow, where housing is missing, where demand outgrows transport— and answers it with open official data, a named method with explicit steps, and the literature that frames it. Here we publish the abstracts, journal-style: context, method, results and implications.

The figures in the abstracts are checked automatically against the published data files; literature is context for the question, never evidence for an AMB number. The full studies, with interactive figures, tables and method notes, live inside the viewer.

Economy & work

Economy & workXamfrà Working Paper No. 01Follows the work area

Economic complexity and diversification

Which sectors are within reach of each municipality given what it already does? The Catalan sector space read from the AMB.

78sectors in the sector space
XMES

Own methodSector space and candidate ruleMunicipal RCA → co-specialisation proximity → relatedness density → Fitness–Complexity → counted candidate rule; no composite index.

Abstract

Context
Economies do not diversify at random: they enter activities close to the ones they already master. Economic complexity (product space, relatedness, Fitness–Complexity) reads this «adjacent possible», but almost always at country scale. For a metropolitan administration the question is municipal.
Method
From Social Security workers by CNAE-2025 division and municipality (August 2026), specialisation (RCA ≥ 1) is computed for the 295 Catalan municipalities with ≥ 1,000 workers, proximity between 78 sectors by co-specialisation, relatedness density and Fitness–Complexity. A candidate is an explicit rule (no RCA, density in the own top quartile, positive complexity), never a score.
Results
The sector space has 155 links and separates manufacturing, logistics and knowledge families. Barcelona (+3.04) and Sant Cugat (+2.27) lead AMB complexity; Viladecans (−1.68) closes it. Complexity and diversity correlate (Spearman 0.83); the ranking survives the bootstrap (0.975), concrete candidates less so (Jaccard 0.48).
Implications
Candidates are an examination agenda for economic promotion and activity land, not a forecast: they must be checked against land, workforce and firms, and followed month by month to see whether municipalities enter nearby, complex sectors.
  • 78 sectors and 155 co-specialisation links estimated on 295 Catalan municipalities: the AMB is read inside the Catalan space, not alone.
  • Barcelona (+3.04) and Sant Cugat (+2.27) are the most complex AMB municipalities; the ranking of the extremes survives the bootstrap (0.975).
  • Diversification candidates are a counted rule, not a score: read the whole table and the 90 % rank interval.

Keywordseconomic complexity · sector space · relatedness · diversification · revealed comparative advantage · smart specialisation · AMB

References 16 · 11 literature
  1. Balassa, B. (1965). Trade liberalisation and «revealed» comparative advantage. The Manchester School 33(2), 99–123.
  2. Hidalgo, C. A., Klinger, B., Barabási, A.-L. i Hausmann, R. (2007). The product space conditions the development of nations. Science 317(5837), 482–487.
  3. Hidalgo, C. A. i Hausmann, R. (2009). The building blocks of economic complexity. PNAS 106(26), 10570–10575.
  4. Neffke, F., Henning, M. i Boschma, R. (2011). How do regions diversify over time? Industry relatedness and the development of new growth paths in regions. Economic Geography 87(3), 237–265.
  5. Tacchella, A., Cristelli, M., Caldarelli, G., Gabrielli, A. i Pietronero, L. (2012). A new metrics for countries' fitness and products' complexity. Scientific Reports 2, 723.
  6. Hausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., Simoes, A. i Yildirim, M. A. (2014). The Atlas of Economic Complexity: Mapping Paths to Prosperity. MIT Press.
  7. Mealy, P., Farmer, J. D. i Teytelboym, A. (2019). Interpreting economic complexity. Science Advances 5(1), eaau1705.
  8. Frenken, K., Van Oort, F. i Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies 41(5), 685–697.
  9. Boschma, R. (2017). Relatedness as driver of regional diversification: a research agenda. Regional Studies 51(3), 351–364.
  10. Balland, P.-A., Boschma, R., Crespo, J. i Rigby, D. L. (2019). Smart specialization policy in the European Union: relatedness, knowledge complexity and regional diversification. Regional Studies 53(9), 1252–1268.
  11. Hidalgo, C. A. (2021). Economic complexity theory and applications. Nature Reviews Physics 3(2), 92–113.
  12. Comissió Europea, DG Regional and Urban Policy (2012). Guide to Research and Innovation Strategies for Smart Specialisation (RIS3).
  13. Generalitat de Catalunya (2022). RIS3CAT 2030: Estratègia per a l'especialització intel·ligent de Catalunya 2030.
  14. Harvard Growth Lab (2021). Metroverse: the Growth Lab's Urban Economy Navigator (espai d'indústries i oportunitats de diversificació per a més de 1.000 ciutats).
  15. Seguridad Social (TGSS). Códigos de cuenta de cotización y trabajadores por municipio y CNAE (PRMU0826.xlsx, agost 2026).
  16. Idescat. Codis i noms dels municipis de Catalunya (API de taules, JSON-stat).

How to citeBlanco Quintanilla, H. (2026). “Economic complexity and diversification”. Xamfrà Working Paper No. 01. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#economic-complexity

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Economy & workXamfrà Working Paper No. 02Follows the work area

Atlas of innovation districts

Universities, research and high value-added firms: where the ingredients of an innovation district meet and where they are missing.

197places assessed as districts
XM6I

Own methodSix-ingredient count with visible thresholdsEach place (activity pole, PDU proposal or campus) gets six yes / no / unknown answers with their figure and source; they are counted, never weighted.

Abstract

Context
Innovation districts concentrate research, young firms and skilled jobs in compact, well-connected urban fabric. The literature describes their assets, but metropolitan administrations rarely have an open, place-by-place reading of which assets are already present.
Method
For 197 places in the AMB (65 activity poles, 103 PDU proposals and 29 campuses) the presence of six ingredients is tested with explicit rules: knowledge anchor, startup density, high-value jobs, planned land, rail station and nearby residents. Each answer is yes, no or unknown, with its figure and source; ingredients are counted, never weighted.
Results
57 places meet five or six ingredients, 93 meet three or four and 47 two or fewer. Land (171 places) and nearby residents (173) are almost universal; startup density (49) and high-value jobs (81) are the discriminating ingredients. Only 2 municipalities complete the knowledge–startups–jobs triangle.
Implications
Outside Barcelona, land and transit are already there; young firms and knowledge-intensive jobs are missing. The atlas shows where a single ingredient would change the tier and which indicators to follow every year.
  • 57 of the 197 places have five or six of the six ingredients of an innovation district; 47 have two or fewer.
  • Startup density is the scarcest ingredient (49 places); planned land (171) and nearby residents (173) are the most common.
  • Only 2 municipalities complete the knowledge–startups–high-value jobs triangle; 1,794 startups are registered in the AMB.

Keywordsinnovation districts · knowledge economy · agglomeration · startups · universities · co-authorship · PDU · AMB

References 14 · 12 literature
  1. Katz, B. i Wagner, J. (2014). The Rise of Innovation Districts: A New Geography of Innovation in America. Brookings Institution.
  2. Glaeser, E. L. i Gottlieb, J. D. (2009). The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States. Journal of Economic Literature 47(4), 983–1028.
  3. Moretti, E. (2012). The New Geography of Jobs. Houghton Mifflin Harcourt.
  4. Etzkowitz, H. i Leydesdorff, L. (2000). The dynamics of innovation: from National Systems and «Mode 2» to a Triple Helix of university–industry–government relations. Research Policy 29(2), 109–123.
  5. Ellison, G. i Glaeser, E. L. (1997). Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach. Journal of Political Economy 105(5), 889–927.
  6. Arzaghi, M. i Henderson, J. V. (2008). Networking off Madison Avenue. Review of Economic Studies 75(4), 1011–1038.
  7. Hamidi, S. i Zandiatashbar, A. (2019). Does urban form matter for innovation productivity? A national multi-level study of the association between neighbourhood innovation capacity and urban sprawl. Urban Studies 56(8), 1576–1594.
  8. Rapetti, C., Pareja-Eastaway, M., Piqué, J. M. i Grimaldi, D. (2022). Measuring the development of innovation districts through performance indicators: 22@Barcelona case. Journal of Evolutionary Studies in Business 7(2), 6–39.
  9. Rissola, G., Hervás, F., Slavcheva, M. i Jonkers, K. (2017). Place-Based Innovation Ecosystems: Espoo Innovation Garden and Aalto University (Finland). JRC Science for Policy Report JRC106122, EUR 28545 EN. Publications Office of the EU.
  10. Wagner, J. (2024). Innovation districts and the centrality of land. Global Institute on Innovation Districts.
  11. Gras, R. i Burke, J. (2023). City Science: Performance Follows Form. Actar Publishers. ISBN 9781638409908.
  12. OECD / JRC (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publishing.
  13. Burke, J. i Gras, R. (Aretian, 2019). Innovation Districts and Industrial Clusters in the Barcelona Metropolitan Region. Publicat pel PEMB (2025) com a «Districtes innovadors».
  14. Xamfrà — Ecosistema d'innovació: manifest de dades i mètode (docs/INNOVATION-ECOSYSTEM.md; public/data/innovation-ecosystem/manifest.json).

How to citeBlanco Quintanilla, H. (2026). “Atlas of innovation districts”. Xamfrà Working Paper No. 02. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#innovation-ecosystem

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Economy & workXamfrà Working Paper No. 03Metropolitan (AMB)

Inclusive growth monitor

Growth, prosperity, inclusion and housing in the 36 municipalities, Metro Monitor style: changes, ranks and counts above the median.

12municipalities with growth and inclusion
XMQCI

Own methodCounted growth–inclusion quadrantChange and rank per indicator, count of indicators better than the median of the 36 municipalities; no weights, no composite index.

Abstract

Context
The inclusive-growth literature (OECD, Brookings, Lee and Sissons) shows that more output and employment do not guarantee less poverty or better access to housing. The AMB lacked a municipality-by-municipality follow-up built on open data.
Method
Twelve open indicators of growth, prosperity, inclusion and housing are measured as the change over their own window and as a rank among the 36 municipalities. Each dimension is the count of indicators better than the unweighted median; a side scores at half or more. No weights, no mark; a missing value does not count.
Results
12 of the 36 municipalities beat the median on both growth and inclusion; 10 grow without inclusion, 7 include without growing and 7 neither. Income per person grew by a median 34.4% nominal (2015–2023), with 2023 levels from €12,584 to €25,286; employed residents rose 21.6% (2015–2025) and new-lease rent over household income worsened by 1.1 points (2016–2023).
Implications
The monitor shows where growth does not reach the bottom: employment, income and housing policies can be prioritised by the indicators below the median, and the count repeated yearly.
  • 12 of the 36 municipalities beat the median on both growth and inclusion; 10 grow without inclusion.
  • Net income per person grew by a median 34.4% nominal (2015–2023); in 2023 it ranges from €12,584 to €25,286 by municipality.
  • New-lease rent over household income worsened by a median 1.1 points (2016–2023).

Keywordsinclusive growth · Metro Monitor · income per person · poverty risk · rent · AMB municipalities · above-median count

References 18 · 6 literature
  1. Shearer, C., Shah, I., Friedhoff, A. i Berube, A. (2018). Metro Monitor 2018. Brookings Metropolitan Policy Program.
  2. Haskins, G. i Parilla, J. (2025). Metro Monitor 2025. Brookings Metro.
  3. Brookings Metro (2023). Metro Monitor 2023, Appendix A: Inclusive growth score methodology.
  4. OECD (2015). All on Board: Making Inclusive Growth Happen. OECD Publishing, París.
  5. OECD (2018). Opportunities for All: A Framework for Policy Action on Inclusive Growth. OECD Publishing, París.
  6. Lee, N. i Sissons, P. (2016). Inclusive growth? The relationship between economic growth and poverty in British cities. Environment and Planning A, 48(11), 2317–2339.
  7. Beatty, C., Crisp, R. i Gore, T. (2016). An inclusive growth monitor for measuring the relationship between poverty and growth. Joseph Rowntree Foundation / Sheffield Hallam University.
  8. Ravallion, M. i Chen, S. (2003). Measuring pro-poor growth. Economics Letters, 78(1), 93–99.
  9. Chetty, R., Hendren, N., Kline, P. i Saez, E. (2014). Where is the Land of Opportunity? The Geography of Intergenerational Mobility in the United States. The Quarterly Journal of Economics, 129(4), 1553–1623.
  10. Benner, C. i Pastor, M. (2015). Equity, Growth, and Community: What the Nation Can Learn from America's Metro Areas. University of California Press (accés obert).
  11. INE (2025). Atlas de Distribución de Renta de los Hogares (ADRH): Metodología (octubre 2025).
  12. AMB, Estudis Territorials (2022). Distribució de la renda per llars: característiques de la renda a la Regió Metropolitana de Barcelona, 2019, per seccions censals.
  13. Idescat / INE: Padró continu, població a 1 de gener.
  14. Idescat (fitxers TGSS): cotitzants per residència (afi 8605, 8606) i afiliacions per lloc de treball (afic).
  15. INE: DIRCE, empreses per municipi (taula 4721).
  16. INE: ADRH, renda mitjana i mediana (30896), Gini i P80/P20 (37686), distribució per unitat de consum (30901).
  17. SEPE: paro registrado por municipios, desembre 2015 i 2025.
  18. Incasòl: lloguer mitjà dels contractes nous per municipi (fiances).

How to citeBlanco Quintanilla, H. (2026). “Inclusive growth monitor”. Xamfrà Working Paper No. 03. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#inclusive-growth

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Economy & workXamfrà Working Paper No. 04Metropolitan (AMB)

Urban scaling: who performs above or below its size

How income, jobs or energy grow with population, and which AMB municipalities sit away from what their size predicts.

218Catalan reference municipalities (> 5,000 inh.)
XMSAMI

Own methodCounted scaling residualsLog–log fit on the Catalan reference municipalities, residual of each AMB municipality relative to its size and a counted rule per indicator, with no composite index.

Abstract

Context
Many urban quantities do not grow in proportion to population: income or innovation grow faster (β > 1) and infrastructure more slowly (β < 1). The useful question for a metropolitan administration is how much each municipality’s size would predict.
Method
ln Y = ln Y₀ + β ln N is fitted on the 218 Catalan municipalities above 5,000 inhabitants for nine indicators (the three innovation ones only on the 36 AMB municipalities). Each municipality’s residual (SAMI) is classified with a counted rule per indicator; a 2,000-resample bootstrap, Theil–Sen and the fit without Barcelona serve as checks.
Results
Jobs (β = 1.07) and retail (1.10) are superlinear; total net income (0.97; n = 134), total electricity (0.90) and domestic electricity (0.91) are sublinear. Barcelona sits above its size on 4 of 9 indicators; Badia del Vallès and Santa Coloma de Gramenet below on 6. The classification changes little with the reference set (rank correlation 0.92–1.00).
Implications
Residuals are positions relative to size, not verdicts: they help to prioritise where to look (activity land, energy, R&D capture) and to track whether the gap to the expected value closes.
  • Jobs (β = 1.07) and retail (1.10) grow faster than population; total income (0.97) and electricity (0.90) more slowly, across 218 Catalan reference municipalities.
  • Barcelona performs above its size on 4 of 9 indicators; Badia del Vallès and Santa Coloma de Gramenet below on 6.
  • Residuals are counted, not added: the classification survives a change of reference set (rank correlation 0.92–1.00) and the bootstrap, Theil–Sen and without-Barcelona checks.

Keywordsurban scaling · exponent β · SAMI · residuals · increasing returns · economies of scale · municipalities · AMB

References 22 · 13 literature
  1. Bettencourt, L. M. A., Lobo, J., Helbing, D., Kühnert, C. i West, G. B. (2007). Growth, innovation, scaling, and the pace of life in cities. PNAS 104(17), 7301–7306.
  2. Bettencourt, L. M. A., Lobo, J., Strumsky, D. i West, G. B. (2010). Urban scaling and its deviations: revealing the structure of wealth, innovation and crime across cities. PLoS ONE 5(11), e13541.
  3. Bettencourt, L. M. A. (2013). The origins of scaling in cities. Science 340(6139), 1438–1441.
  4. Gómez-Lievano, A., Youn, H. i Bettencourt, L. M. A. (2012). The statistics of urban scaling and their connection to Zipf’s law. PLoS ONE 7(7), e40393.
  5. Lobo, J., Bettencourt, L. M. A., Strumsky, D. i West, G. B. (2013). Urban scaling and the production function for cities. PLoS ONE 8(3), e58407.
  6. Shalizi, C. R. (2011). Scaling and hierarchy in urban economies. arXiv:1102.4101.
  7. Arcaute, E., Hatna, E., Ferguson, P., Youn, H., Johansson, A. i Batty, M. (2015). Constructing cities, deconstructing scaling laws. Journal of the Royal Society Interface 12(102), 20140745.
  8. Leitão, J. C., Miotto, J. M., Gerlach, M. i Altmann, E. G. (2016). Is this scaling nonlinear? Royal Society Open Science 3(7), 150649.
  9. Bettencourt, L. M. A. i Lobo, J. (2016). Urban scaling in Europe. Journal of the Royal Society Interface 13(116), 20160005.
  10. Strano, E. i Sood, V. (2016). Rich and poor cities in Europe. An urban scaling approach to mapping the European economic transition. PLoS ONE 11(8), e0159465.
  11. Cottineau, C., Hatna, E., Arcaute, E. i Batty, M. (2017). Diverse cities or the systematic paradox of urban scaling laws. Computers, Environment and Urban Systems 63, 80–94.
  12. West, G. (2017). Scale: the universal laws of growth, innovation, sustainability, and the pace of life in organisms, cities, economies, and companies. Penguin Press, Nova York. ISBN 978-1-59420-558-3.
  13. Dijkstra, L., Poelman, H. i Veneri, P. (2019). The EU-OECD definition of a functional urban area. OECD Regional Development Working Papers 2019/11.
  14. Horta-Bernús, R., Rosas-Casals, M. i Valverde, S. (2010). Discerning electricity consumption patterns from urban allometric scaling. 2010 Complexity in Engineering (COMPENG), IEEE.
  15. Idescat, Padró municipal d’habitants: població a 1 de gener per municipi (pmh 446/477, 2013–2025).
  16. Seguridad Social (TGSS), Códigos de cuenta de cotización y trabajadores por municipio y CNAE (PRMU0826, agost 2026).
  17. INE, Atlas de distribución de renta de los hogares (ADRH), taula 30896: renda neta per persona per municipi (2015–2023).
  18. Generalitat de Catalunya, Cens comercial de Catalunya (CECC), conjunt 2dhj-q3r8 (2017–2023).
  19. ICAEN, Consum d’electricitat per municipis i sectors, conjunt 8idm-becu (2013–2024).
  20. ACCIÓ, Barcelona & Catalonia Startup Hub (recompte per municipi, octubre 2026).
  21. OpenAlex, treballs 2020–2025 d’institucions amb campus al municipi (CC0).
  22. CORDIS, Horitzó 2020 i Horitzó Europa: aportació neta de la CE per localització de l’organització.

How to citeBlanco Quintanilla, H. (2026). “Urban scaling: who performs above or below its size”. Xamfrà Working Paper No. 04. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#urban-scaling

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Economy & workXamfrà Working Paper No. 05Metropolitan (AMB)

Health of the economic estates

Which economic estates are doing well and which deserve a visit: nine explicit criteria per estate, counted, with no global score.

154SIPAE estates read
XMNCC

Own methodNine counted criteria per estateNine explicit rules per estate, read as healthy / watch / at risk / no data and counted; no global score or weighting.

Abstract

Context
Economic activity estates hold the metropolitan industry and logistics, yet they age, lose land to more profitable uses and are poorly known. The literature on their decline looks for measurable indicators; metropolitan plans need to know where to look first.
Method
Each of the 154 SIPAE estates in the 36 AMB municipalities is read with nine explicit criteria —from occupancy and density to building age, accessibility, transformation pressure and constraints—, each with a public rule giving healthy, watch, at risk or no data. States are counted: no weighted score, and a missing value never counts as good.
Results
Over 6,292 declared hectares, 28 estates have three or more criteria at risk, 114 stay on watch and 12 are healthy. Building age is the criterion that fails most (47 at risk), followed by transformation pressure (33); the median mean age rises from 32 to 40 years between 2015 and 2025. Occupancy is not declared for 42 estates.
Implications
It is a screening to prioritise visits and complete data, not a valuation: the estates with most criteria at risk and the gaps in SIPAE are the first place to act.
  • 28 of the 154 SIPAE estates in the AMB have three or more criteria at risk; only 12 meet the «healthy» rule.
  • Building age is the criterion that fails most (47 estates at risk) and the median mean age rises from 32 to 40 years between 2015 and 2025.
  • Missing data is part of the diagnosis: 42 estates without declared occupancy and 100 without modelled jobs; none is read as good.

Keywordseconomic activity estates · industrial land · SIPAE · obsolescence · counted criteria · metropolitan screening · AMB

References 12 · 7 literature
  1. Beekmans, J., van der Krabben, E. i Martens, K. (2012). An indicator for decline of industrial estates. Journal of European Real Estate Research 5(3), 229–249.
  2. Ferm, J. i Jones, E. (2016). Mixed-use ‘regeneration’ of employment land in the post-industrial city: challenges and realities in London. European Planning Studies 24(10), 1913–1936.
  3. Ferm, J. i Jones, E. (2017). Beyond the post-industrial city: Valuing and planning for industry in London. Urban Studies 54(14), 3380–3398.
  4. Greater London Authority / AECOM (2016). London Industrial Land Supply & Economy Study 2015.
  5. Greater London Authority / CAG Consultants (2017). London Industrial Land Demand. Final report, October 2017.
  6. Homes and Communities Agency (2015). Employment Density Guide, 3rd edition (Bilfinger GVA).
  7. Croxford, B., Domenech, T., Hausleitner, B., Hill, A. V., Meyer, H., Orban, A., Muñoz Sanz, V., Vanin, F. i Warden, J. (2020). Foundries of the Future: A Guide for 21st Century Cities of Making. TU Delft OPEN Publishing.
  8. Ellison, G., Glaeser, E. L. i Kerr, W. R. (2010). What causes industry agglomeration? Evidence from coagglomeration patterns. American Economic Review 100(3), 1195–1213.
  9. Cebollada, À. i Miralles-Guasch, C. (2009). Una proposta metodològica de delimitació d'àmbits industrials bàsics: el Vallès Occidental com a exemple. Documents d'Anàlisi Geogràfica 54, 81–103.
  10. Amill, J., Pol, M. i Puig, C. (2025). Polígons d'activitat econòmica a Catalunya: reptes i escenaris reguladors. Papers de l'Observatori de la Indústria 30. Generalitat de Catalunya, Departament d'Empresa i Treball.
  11. Carrasco, C. i Nogué, D. (2021). Serveis comercials i atractivitat dels polígons d'activitat econòmica a la Regió Metropolitana de Barcelona. Papers del Pacte Industrial 6. Associació Pacte Industrial de la RMB.
  12. Diputació de Barcelona, XODEL (2019). Nou cens de polígons d'activitat econòmica (SIPAE): explotació de les dades del Sistema d'Informació de Polígons d'Activitat Econòmica.

How to citeBlanco Quintanilla, H. (2026). “Health of the economic estates”. Xamfrà Working Paper No. 05. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#estate-health

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Economy & workXamfrà Working Paper No. 06Metropolitan (AMB)

Work after the labour reform

How registered hiring in the 36 municipalities has changed since 2019, before and after the December 2021 reform. A descriptive reading of the SEPE series.

36municipalities with the SEPE series
XMRLB

Own methodSeries reading with published windowsA single official source, 12-month windows without unpublished months, hidden cells as intervals and the reform as a date: counted, not attributed.

Abstract

Context
Royal Decree-law 32/2021 changed the contract modalities from 2022. Metropolitan administrations want to know how hiring has changed in their municipalities, with data that can be updated every month.
Method
SEPE municipal series of registered contracts (2019–2026), by workplace, for the 36 municipalities. Indefinite share of initial contracts, conversions apart; 12 published-month windows; hidden cells as intervals; comparison with calendar 2019.
Results
In the AMB, 10.3% of initial contracts were indefinite in 2019 and 41.9% over the last 12 months (Sep 2025 – Aug 2026). Fewer contracts are registered: 1,260,597 against 1,726,507 in 2019 (−27%). The jump is concentrated between January and April 2022. The share rises more for men than for women.
Implications
The series describes a change in the composition of hiring and does not attribute its cause: fijos discontinuos count as indefinite. It allows each municipality to be followed every month and read beside unemployment, without crossing the two.
  • Indefinite initial contracts in the AMB: from 10.3% (2019) to 41.9% (last 12 months).
  • 1,260,597 contracts registered in 12 months, 27% fewer than in 2019.
  • 36 municipalities; December 2020 not published and no window crosses it.

Keywordslabour reform · indefinite hiring · registered contracts · fijos discontinuos · SEPE · AMB

References 10 · 5 literature
  1. Banco de España (2024). Informe Anual 2023, capítulo 3: El mercado de trabajo español: situación actual, tendencias estructurales y políticas de empleo.
  2. Arellano, A., Doménech, R. y García, J. R. (2023). España: la reforma laboral en perspectiva. BBVA Research.
  3. Hernanz, V. e Izquierdo, M. Contrato fijo-discontinuo: impacto de la reforma laboral por género. Papeles de Economía Española, 188 (Funcas).
  4. Dolado, J. J., García-Serrano, C. y Jimeno, J. F. (2002). Drawing lessons from the boom of temporary jobs in Spain. The Economic Journal, 112(480), F270–F295.
  5. Bentolila, S., Dolado, J. J. y Jimeno, J. F. (2012). Reforming an insider-outsider labor market: the Spanish experience. IZA Journal of European Labor Studies, 1:4.
  6. Real Decreto-ley 32/2021, de 28 de diciembre (BOE-A-2021-21788)
  7. Ley 9/2017, de 8 de noviembre, de Contratos del Sector Público (BOE-A-2017-12902)
  8. Comisión Europea (2021). Buying Social: a guide to taking account of social considerations in public procurement (2nd edition), C(2021) 3573.
  9. SEPE, Contratos registrados por municipio (datos.gob.es, CC BY 4.0)
  10. SEPE, metodología de la estadística de contratos por municipios

How to citeBlanco Quintanilla, H. (2026). “Work after the labour reform”. Xamfrà Working Paper No. 06. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#labour-reform

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Planning & opportunities

Planning & opportunitiesXamfrà Working Paper No. 07Follows the work area

Lessons from past transformations

What happened to population and income where land was already transformed, compared with its municipality.

15transformations reviewed
XMEXP

Own methodDescriptive area–municipality double difference on harmonised sectionsChange in the transformed area minus change in its municipality, on census sections linked across two years; no counterfactual and no significance test.

Abstract

Context
Metropolitan planning foresees new transformations of industrial land, waterfronts and centralities. The best evidence of what they may bring is the operations already carried out, rarely read with one method.
Method
15 operations from the AMB planning register (9 municipalities, approved 1998–2020). The 2015 and 2023 sections are linked into harmonised units, aggregated with population weights, and the municipality's change is subtracted from the area's, with a 500 m ring. Descriptive, not causal.
Results
Income per person grew more than in the municipality in 10 of the 15 cases (median +3.1 points; from +26.1 in la Marina to −13.4 in Can Sant Joan); population did so in 10. In the rings, income moved within ±3 points of the municipality in 13 cases. 12 cases are measured after their main phase.
Implications
Type, phase and context weigh more than the label. The section-level baseline should be fixed before approval, area and ring tracked yearly, and every analogue read with its caution flags.
  • Income per person above the municipality in 10 of 15 transformed areas (2015–2023); population above in 10 of 15.
  • Little measurable spill-over: in 13 of 15 500 m rings income moves within ±3 points of the municipality.
  • 12 of 15 cases are observed after their main phase: the window captures consolidation, not the initial shock.

Keywordsex-post evaluation · urban transformation · difference-in-differences · census sections · gentrification · 22@ · Barcelona metropolitan area

References 18 · 8 literature
  1. Lees, L., Slater, T. i Wyly, E. (2008). Gentrification. Routledge, Nova York. ISBN 978-0-415-95037-4.
  2. Atkinson, R. (2000). Measuring gentrification and displacement in Greater London. Urban Studies 37(1), 149–165.
  3. Marshall, T. (ed.) (2004). Transforming Barcelona: The Renewal of a European Metropolis. Routledge, Londres.
  4. Monclús, F.-J. (2003). The Barcelona model: an original formula? From 'reconstruction' to strategic urban projects (1979–2004). Planning Perspectives 18(4), 399–421.
  5. Casellas, A. i Pallares-Barbera, M. (2009). Public-sector intervention in embodying the new economy in inner urban areas: the Barcelona experience. Urban Studies 46(5–6), 1137–1155.
  6. Charnock, G., Purcell, T. F. i Ribera-Fumaz, R. (2014). City of Rents: the limits to the Barcelona model of urban competitiveness. International Journal of Urban and Regional Research 38(1), 198–217.
  7. Nel·lo, O. (2011). The five challenges of urban rehabilitation. The Catalan experience. Urban Research & Practice 4(3), 308–325.
  8. Ahlfeldt, G. M., Maennig, W. i Richter, F. J. (2017). Urban renewal after the Berlin Wall: a place-based policy evaluation. Journal of Economic Geography 17(1), 129–156.
  9. Bertrand, M., Duflo, E. i Mullainathan, S. (2004). How much should we trust differences-in-differences estimates? Quarterly Journal of Economics 119(1), 249–275.
  10. Abadie, A. (2021). Using synthetic controls: feasibility, data requirements, and methodological aspects. Journal of Economic Literature 59(2), 391–425.
  11. OECD DAC (2019). Better Criteria for Better Evaluation: Revised Evaluation Criteria Definitions and Principles for Use. OECD, París.
  12. Comissió Europea, DG REGIO (2016). Ex post evaluation of Cohesion Policy programmes 2007–2013 (ERDF/CF). Work Package 10: Urban development and social infrastructure. Final report.
  13. INE — Atlas de Distribución de Renta de los Hogares (taules 30904, 30896), 2015 i 2023. CC BY 4.0.
  14. Ajuntament de Barcelona — Padró municipal d'habitants per secció censal, 2002–2025. CC BY 4.0.
  15. AMB — Registre de planejament (Expedients), perímetres i dates d'aprovació.
  16. ICGC / Idescat — Seccions censals 2002, 2016, 2024 i 2025. CC BY 4.0.
  17. Incasòl — Fiances de lloguer (lloguer mitjà de nous contractes), 2016 i 2025.
  18. Xamfrà — Document de mètode docs/EX-POST-TRANSFORMATIONS.md i scripts/build_ex_post.py.

How to citeBlanco Quintanilla, H. (2026). “Lessons from past transformations”. Xamfrà Working Paper No. 07. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#ex-post-lessons

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Planning & opportunitiesXamfrà Working Paper No. 08Follows the work area

Forecast vs reality: what was planned and what has been built

What the development sectors foresaw, what is recorded as built and what we expect from 2026, to check every year.

255open sectors with no home built (of 362 comparable)
XMPVR

Own methodDelivery cohorts with a registered baselineWeighted delivery rate of open MUC sectors by approval cohort, cross-checked with the Cadastre, and a published 2026 baseline reviewed every year with a back-test.

Abstract

Context
Plans promise housing and reality delivers it more slowly, yet almost no administration publishes its forecast to look at it again, as the literature on optimism bias and plan conformance recommends.
Method
For the 606 development sectors of the MUC in the AMB, the weighted delivery rate (built = planned − pending) is computed by approval cohort, sector type and urbanisation state; cross-checked against the Cadastre; and a 2026 baseline is registered with a yearly review and a back-test. Unknown is never zero.
Results
In the 362 comparable sectors (80,927 planned homes) the plan data records 10,049 as built (12.4%) and 255 have built none (median 0%). The 198 sectors approved up to 1999 have built 16.2%; those of 2008–2013, 5.3%. The Cadastre/completions ratio since 2007 is 0.93. The baseline expects 37,125 homes in 15 years (2,475 a year) against a 2015–25 pace of 4,343.2.
Implications
In the MUC snapshot (13-02-2024), most comparable open sectors had no home built; a state on a single date cannot tell whether they are stalled or progressing slowly. Planned capacity must be told apart from expectable housing, the expected/actual table published every year with its error, and the baseline never rewritten. The rates are a floor: completed sectors leave the MUC.
  • Of the 80,927 homes planned in the AMB’s 362 comparable open sectors, the plan data records 10,049 as built (12.4%); 255 sectors have built none.
  • The age of a plan guarantees nothing: sectors approved up to 1999 and still open have built 16.2%, those of 2008–2013 5.3% and those of 2020 or later 2.7%.
  • The 2026 baseline expects 37,125 homes in 15 years; the back-test shows the pace rule has missed by between −45.8% and +62.8% when the cycle turns.

Keywordsplan implementation · development sectors · housing delivery · optimism bias · plan evaluation · baseline · back-test · AMB

References 22 · 10 literature
  1. Kahneman, D. i Tversky, A. (1982). Intuitive prediction: biases and corrective procedures. A Kahneman, Slovic i Tversky (eds.), Judgment under Uncertainty: Heuristics and Biases, Cambridge University Press, 414–421.
  2. Flyvbjerg, B. (2006). From Nobel Prize to project management: getting risks right. Project Management Journal 37(3), 5–15.
  3. Flyvbjerg, B. (2008). Curbing optimism bias and strategic misrepresentation in planning: reference class forecasting in practice. European Planning Studies 16(1), 3–21.
  4. Flyvbjerg, B., Skamris Holm, M. K. i Buhl, S. L. (2005). How (in)accurate are demand forecasts in public works projects? The case of transportation. Journal of the American Planning Association 71(2), 131–146.
  5. Talen, E. (1996). Do plans get implemented? A review of evaluation in planning. Journal of Planning Literature 10(3), 248–259.
  6. Talen, E. (1996). After the plans: methods to evaluate the implementation success of plans. Journal of Planning Education and Research 16(2), 79–91.
  7. Laurian, L., Day, M., Berke, P., Ericksen, N., Backhurst, M., Crawford, J. i Dixon, J. (2004). Evaluating plan implementation: a conformance-based methodology. Journal of the American Planning Association 70(4), 471–480.
  8. Oliveira, V. i Pinho, P. (2010). Evaluation in urban planning: advances and prospects. Journal of Planning Literature 24(4), 343–361.
  9. Loh, C. G. (2011). Assessing and interpreting non-conformance in land-use planning implementation. Planning Practice & Research 26(3), 271–287.
  10. Cavalleri, M. C., Cournède, B. i Özsöğüt, E. (2019). How responsive are housing markets in the OECD? National level estimates. OECD Economics Department Working Papers 1589.
  11. Letwin, O. (2018). Independent Review of Build Out: Final Report. Ministry of Housing, Communities & Local Government i HM Treasury (Cm 9720).
  12. Lichfields (2020). Start to Finish: what factors affect the build-out rates of large scale housing sites? (2a edició, 97 llocs de més de 500 habitatges).
  13. Ministry of Housing, Communities & Local Government (UK). Housing Delivery Test: measurement rule book (2018, actualitzat 2026).
  14. Ministry of Housing, Communities & Local Government (UK). Planning Practice Guidance: Housing and economic land availability assessment (actualitzat 27-11-2025).
  15. Ministry for the Environment (Nova Zelanda, 2020). NPS-UD 2020: Housing and business development capacity assessments, monitoring requirements and providing development capacity (fact sheet).
  16. Idescat / Departament de Territori (2024). Estadística de sectors de planejament (Pla estadístic de Catalunya, activitat 060403), a partir del Mapa urbanístic de Catalunya.
  17. Generalitat de Catalunya. Dades dels sectors de desenvolupament del Mapa urbanístic de Catalunya (Socrata 6wpu-9y2e, files 13-02-2024).
  18. Generalitat de Catalunya. Habitatges iniciats i acabats, sèrie anual 1990–actualitat (Socrata txkt-yjtq).
  19. AMB, Refós de planejament urbanístic (àmbits d’expedients aprovats), Servei d’Informació Urbanística.
  20. Elaboració pròpia a partir de dades INSPIRE de la Dirección General del Catastro (building-age-amb).
  21. Registre anual d’oportunitats 2026 i embut de capacitat de Xamfrà (opportunity-ledger, capacity-funnel).
  22. Registre de projectes reals de Xamfrà (revisió 06-10-2026).

How to citeBlanco Quintanilla, H. (2026). “Forecast vs reality: what was planned and what has been built”. Xamfrà Working Paper No. 08. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#forecast-vs-reality

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Planning & opportunitiesXamfrà Working Paper No. 09Follows the work area

Reuse opportunities

Which existing buildings and spaces could change use to meet needs: schools with fewer pupils, persistently empty premises and ageing offices.

94candidate public schools (of 508)
XM3L

Own methodThree reuse lenses with counted rulesFor schools, vacant premises and offices, explicit yes / no / unknown rules on open data; a candidate when every criterion is «yes», unknown is never «no», no weighted index and no owner data.

Abstract

Context
An already-built metropolis meets new needs by changing the use of what it has: classrooms that empty, premises that never reopen and ageing offices. The literature explains what each reuse decision depends on, not where to start looking across 36 municipalities.
Method
Three lenses with yes / no / unknown rules on open data: public schools with enrolment 2018/2019 → 2024/2025 ≤ −15 % and falling child numbers; Barcelona street runs with ≥ 3 premises empty in both the 2022 and 2024 censuses and low commercial pull; sections with ≥ 2 office parcels meeting 3 of 4 indicators. Criteria are counted, not weighted; an unknown is never a «no».
Results
Of 508 public schools, 94 are candidates (47 with a nursery gap nearby) and 104 remain undetermined. In Barcelona, 2,603 premises were empty in both censuses; of the 246 runs listed, 36 are candidates with 133 persistent empties. Of 734 sections with offices (2,243 parcels), 17 show potential (64 parcels).
Implications
Candidates are places to look at first, not projects: feasibility needs a visit, planning, habitability and an agreement with the owner. They help order a reuse programme and track whether a vacancy persists.
  • 94 of 508 public primary schools in the AMB lose 15 % or more of their enrolment in six courses; 47 have nearby sections with many children aged 0–2 and no public nursery.
  • In Barcelona, 36 street runs concentrate 133 premises empty in both the 2022 and 2024 censuses on streets with low commercial pull.
  • 17 census sections with 64 office parcels meet 3 of 4 potential indicators; without vacancy data this is potential, not occupancy.

Keywordsadaptive reuse · change of use · schools · enrolment · vacant premises · ground floor · offices · counted rules · AMB

References 20 · 11 literature
  1. Bullen, P. A. i Love, P. E. D. (2010). The rhetoric of adaptive reuse or reality of demolition: views from the field. Cities 27(4), 215–224.
  2. Bullen, P. A. i Love, P. E. D. (2011). Adaptive reuse of heritage buildings. Structural Survey 29(5), 411–421.
  3. Langston, C., Wong, F. K. W., Hui, E. C. M. i Shen, L.-Y. (2008). Strategic assessment of building adaptive reuse opportunities in Hong Kong. Building and Environment 43(10), 1709–1718.
  4. Remøy, H. i van der Voordt, T. (2007). A new life: conversion of vacant office buildings into housing. Facilities 25(3/4), 88–103.
  5. Remøy, H. i van der Voordt, T. (2014). Adaptive reuse of office buildings into housing: opportunities and risks. Building Research & Information 42(3), 381–390.
  6. Wilkinson, S. J., Remøy, H. i Langston, C. (2014). Sustainable Building Adaptation: Innovations in Decision-making. Wiley-Blackwell.
  7. OECD (2018). Responsive School Systems: Connecting Facilities, Sectors and Programmes for Student Success. OECD Reviews of School Resources. OECD Publishing, París.
  8. OECD (2021). Delivering Quality Education and Health Care to All: Preparing Regions for Demographic Change. OECD Rural Studies. OECD Publishing, París.
  9. Vincent, J. M. (2014). Joint use of public schools: a framework for promoting healthy communities. Journal of Planning Education and Research 34(2), 153–168.
  10. Dolega, L. i Celińska-Janowicz, D. (2015). Retail resilience: a theoretical framework for understanding town centre dynamics. Studia Regionalne i Lokalne 2(60), 8–31.
  11. Ellen MacArthur Foundation i Arup (2025). Unlocking value in buildings: developing the business case for building circular.
  12. Gensler. Conversions+: office-to-residential building suitability scoring (context del lloc, forma, planta, envolupant, instal·lacions).
  13. Office of the New York City Comptroller (2025). Office-to-residential conversions in NYC: economics and fiscal estimates (467-m).
  14. City of New York. Office Conversion Accelerator.
  15. City of Calgary. Downtown Office Conversion Program (Downtown Development Incentive Program).
  16. Barcelona Activa / Ajuntament de Barcelona (2021). Reactivem els locals en planta baixa de Barcelona (programa «Amunt persianes»).
  17. Generalitat de Catalunya, Departament d’Educació. Alumnes matriculats per ensenyament i unitats dels centres docents (xvme-26kg).
  18. Idescat (2025). Projeccions de població 2024–2044. Municipis (base 2024, escenari mitjà).
  19. Ajuntament de Barcelona, Open Data BCN. Cens de locals en planta baixa destinats a activitat econòmica, 2022 i 2024 (CC BY 4.0).
  20. Ajuntament de Barcelona, Open Data BCN. Locals per ús i destinació (Cadastre) 2021 i 2026 (CC BY 4.0).

How to citeBlanco Quintanilla, H. (2026). “Reuse opportunities”. Xamfrà Working Paper No. 09. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#reuse-opportunities

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Housing

HousingXamfrà Working Paper No. 10Follows the work area

Land-value uplift and affordable housing

How much land-value uplift the planned transformations create and how much affordable housing the law can fund from it.

75,108affordable homes from legal capture (central)
XMPLV

Own methodPer-transformation static residual with counted legal captureResidual value unit by unit, legal obligations summed, three scenarios and one-at-a-time sensitivity; unknown with a reason.

Abstract

Context
When planning allows homes where there was industry or rural land, land value rises and the community is entitled to a share. In Catalonia the protected-housing reserve and the cession of 10 % or 15 % of development rights do so, yet nobody publishes how much uplift the planned transformations of the AMB create or how much of it those obligations collect.
Method
For every unit of the proposals register (582) with homes: static residual value of the residential floor, minus the land value in its existing use, and legal obligations counted at the HPO maximum price. Three scenarios, one-at-a-time sensitivity and a comparison with an uplift-based rule (SoBoN).
Results
Of 348 counted units, 207 have a valued uplift: €4,872m in the central scenario (−2,687 to 15,812). Central legal capture, €5,135m, exceeds the uplift and equals 75,108 affordable homes (59,949–90,276), adding reserve and cession, which may partly coincide (7,026 if the ceded floor carries the plan's mix); in 130 proposals the obligations exceed the uplift. A SoBoN-like rule would give 28,578.
Implications
Obligations set on floor area weigh the same where land gains a lot and where it gains nothing: before raising reserves, residual viability per sector; before quoting figures, new-build prices and industrial land values per estate.
  • Central legal capture (€5,135m) exceeds the central uplift (€4,872m): in 130 of 207 valued proposals the obligations weigh more than the land gains.
  • The protected reserve is 93 % of legal capture: it is paid in value foregone, and the homes on the ceded floor still have to be built.
  • With ±10 % on market value the total uplift runs from €2,260m to €7,484m: no figure can be quoted without stating the prices used.

Keywordsland value capture · residual land value · protected housing · cession of development rights · viability · metropolitan planning · AMB

References 20 · 8 literature
  1. George, H. (1879). Progress and Poverty. Open edition: Project Gutenberg / Library of Economics and Liberty (1912 ed.).
  2. OECD and Lincoln Institute of Land Policy (2022). Global Compendium of Land Value Capture Policies. OECD Regional Development Studies, OECD Publishing.
  3. Alterman, R. (2012). Land-Use Regulations and Property Values: The 'Windfalls Capture' Idea Revisited. In The Oxford Handbook of Urban Economics and Planning, 755–786.
  4. Smolka, M. O. (2013). Implementing Value Capture in Latin America: Policies and Tools for Urban Development. Lincoln Institute of Land Policy, Policy Focus Report.
  5. Muñoz Gielen, D. and Tasan-Kok, T. (2010). Flexibility in Planning and the Consequences for Public-value Capturing in UK, Spain and the Netherlands. European Planning Studies 18(7), 1097–1131.
  6. Gozalvo Zamorano, M. J. and Muñoz Gielen, D. (2017). Non-Negotiable Developer Obligations in the Spanish Land Readjustment: An Effective Passive Governance Approach that 'de facto' Taxes Development Value? Planning Practice & Research 32(3), 274–296.
  7. Calavita, N. and Mallach, A. (eds.) (2010). Inclusionary Housing in International Perspective: Affordable Housing, Social Inclusion, and Land Value Recapture. Lincoln Institute of Land Policy.
  8. Crook, T., Henneberry, J. and Whitehead, C. (2016). Planning Gain: Providing Infrastructure and Affordable Housing. Wiley-Blackwell.
  9. Constitución Española (1978), art. 47: la comunidad participará en las plusvalías que genere la acción urbanística de los entes públicos. BOE-A-1978-31229.
  10. Real Decreto Legislativo 7/2015, texto refundido de la Ley de Suelo y Rehabilitación Urbana: art. 18.1.b (cesión del 5–15 %, hasta el 20 %) y art. 37 (método residual estático). BOE-A-2015-11723.
  11. Decret legislatiu 1/2010, Text refós de la Llei d'urbanisme (Catalunya): art. 43.1 (cessió del 10 % en sòl urbà no consolidat), 45.1 (15 % en sòl urbanitzable) i 57.3 (reserva mínima del 30 % del sostre residencial nou).
  12. Llei 18/2007, del dret a l'habitatge (Catalunya): art. 73, objectiu de solidaritat urbana (15 % d'habitatges destinats a polítiques socials en vint anys). Text consolidat BOE-A-2008-3657.
  13. Decret legislatiu 1/2010, Text refós de la Llei d'urbanisme (consolidat 2012): art. 43.1, 45.1, 46, 57.3 — paràmetres del model
  14. Llei 11/2025, de mesures en matèria d'habitatge i urbanisme: reserva del 50 % SUD / 40 % SUNC, DT 3, DT 2.3
  15. PDU metropolità, Normes urbanístiques art. 154 (50 % d'habitatge protegit a les AOM), segona aprovació inicial 10-02-2026
  16. Ordre ECO/805/2003, art. 40–42 (mètode residual estàtic) i RD 1492/2011, art. 22 (VRS = Vv ÷ K − Vc)
  17. MITMA / MIVAU, valor tasado de la vivienda libre (taula 35103500), 21 municipis, 2026-T2
  18. Incasòl, fiances de nous contractes de lloguer: renda mitjana per municipi (2025)
  19. Agència de l'Habitatge de Catalunya, Instrucció 1/2026, preus màxims HPO
  20. Landeshauptstadt München, SoBoN (Sozialgerechte Bodennutzung), fullet 2025

How to citeBlanco Quintanilla, H. (2026). “Land-value uplift and affordable housing”. Xamfrà Working Paper No. 10. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#value-capture

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HousingXamfrà Working Paper No. 11Follows the work area

Protected housing: demand and supply

Registered households, protected stock, completion pace and planning: how many years it would take to meet current demand.

80,384households on the register (31-12-2025)
XMHPO

Own methodPer-thousand-household balance and years to coverRegistered demand, stock in force, completion pace and planning on one scale per municipality; ratios, never forecasts; unknown with a reason.

Abstract

Context
Spain has one of the smallest social rental stocks in the OECD and Catalonia set itself in 2007 the goal of 15 % of homes for social policies. Registered demand, protected stock, yearly completions and planning are published separately: no source says how long each municipality would take to house the households that wait.
Method
For each of the 36 municipalities, four quantities per 1,000 households of the 2021 census: registrations in force on the register, HPO homes with protection in force, definitive qualifications per year and protected homes expected from planning within 15 years. Years to cover = registrations ÷ pace; never merged into an index.
Results
In the AMB, 80,384 registered households (62.2 per thousand) against 41,141 HPO homes in force (31.9 per thousand). At 1,372 completions a year (2021–2025 mean) it would take 59–71 years to cover the registrations; in 2025, 36,858 new households registered and 1,791 homes were finished. Pending sectors would add 9,777–19,176 protected homes in 15 years: 12–24 % of demand.
Implications
Neither the recent pace nor planning closes the gap: consolidated urban land, purchases and refurbishment are needed, plus a public series of emergency cases and of public rental stock per municipality. Depending on the assumptions (building pace and share of registrations that is real need), the years to cover range from 11 to 71.
  • 80,384 registered households against 41,141 HPO homes with protection in force: 62.2 versus 31.9 per 1,000 households.
  • At the recent pace (1,372 completions a year) it would take 59–71 years to cover current registrations; in 2025, 36,858 new registrations came in for 1,791 homes finished.
  • Pending planning would add 9,777–19,176 protected homes in 15 years: only 12–24 % of registered demand.

Keywordsprotected housing · applicants register · stock in force · HPO qualifications · years to cover · urban solidarity · AMB

References 11 · 6 literature
  1. Scanlon, K., Whitehead, C. and Fernández Arrigoitia, M. (eds.) (2014). Social Housing in Europe. Wiley-Blackwell.
  2. Pareja-Eastaway, M. and Sánchez-Martínez, T. (2017). Social housing in Spain: what role does the private rented market play? Journal of Housing and the Built Environment 32(2), 377–395.
  3. OECD (2025). Affordable Housing Database, indicator PH4.2 Social rental housing stock (2022 or latest year): OECD average 7 % of the stock; Spain below 2 %.
  4. Housing Europe (2025). The State of Housing in Europe 2025, with the Spain country sheet (public social rental 1.7 % of dwellings; 180,000–250,000 households on waiting lists).
  5. Bramley, G. (2018). Housing supply requirements across Great Britain: for low-income households and homeless people. Crisis and National Housing Federation, Heriot-Watt University.
  6. Observatori Metropolità de l'Habitatge de Barcelona (2025). L'assequibilitat de l'habitatge a Catalunya en el 2024. Informe anual.
  7. Llei 18/2007, del dret a l'habitatge (Catalunya): art. 73, objectiu de solidaritat urbana (15 % d'habitatges destinats a polítiques socials en vint anys) i arts. 92–96, Registre de Sol·licitants d'HPO. Text consolidat BOE-A-2008-3657.
  8. Decret 408/2024, de 22 d'octubre, pel qual s'aprova el Pla territorial sectorial d'habitatge (DOGC 9276, 25-10-2024): calendari de vint anys des de l'1-1-2025 per a l'objectiu del 15 % als municipis de demanda forta i acreditada.
  9. Registre de Sol·licitants d'Habitatge amb Protecció Oficial de Catalunya (lloc oficial; sense estadística oberta per municipi)
  10. Idescat. Estadística de la construcció d'habitatges de protecció pública (qualificacions provisionals i definitives per municipi)
  11. Generalitat de Catalunya, dades obertes: Habitatges amb protecció oficial iniciats i acabats, sèrie anual per municipi (v8i4-fa4q), usada com a contrast

How to citeBlanco Quintanilla, H. (2026). “Protected housing: demand and supply”. Xamfrà Working Paper No. 11. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#protected-housing

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HousingXamfrà Working Paper No. 12Metropolitan (AMB)

Jobs–housing drift 2021–2025

Are workplaces and affordable housing pulling apart? Self-containment, commute, jobs vs workers and rent, in four counted quadrants.

6municipalities drifting (high rent growth, longer commute, 2021–2023)
XMDFH

Own methodCounted rent–commute quadrantsSelf-containment, flow-weighted commute, jobs/workers and rent per municipality → change 2021→E → quadrant by an explicit rule against the median; flows as a safe minimum. No composite index.

Abstract

Context
Since Kain (1968) and Cervero (1989), the distance between home and work has been read as a sign of metropolitan health: when affordable housing and jobs pull apart, the households with the least slack pay. With rents rising since 2021, the question is whether the AMB is drifting and where.
Method
For the 36 municipalities: 2021→2023 change in self-containment and in the average commute of those working elsewhere (INE matrices, straight-line distance weighted by flows), jobs against resident workers (affiliations) and the rent of new leases (Incasòl). Explicit quadrant rule: rent above or below the median × longer commute or not.
Results
The commuting map barely moves: self-containment from 46.16% to 46.4%, commute from 13.27 to 13.29 km. Volume moves (from 664,941 to 711,114 employed residents working elsewhere) and so does rent (median +14.14%). Six municipalities are «drifting» and three stay unclassified; in 23 jobs grow faster than resident workers.
Implications
Drift is localised: affordable housing and employment land where rent rises and commutes lengthen, with annual monitoring of self-containment, the jobs/workers ratio and rent. Quadrants are associations, not causes.
  • Metropolitan self-containment holds (46.16% → 46.4%) and the average commute of those who leave barely changes (13.27 → 13.29 km): the drift is in volume and price, not distance.
  • Six municipalities are «drifting» (rent above the +14.14% median and a longer commute): Barcelona, l’Hospitalet, Esplugues, Montgat, Pallejà and la Palma de Cervelló.
  • The fastest-growing flow is l’Hospitalet → Barcelona, +5,620 persons between 2021 and 2023; in 23 municipalities jobs grow faster than resident workers.

Keywordsjobs–housing balance · self-containment · commuting · rent · spatial mismatch · residence–workplace matrices · AMB

References 15 · 11 literature
  1. Kain, J. F. (1968). Housing segregation, Negro employment, and metropolitan decentralization. The Quarterly Journal of Economics 82(2), 175–197.
  2. Hamilton, B. W. i Röell, A. (1982). Wasteful commuting. Journal of Political Economy 90(5), 1035–1053.
  3. White, M. J. (1988). Urban commuting journeys are not «wasteful». Journal of Political Economy 96(5), 1097–1110.
  4. Cervero, R. (1989). Jobs-housing balancing and regional mobility. Journal of the American Planning Association 55(2), 136–150.
  5. Giuliano, G. i Small, K. A. (1993). Is the journey to work explained by urban structure? Urban Studies 30(9), 1485–1500.
  6. Levine, J. (1998). Rethinking accessibility and jobs-housing balance. Journal of the American Planning Association 64(2), 133–149.
  7. Horner, M. W. (2004). Spatial dimensions of urban commuting: a review of major issues and their implications for future geographic research. The Professional Geographer 56(2), 160–173.
  8. Coombes, M. G., Green, A. E. i Openshaw, S. (1986). An efficient algorithm to generate official statistical reporting areas: the case of the 1984 travel-to-work areas revision in Britain. Journal of the Operational Research Society 37(10), 943–953.
  9. Casado-Díaz, J. M. (2000). Local labour market areas in Spain: a case study. Regional Studies 34(9), 843–856.
  10. Roca Cladera, J., Marmolejo Duarte, C. R. i Moix, M. (2009). Urban structure and polycentrism: towards a redefinition of the sub-centre concept. Urban Studies 46(13), 2841–2868.
  11. OECD (2020). Delineating functional areas in all territories. OECD Territorial Reviews, OECD Publishing, París.
  12. Franconi, L., D’Alò, M. i Ichim, D. (2016). Istat implementation of the algorithm to develop labour market areas. Technical report, Eurostat grant «EU-TTWA method», v1.0.
  13. INE. Censo anual de población: matriz de municipio de residencia por municipio de trabajo (2021–2023).
  14. Idescat. Estadística de mobilitat obligada: metodologia (autocontenció i autosuficiència municipals).
  15. Observatori Metropolità de l’Habitatge de Barcelona (2025). Els contractes de lloguer a la demarcació de Barcelona, 2010–2023. Laboratori O-HB, gener de 2025.

How to citeBlanco Quintanilla, H. (2026). “Jobs–housing drift 2021–2025”. Xamfrà Working Paper No. 12. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#jobs-housing-drift

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HousingXamfrà Working Paper No. 13Follows the work area

Property, tourism and displacement in Barcelona

Did ownership by legal entities come before rent and tourist flats? 73 neighbourhoods over seventeen years, with lags and intervals.

73neighbourhoods followed 2009–2026
XMLAG

Own methodNeighbourhood lag panelCross-correlations of yearly changes (lags −3…+3) with a cluster bootstrap over neighbourhoods, and an ordered-rule typology on city quantiles

Abstract

Context
Since 2009 Barcelona has seen housing ownership by legal entities grow while rents rose and tourist accommodation expanded. The literature on financialisation and tourism gentrification describes a chain between them, yet few open sources allow it to be followed neighbourhood by neighbourhood.
Method
Panel of 73 neighbourhoods, 2009–2026: share of premises held by legal entities (Cadastre), new-lease rent (Incasòl), population register and HUT. Cross-correlations of yearly changes at lags −3 to +3 years, a cluster bootstrap over neighbourhoods and an ordered-rule typology. Descriptive only.
Results
The city’s legal-entity share goes from 12.3% to 15.3%; the median neighbourhood rise (2014–2025) is 1.6 points. The correlation between the share’s rise and the rent rise one year later is 0.22 (0.15–0.30), but the asymmetry between directions (0.05; −0.03 to 0.15) includes 0. Population tends to grow after the share (asymmetry 0.33). 14 neighbourhoods combine a corporate rise with many HUT; in 8 the share rises before rent.
Implications
Lagged associations do not prove cause, but they say where ownership, new leases and HUT licences should be watched together. An HUT series by neighbourhood and ownership by owner size would most improve monitoring.
  • The share of housing premises held by legal entities rises from 12.3% (2009) to 15.3% (2026) in Barcelona; 73 neighbourhoods followed over seventeen years.
  • Share rise → rent rise one year later: r = 0.22 (0.15–0.30); in the reverse direction, 0.02. The asymmetry (0.05) includes 0: the temporal lead of corporate ownership is weak.
  • Typology: 14 tourist-and-corporate neighbourhoods, 8 with corporate ownership first, 17 with rent ahead; 10,719 HUT listed (2026-Q3), a single snapshot.

Keywordshousing ownership · legal entities · financialisation · rent · tourist-use dwellings · tourism gentrification · lagged correlation · cluster bootstrap · Barcelona

References 15 · 7 literature
  1. Aalbers, M. B. (2016). The Financialization of Housing: A Political Economy Approach. Routledge (Routledge Studies in the Modern World Economy).
  2. Fields, D. i Uffer, S. (2016). The financialisation of rental housing: A comparative analysis of New York City and Berlin. Urban Studies 53(7), 1486–1502.
  3. Cócola Gant, A. (2016). Holiday rentals: The new gentrification battlefront. Sociological Research Online 21(3), 112–120.
  4. Cocola-Gant, A. (2018). Tourism gentrification. A: Lees, L. i Phillips, M. (eds.), Handbook of Gentrification Studies. Edward Elgar.
  5. Wachsmuth, D. i Weisler, A. (2018). Airbnb and the rent gap: Gentrification through the sharing economy. Environment and Planning A: Economy and Space 50(6), 1147–1170.
  6. Garcia-López, M.-À., Jofre-Monseny, J., Martínez-Mazza, R. i Segú, M. (2020). Do short-term rental platforms affect housing markets? Evidence from Airbnb in Barcelona. Journal of Urban Economics 119, 103278.
  7. López-Gay, A., Cocola-Gant, A. i Russo, A. P. (2021). Urban tourism and population change: Gentrification in the age of mobilities. Population, Space and Place 27(1), e2380.
  8. Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37(3), 424–438.
  9. Cameron, A. C., Gelbach, J. B. i Miller, D. L. (2008). Bootstrap-based improvements for inference with clustered errors. Review of Economics and Statistics 90(3), 414–427.
  10. Künsch, H. R. (1989). The jackknife and the bootstrap for general stationary observations. Annals of Statistics 17(3), 1217–1241.
  11. Observatori Metropolità de l’Habitatge de Barcelona (O-HB, Institut Metròpoli). Estructura i concentració de la propietat d’habitatges a la ciutat de Barcelona. 2025.
  12. Ajuntament de Barcelona, Departament d’Estadística i Difusió de Dades. Nombre, superfície i valor cadastral dels locals d’habitatge segons tipus i nacionalitat del propietari (Open Data BCN, CC BY 4.0, 2009–2026).
  13. Ajuntament de Barcelona. Habitatges d’ús turístic de la ciutat de Barcelona (Open Data BCN, CC BY 4.0; instantània 2026-T3).
  14. Incasòl (Generalitat de Catalunya). Lloguer de contractes nous registrats (fiances), per barri de Barcelona, via el conjunt de dades de lloguer de l’AMB (dades obertes de la Generalitat).
  15. INE. Estadística experimental: medición del turismo a partir de teléfonos móviles (context municipal; no entra als retards).

How to citeBlanco Quintanilla, H. (2026). “Property, tourism and displacement in Barcelona”. Xamfrà Working Paper No. 13. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#ownership-tourism

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Mobility

MobilityXamfrà Working Paper No. 14Metropolitan (AMB)

Real commuting basins

Where do trips really end? Communities of the trip network of the 36 municipalities, against municipal and county limits.

5functional basins
XMCON

Own methodDirected-modularity basins with a robustness auditDirected Louvain (γ = 1) on the MITMA trip network of the 36 municipalities, checked against shuffled labels, noise, a resolution sweep and the INE census 2021–2024.

Abstract

Context
Municipal and county limits in the Barcelona metropolitan area do not match the geography of daily life. From the nodal regions of Nystuen and Dacey to the OECD functional urban areas, the question is the same: which municipalities form one commuting market?
Method
The 36 AMB municipalities are the nodes of a directed network weighted by weekday trips (MITMA, October 2025). Directed modularity is maximised with the Louvain heuristic (γ = 1) and the resulting partition is audited with shuffled labels, edge noise, a resolution sweep and the INE residence-by-workplace and study-place matrices (2021–2024).
Results
Five basins emerge (Q = 0.28; 8.1 standard deviations above chance). 59% of trips never leave the municipality and 87% of the trips of the Barcelona basin (2.37 m inhabitants) end inside it. The counties explain the flows worse (Q = 0.25; NMI with the basins 0.63). Under noise the partition holds (mean NMI 0.87) and the 2023 INE census reproduces the structure at fine resolution (NMI 0.66 at γ = 1; 0.82 at γ = 1.25).
Implications
Basins are a reasonable unit for planning transport, services and fares beyond the municipality, always as a robust grouping and never as a perimeter. Their stability across sources and years makes them usable as a yearly indicator.
  • 5 functional basins with Q = 0.28, 8.1 standard deviations above a random partition.
  • Counties explain the flows worse (Q = 0.25) and only partly match the basins (NMI 0.63).
  • The structure withstands noise (mean NMI 0.87) and the 2023 INE census reproduces it at γ = 1.25 (NMI 0.82).

Keywordscommuting basins · community detection · directed modularity · Louvain · functional areas · self-containment · MITMA · INE census · AMB

References 19 · 14 literature
  1. Nystuen, J. D. i Dacey, M. F. (1961). A graph theory interpretation of nodal regions. Papers in Regional Science 7(1), 29–42.
  2. Coombes, M. G., Green, A. E. i Openshaw, S. (1986). An efficient algorithm to generate official statistical reporting areas: the case of the 1984 Travel-to-Work Areas revision in Britain. Journal of the Operational Research Society 37(10), 943–953.
  3. Office for National Statistics (2015). Commuting to work, changes to Travel to Work Areas: 2001 to 2011.
  4. OECD (2012). Redefining “Urban”: a new way to measure metropolitan areas. OECD Publishing.
  5. Dijkstra, L., Poelman, H. i Veneri, P. (2019). The EU-OECD definition of a functional urban area. OECD Regional Development Working Papers 2019/11.
  6. Roca Cladera, J., Moix Bergadà, M. i Arellano Ramos, B. (2012). El sistema urbano en España. Scripta Nova XVI(396).
  7. Ratti, C., Sobolevsky, S., Calabrese, F., Andris, C., Reades, J., Martino, M., Claxton, R. i Strogatz, S. H. (2010). Redrawing the map of Great Britain from a network of human interactions. PLoS ONE 5(12), e14248.
  8. Newman, M. E. J. (2006). Modularity and community structure in networks. PNAS 103(23), 8577–8582.
  9. Leicht, E. A. i Newman, M. E. J. (2008). Community structure in directed networks. Physical Review Letters 100, 118703.
  10. Reichardt, J. i Bornholdt, S. (2006). Statistical mechanics of community detection. Physical Review E 74, 016110.
  11. Blondel, V. D., Guillaume, J.-L., Lambiotte, R. i Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment 2008(10), P10008.
  12. Dugué, N. i Perez, A. (2015). Directed Louvain: maximizing modularity in directed networks. Informe, HAL hal-01231784.
  13. Fortunato, S. i Barthélemy, M. (2007). Resolution limit in community detection. PNAS 104(1), 36–41.
  14. Fortunato, S. (2010). Community detection in graphs. Physics Reports 486(3–5), 75–174.
  15. Rosvall, M. i Bergstrom, C. T. (2008). Maps of random walks on complex networks reveal community structure. PNAS 105(4), 1118–1123.
  16. Traag, V. A., Waltman, L. i van Eck, N. J. (2019). From Louvain to Leiden: guaranteeing well-connected communities. Scientific Reports 9, 5233.
  17. Fruchterman, T. M. J. i Reingold, E. M. (1991). Graph drawing by force-directed placement. Software: Practice and Experience 21(11), 1129–1164.
  18. MITMA, estudis de mobilitat amb Big Data: viatges per districtes (dades obertes).
  19. INE, Cens anual de població: matrius de residència per lloc de treball i d’estudis (CC BY 4.0).

How to citeBlanco Quintanilla, H. (2026). “Real commuting basins”. Xamfrà Working Paper No. 14. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#commuting-basins

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MobilityXamfrà Working Paper No. 15Metropolitan (AMB)

Ridership and urban change: what makes each station grow

Which stations gain riders and how much is associated with new housing nearby, line service or the general recovery.

111Barcelona stations in the model
XMVIA

Own methodLine × month panel with network–line–station decompositionStation and line × month fixed effects on ln(riders), exposure to newly licensed housing within 800 m lagged 12 months, a placebo and a three-layer decomposition of annual growth.

Abstract

Context
Between 2023 and 2025 the TMB metro gained 9.1% riders and FGC in the AMB 8.8%, but very unevenly across stations. How much is general recovery, how much line service and how much urban change around the station?
Method
Monthly panel of 185 stations (36 months) and station and line × month fixed effects on ln(riders) for the 111 Barcelona stations with known exposure (3,989 observations): newly licensed housing within 800 m, accumulated to 12 months earlier, per 1,000 residents. Station-clustered errors, a placebo and a decomposition of growth into network, line and station.
Results
Per standard deviation of exposure a station grows 1.35% more (95% CI −1.02 to +3.77): positive but not distinguishable from zero, like the placebo (−1.23%). The line explains 22% of the variance of growth on the metro; the local component is uncorrelated with the part attributed to new housing (r = 0.08).
Implications
With granted licences rather than occupied dwellings, a station’s growth is better read through the service of its line than through nearby building works. Licence lists should be open in every municipality, with a service history per station; the associations are not causes.
  • TMB metro +9.1% and FGC (AMB) +8.8% riders between 2023 and 2025, with a wide spread between stations of the same line.
  • Newly licensed housing within 800 m is associated with +1.35% riders per standard deviation, an interval that includes zero; so is the placebo (−1.23%).
  • The line explains 22% of the variance of growth on the metro: service weighs more than nearby building works in this period.

Keywordsridership · metro · FGC · new housing · building permits · fixed effects · post-COVID recovery · Barcelona

References 17 · 9 literature
  1. Cervero, R. (2006). Alternative approaches to modeling the travel-demand impacts of smart growth. Journal of the American Planning Association 72(3), 285–295.
  2. Ewing, R. i Cervero, R. (2010). Travel and the built environment: a meta-analysis. Journal of the American Planning Association 76(3), 265–294.
  3. Taylor, B. D., Miller, D., Iseki, H. i Fink, C. (2009). Nature and/or nurture? Analyzing the determinants of transit ridership across US urbanized areas. Transportation Research Part A 43(1), 60–77.
  4. Taylor, B. D. i Fink, C. N. Y. (2013). Explaining transit ridership: what has the evidence shown? Transportation Letters 5(1), 15–26.
  5. Kuby, M., Barranda, A. i Upchurch, C. (2004). Factors influencing light-rail station boardings in the United States. Transportation Research Part A 38(3), 223–247.
  6. Gutiérrez, J., Cardozo, O. D. i García-Palomares, J. C. (2011). Transit ridership forecasting at station level: an approach based on distance-decay weighted regression. Journal of Transport Geography 19(6), 1081–1092.
  7. Cardozo, O. D., García-Palomares, J. C. i Gutiérrez, J. (2012). Application of geographically weighted regression to the direct forecasting of transit ridership at station-level. Applied Geography 34, 548–558.
  8. Guerra, E., Cervero, R. i Tischler, D. (2012). Half-mile circle: does it best represent transit station catchments? Transportation Research Record 2276(1), 101–109.
  9. Ziedan, A., Brakewood, C. i Watkins, K. (2023). Will transit recover? A retrospective study of nationwide ridership in the United States during the COVID-19 pandemic. Journal of Public Transportation 25, 100046.
  10. KiM Netherlands Institute for Transport Policy Analysis (2023). What happened to public transport passengers? La Haia, 02-11-2023.
  11. Cameron, A. C. i Miller, D. L. (2015). A practitioner’s guide to cluster-robust inference. Journal of Human Resources 50(2), 317–372.
  12. ATM (2024). El transport públic de l’àrea integrada de Barcelona continua en xifres rècord: 1.135 milions de viatges en 12 mesos consecutius. Nota de premsa, 24-10-2024; TransMet Xifres (Idescat PAAE 2024, operació 030708).
  13. TMB (2025). Les xifres de rècord que van moure les xarxes de transport de TMB durant el 2024. Notícies TMB, 03-04-2025.
  14. TMB, Portal de transparència: viatgers del metro per línia, estació i mes (2023–2025).
  15. Generalitat de Catalunya / FGC. Demanda mensual de viatgers d’FGC (dades obertes).
  16. Ajuntament de Barcelona. Llicències d’obres majors concedides (Gaseta Municipal); geocodificació amb Open Data BCN (CC BY 4.0).
  17. Xamfrà. Accessibilitat a l’ocupació (modelada): residents 2025 i llocs de treball modelats 2026 per secció; estacions TOD (freqüència programada 2026).

How to citeBlanco Quintanilla, H. (2026). “Ridership and urban change: what makes each station grow”. Xamfrà Working Paper No. 15. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#ridership-change

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MobilityXamfrà Working Paper No. 16Metropolitan (AMB)

Unmet demand: where trips outgrow public transport supply

Which district pairs move many people but have a long, transfer-heavy or infrequent public transport option? Corridors where demand has no competitive supply.

107corridors with insufficient service
XMDNS

Own methodPair-by-pair PT / car competitiveness test with corridorsScheduled timetable (RAPTOR) against a declared reference car; a three-criterion counted rule per zone pair; pairs added into corridors between municipalities.

Abstract

Context
A radial network serves the centre well and leaves tangential trips without a competitive alternative. The literature measures that gap as the ratio of public-transport to car time; the AMB lacked a pair-by-pair reading.
Method
For each pair of the 102 MITMA district zones (October 2025 weekday) the scheduled 07:00–09:00 time is compared with a declared reference car. A counted rule (no competitive PT, or ≥ 2.5× the car with low frequency or ≥ 2 transfers) flags the pair; directions are added into corridors.
Results
Of 8,025,525 daily trips between zones, 3,174,140 are classified and 426,510 (13.4%) fall on pairs with insufficient service. On 107 corridors; the top 10 hold 43.5%. No pair inside Barcelona meets the rule (median 1.58×); in the rest of the AMB it is 2.15× and 72% of exposed trips are there. Other thresholds give 11.2 to 21.7%.
Implications
It is a priority map for tangential lines, frequency and transfers, not a count of lost riders, and an upper bound: 9 municipalities, among them Sant Cugat del Vallès, have no urban bus in the data and hold most of the exposed trips. Local service and modal share must be checked there before anything is sized.
  • 426,510 daily trips (13.4% of those classified) fall on pairs with insufficient service; 238,807 have no competitive PT at the morning peak.
  • No pair inside Barcelona meets the rule; 72% of the exposed trips run between municipalities outside the city, with a median PT/car of 2.15×.
  • The Sant Cugat del Vallès ↔ Cerdanyola del Vallès corridor tops the list with 43,563 exposed trips a day.

Keywordsunmet demand · public transport · PT / car competitiveness · corridors · accessibility · MITMA · EMEF · AMB

References 17 · 11 literature
  1. Hansen, W. G. (1959). How Accessibility Shapes Land Use. Journal of the American Institute of Planners 25(2), 73–76.
  2. Geurs, K. T. i van Wee, B. (2004). Accessibility evaluation of land-use and transport strategies: review and research directions. Journal of Transport Geography 12(2), 127–140.
  3. Kawabata, M. i Shen, Q. (2007). Commuting Inequality between Cars and Public Transit: The Case of the San Francisco Bay Area, 1990–2000. Urban Studies 44(9), 1759–1780.
  4. Currie, G. (2010). Quantifying spatial gaps in public transport supply based on social needs. Journal of Transport Geography 18(1), 31–41.
  5. Delbosc, A. i Currie, G. (2011). Using Lorenz curves to assess public transport equity. Journal of Transport Geography 19(6), 1252–1259.
  6. Tomer, A., Kneebone, E., Puentes, R. i Berube, A. (2011). Missed Opportunity: Transit and Jobs in Metropolitan America. Brookings Institution.
  7. Lucas, K. (2012). Transport and social exclusion: Where are we now? Transport Policy 20, 105–113.
  8. Salonen, M. i Toivonen, T. (2013). Modelling travel time in urban networks: comparable measures for private car and public transport. Journal of Transport Geography 31, 143–153.
  9. Delling, D., Pajor, T. i Werneck, R. F. (2015). Round-Based Public Transit Routing. Transportation Science 49(3), 591–604.
  10. Pereira, R. H. M., Schwanen, T. i Banister, D. (2017). Distributive justice and equity in transportation. Transport Reviews 37(2), 170–191.
  11. ITF (2019). Benchmarking Accessibility in Cities: Measuring the Impact of Proximity and Transport Performance. International Transport Forum Policy Papers 68, OECD Publishing.
  12. Liao, Y., Gil, J., Pereira, R. H. M., Yeh, S. i Verendel, V. (2020). Disparities in travel times between car and transit: Spatiotemporal patterns in cities. Scientific Reports 10, 4056.
  13. ATM (2026). Pla director de mobilitat (pdM) 2026–2031, en redacció.
  14. MITMA. Estudios de movilidad con Big Data: dades obertes (viatges diaris per districtes i municipis, especificacions i nota de canvi metodològic de l'01-07-2025).
  15. ATM, Idescat, Institut Metròpoli. Enquesta de mobilitat en dia feiner (EMEF), 2014–2024.
  16. AMB, TMB, FGC, Renfe Rodalies, TRAM: horaris GTFS (dia feiner, 07–09 h), via el fitxer d'horari del visor. (document intern docs/TRANSIT-TRAVEL-TIME.md)
  17. Xamfrà: matriu de temps secció × secció i llocs de treball modelats (INE 2025, Idescat, Cadastre, OSM). (document intern docs/JOB-ACCESSIBILITY.md)

How to citeBlanco Quintanilla, H. (2026). “Unmet demand: where trips outgrow public transport supply”. Xamfrà Working Paper No. 16. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#unmet-demand

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Energy and climate

Energy and climateXamfrà Working Paper No. 17Metropolitan (AMB)

Water and growth: stormwater stress where growth is planned

Where will planned growth add homes and sealed land upstream of known overflow points or flood zones, and where is no retention known?

70,914planned homes still to build
XMRCD

Own methodDrainage criteria count by catchment proxyFive explicit criteria counted as met, not met or unknown per proxy drainage unit; no weighted index and no hydraulic model.

Abstract

Context
Planning in the 36 AMB municipalities enables 70,914 homes still to build in 606 sectors, which will seal soil upstream of a network with 772 inventoried overflow points (187 inside the T100 flood zone). No open sewer catchments exist and rain-tank capacity is not published.
Method
Sectors, overflow points and tanks are assigned to 16 proxy drainage units (nearest main river or stream, 100 m grid) and to the municipality. Five criteria are counted per unit (home, sealed-land and overflow intensity against the AMB; homes in T100; a register showing no tank) as met, not met or unknown, without weights.
Results
49,047 pending homes (69%) fall in proxies meeting three or more criteria; the Llobregat holds 35,560 with 4 of 5. 38 sectors overlap T100: 8,583 known pending homes, and 11 of those sectors have no pending figure (3,408 planned), not counted as zero; 167 sectors have an unknown condition. New sealed land: 1,065 ha (737–1,392). Outside Barcelona, 63,806 homes (90%) have no retention register at all.
Implications
It prioritises where to demand hydraulic studies and drainage conditions before approving sectors, not where an event will occur. Indicators: published tank capacity, a register beyond Barcelona and overflow frequency.
  • 69% of the 70,914 pending homes fall in catchment proxies meeting 3 or more of 5 criteria; the Llobregat alone holds 35,560.
  • 8,583 known pending homes in sectors overlapping the T100 zone; 11 of those sectors have no pending figure and another 167 have an unknown condition: not ruled out, not zero.
  • 13 registered rain tanks, none with published capacity and Barcelona only: elsewhere retention is unknown, not zero.

Keywordsurban drainage · sealed soil · sewer overflows · T100 flood zone · rain tanks · planning · AMB

References 17 · 6 literature
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  2. Shuster, W. D., Bonta, J., Thurston, H., Warnemuende, E. i Smith, D. R. (2005). Impacts of impervious surface on watershed hydrology: a review. Urban Water Journal 2(4), 263–275.
  3. Walsh, C. J., Roy, A. H., Feminella, J. W., Cottingham, P. D., Groffman, P. M. i Morgan, R. P. (2005). The urban stream syndrome: current knowledge and the search for a cure. Journal of the North American Benthological Society 24(3), 706–723.
  4. Schueler, T. R., Fraley-McNeal, L. i Cappiella, K. (2009). Is impervious cover still important? Review of recent research. Journal of Hydrologic Engineering 14(4), 309–315.
  5. Chow, V. T., Maidment, D. R. i Mays, L. W. (1988). Applied Hydrology. McGraw-Hill, Nova York. ISBN 0-07-010810-2 (mètode racional, Q = C·i·A).
  6. Fletcher, T. D., Shuster, W., Hunt, W. F. et al. (2015). SUDS, LID, BMPs, WSUD and more: the evolution and application of terminology surrounding urban drainage. Urban Water Journal 12(7), 525–542.
  7. Chan, F. K. S., Griffiths, J. A., Higgitt, D. et al. (2018). «Sponge City» in China: a breakthrough of planning and flood risk management in the urban context. Land Use Policy 76, 772–778.
  8. Directiva 2007/60/CE del Parlament Europeu i del Consell, de 23 d’octubre de 2007, relativa a l’avaluació i gestió dels riscos d’inundació (EUR-Lex).
  9. Real Decreto 903/2010, de 9 de julio, de evaluación y gestión de riesgos de inundación (BOE núm. 171, 15-07-2010): transposició de la Directiva 2007/60/CE.
  10. Agència Catalana de l’Aigua (2023). Pla de gestió del risc d’inundació del districte de conca fluvial de Catalunya, 2n cicle (2022–2027): ARPSI, mapes de perillositat T10/T100/T500 i programa de mesures. Aprovat pel RD 688/2023.
  11. Ajuntament de Barcelona (15-04-2023). Aprovació inicial del pla especial urbanístic de 31 dipòsits antiinundació i anti-DSU del Pla Director Integral de Sanejament de Barcelona (PDISBA ’20), BCASA: 12 dipòsits existents (447.020 m³) i 34 previstos (949.200 m³).
  12. Copernicus Land Monitoring Service / EEA. High Resolution Layer Imperviousness: densitat de segellat del sòl 0–100 % (Imperviousness Density 2018, ràster 10 m i 100 m, Europa).
  13. AMB / Idescat-MUC (via transformation-areas): sectors de planejament amb habitatges pendents (hab_vacant), files MUC 02-2024.
  14. Agència Catalana de l’Aigua: inventari de sobreeixidors de Catalunya (inventari 04-10-2026; Llicència oberta d’ús d’informació de Catalunya).
  15. MITECO · SNCZI (estudis ACA): zona inundable fluvial T10+T100, delimitació 16-07-2020, derivat ràster 5 m.
  16. Ajuntament de Barcelona (Open Data BCN): dipòsits d’aigües pluvials a la ciutat de Barcelona (CC BY 4.0; capacitat no publicada).
  17. OpenStreetMap contributors: cursos d’aigua (ODbL 1.0), només per construir els proxies de conca.

How to citeBlanco Quintanilla, H. (2026). “Water and growth: stormwater stress where growth is planned”. Xamfrà Working Paper No. 17. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#stormwater-growth

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Energy and climateXamfrà Working Paper No. 18Metropolitan (AMB)

Readiness for electrification: charging, solar and demand

Where the plug-in car will outgrow public charging, where rooftops can cover the demand and which sections have no garage.

235priority sections: likely no garage and no public point within 400 m
XMELE

Own methodScenarios, yardstick and garage ruleThree counted readings, no index: arithmetic plug-in scenarios → AFIR-yardstick coverage with today’s network → quadrant; three Cadastre criteria of likely garage + 400 m → section class; roofs ÷ 2030 demand.

Abstract

Context
The plug-in fleet could multiply by 2 to 7.5 times by 2030, and those who cannot charge at home depend on the street. For a metropolitan administration the question is threefold: how many vehicles will need charging, where the people without a garage live and where the energy will come from, at the scale of the municipality and the census section.
Method
With the DGT fleet (2015–2025) of the 28 municipalities with published fuel type, three arithmetic rules project the plug-in stock to 2030 and the known public power, added up charge point by charge point, is compared with the AFIR yardstick. In 2,151 census sections, three Cadastre criteria give a likely-garage indicator which, crossed with the distance to the nearest public point (400 m), marks the priority sections. Unknown is never zero: 8 municipalities stay outside the classification.
Results
The AMB had 33,198 plug-in cars in 2025 (3.0% of the fleet); in 2030 it would have between 69,974 and 249,719 depending on the rule. The 3,785 public charge points (at 1,228 sites) exceed the yardstick today, at 203%, but with no new points they would cover 40% in 2030 (trend scenario) and only 3 municipalities would reach it; 12 municipalities are under “pressure” and 13 in a “latent gap”. 235 sections (368,541 residents) are priority. Suitable roofs would yield 24 times the 2030 charging energy.
Implications
Public charging should be examined first in the priority sections; the AFIR yardstick gives a scale for concessions even though it does not bind the municipality; and solar is a problem of hourly timing and ownership, not of quantity. No figure is a forecast: they are declared rules that can be followed year after year.
  • 33,198 plug-ins in 2025 and between 69,974 and 249,719 in 2030: the range between three arithmetic rules measures uncertainty, it is not a forecast.
  • 3,785 public charge points add up to 203% of the AFIR yardstick today, but with no new points they would cover 40% in 2030: 12 municipalities under pressure, 13 in a latent gap, 3 with enough supply and 8 without data (never zero).
  • 235 census sections with no likely garage and no public point within 400 m: 368,541 residents who depend on the street to charge.

Keywordselectric vehicle · public charging · AFIR · garage · census sections · rooftop photovoltaics · scenarios · AMB

References 16 · 7 literature
  1. IEA (2025). Global EV Outlook 2025. International Energy Agency, París.
  2. Hardman, S., Jenn, A., Tal, G., Axsen, J., Beard, G., Daina, N., Figenbaum, E., Jakobsson, N., Jochem, P., Kinnear, N., Plötz, P., Pontes, J., Refa, N., Sprei, F., Turrentine, T. i Witkamp, B. (2018). A review of consumer preferences of and interactions with electric vehicle charging infrastructure. Transportation Research Part D: Transport and Environment 62, 508–523.
  3. Hsu, C.-W. i Fingerman, K. (2021). Public electric vehicle charger access disparities across race and income in California. Transport Policy 100, 59–67.
  4. ICCT — International Council on Clean Transportation (2020). Regional charging infrastructure requirements in Germany through 2030. White paper, 21-10-2020.
  5. Fachrizal, R., Shepero, M., van der Meer, D., Munkhammar, J. i Widén, J. (2020). Smart charging of electric vehicles considering photovoltaic power production and electricity consumption: A review. eTransportation 4, 100056.
  6. Bódis, K., Kougias, I., Jäger-Waldau, A., Taylor, N. i Szabó, S. (2019). A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union. Renewable and Sustainable Energy Reviews 114, 109309.
  7. Reglament (UE) 2023/1804 del Parlament Europeu i del Consell, de 13 de setembre de 2023, relatiu a la implantació d’una infraestructura per als combustibles alternatius (AFIR). DO L 234, 22-9-2023. Art. 3(1): ≥ 1,3 kW per BEV i ≥ 0,80 kW per PHEV lleugers matriculats, en estacions d’accés públic, des del 2024.
  8. Directiva 2014/94/UE del Parlament Europeu i del Consell, de 22 d’octubre de 2014, relativa a la implantació d’una infraestructura per als combustibles alternatius. DO L 307, 28-10-2014. Considerant 23: «at least one recharging point per 10 cars» com a indicació.
  9. Directiva (UE) 2024/1275 del Parlament Europeu i del Consell, de 24 d’abril de 2024, relativa a l’eficiència energètica dels edificis (refosa). DO L, 8-5-2024. Art. 14(4): precablejat d’almenys el 50 % de les places i conductes a la resta als edificis residencials nous o en rehabilitació important amb més de tres places; almenys un punt de recàrrega als nous.
  10. IEA (2026). Global EV Outlook 2026. International Energy Agency, París (publicat el 20-5-2026).
  11. DGT. Parque de vehículos: microdades anuals del parc consolidat 2014–2025 (via Idescat «Parc de vehicles» per municipi; els municipis de menys de 10.000 habitants no tenen detall de combustible).
  12. DGT — Punt d’Accés Nacional (NAP). Puntos de recarga eléctrica para vehículos (DATEX II v3, dades del MITERD, actualització diària; taula del 15-10-2026, fusionada amb ICAEN i Endolla a la capa de punts de recàrrega).
  13. ICAEN. Estacions de recàrrega per a vehicle elèctric a Catalunya (tb2m-m33b), Dades obertes de Catalunya.
  14. ICAEN. Consum d’energia elèctrica per municipis i sectors (8idm-becu), Dades obertes de Catalunya.
  15. Generalitat de Catalunya, Departament de Territori, Habitatge i Transició Ecològica. Instal·lacions d’autoconsum elèctric, Registre d’Autoconsum de Catalunya (2b4s-skfm; dades fins al 31-12-2025, actualitzat l’1-6-2026), Dades obertes de Catalunya.
  16. AMB. Visor de radiació solar fotovoltaica: potencial màxim de generació a les cobertes dels edificis metropolitans (ràster del 28-9-2022 segons el manifest).

How to citeBlanco Quintanilla, H. (2026). “Readiness for electrification: charging, solar and demand”. Xamfrà Working Paper No. 18. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#electrification

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Energy and climateXamfrà Working Paper No. 19Metropolitan (AMB)

Wildland-urban interface: who lives next to forest and how long the fire service takes

Dwellings, people, building age and modelled arrival time within 0–25 and >25–100 m of forest, each figure on its own.

40,154dwellings within 0–25 m of forest
XMIUF

Own methodBand-by-band exposure of the wildland-urban interfaceDwellings, ≈ residents, ages, building age and modelled arrival time per band of 0–25 and >25–100 m from forest; separate figures, never an index; unknowns apart.

Abstract

Context
In the AMB, forest and scrub meet the city at Collserola, the Garraf, the Ordal and the Marina range. Catalan rules require protection strips around housing estates, but no public source says how many people live right next to forest or how long a fire engine would take to get there.
Method
For each Cadastre parcel within 0–25 m or >25–100 m of forest or scrub of at least 1 ha (ICGC 2024 land cover), dwellings, construction year and modelled driving time from the nearest professional station on the OpenStreetMap network. Residents, 65+ and 0–14 are section figures (INE 2025) shared by dwellings. Each figure is given separately.
Results
Within 0–25 m of forest there are 40,154 dwellings and about 104,131 residents, of whom about 17,763 are 65 or older. Half of these dwellings have the professional station within 10.3 min according to the model, and 51.7 % are beyond 10 min. Corbera de Llobregat reaches a 23.8 min median. 20,301 dwellings in the band are in buildings from before 1980.
Implications
Proximity to forest and distance to the fire station do not peak in the same places: the south-western municipalities, served by volunteer stations, need their own reading of prevention, access and self-protection, and real response-time data should be published.
  • 40,154 dwellings and ≈ 104,131 residents within 0–25 m of forest; ≈ 17,763 are aged 65 or over.
  • Modelled arrival time at 0–25 m: 10.3 min median and 51.7 % of dwellings beyond 10 min; at >25–100 m, 8.8 min.
  • Modelled time without traffic or turnout, not real response time.

Keywordswildland-urban interface · wildfires · arrival time · fire service · Collserola · AMB

References 15 · 7 literature
  1. Radeloff, V.C. et al. (2005). The wildland–urban interface in the United States. Ecological Applications 15(3), 799–805.
  2. Radeloff, V.C. et al. (2018). Rapid growth of the US wildland-urban interface raises wildfire risk. PNAS 115(13), 3314–3319.
  3. Syphard, A.D. et al. (2012). Housing arrangement and location determine the likelihood of housing loss due to wildfire. PLoS ONE 7(3), e33954.
  4. Bento-Gonçalves, A. and Vieira, A. (2020). Wildfires in the wildland-urban interface: key concepts and evaluation methodologies. Science of the Total Environment 707, 135592.
  5. Badia, A., Serra, P. and Modugno, S. (2011). Identifying dynamics of fire ignition probabilities in two representative Mediterranean wildland-urban interface areas. Applied Geography 31(3), 930–940.
  6. Calkin, D.E., Cohen, J.D., Finney, M.A. and Thompson, M.P. (2014). How risk management can prevent future wildfire disasters in the wildland-urban interface. PNAS 111(2), 746–751.
  7. Modugno, S., Balzter, H., Cole, B. and Borrelli, P. (2016). Mapping regional patterns of large forest fires in Wildland–Urban Interface areas in Europe. Journal of Environmental Management 172, 112–126.
  8. Decret 123/2005, de 14 de juny, de mesures de prevenció dels incendis forestals en les urbanitzacions sense continuïtat immediata amb la trama urbana (DOGC).
  9. ICGC. Mapa de cobertes del sòl de Catalunya 2024 (CC BY 4.0).
  10. Geofabrik / OpenStreetMap contributors. Catalunya extract 29-09-2026 (ODbL 1.0).
  11. Generalitat de Catalunya. Equipaments de Catalunya, «Parcs de Bombers».
  12. Generalitat de Catalunya. Departament d’Agricultura, Ramaderia, Pesca i Alimentació. Incendis forestals a Catalunya, anys 2011–2024 (Llicència oberta d’ús d’informació – Catalunya).
  13. Ajuntament de Barcelona. Open Data BCN, equipaments d’administració: parcs de Bombers de Barcelona (CC BY 4.0).
  14. Direcció General del Cadastre. Cadastre INSPIRE, parcel·les amb nombre d’habitatges i any de construcció (ATOM 2026-08).
  15. INE. Padró continu per secció censal 2025 (població total, 0–14 i 65 o més).

How to citeBlanco Quintanilla, H. (2026). “Wildland-urban interface: who lives next to forest and how long the fire service takes”. Xamfrà Working Paper No. 19. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#urban-forest-interface

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Method

MethodXamfrà Working Paper No. 20Metropolitan (AMB)

Xamfrà methods

Counted criteria, not weighted indices: how the views, detectors and studies are built, and where they fail.

11method families documented
XMK3

Own methodThree-valued count of explicit criteriaEvery criterion is yes / no / unknown with a visible threshold; criteria are counted per family, never weighted or subtracted; the unknown is reported; every dataset carries a manifest, sensitivity and a back-test.

Abstract

Context
Composite indices summarise well but hide judgements: the choice of weights, the compensation between opportunity and risk and the treatment of what is not known. A metropolitan public decision (36 municipalities, 2,151 census sections, a master plan at initial approval) needs every step to be visible, debatable and repeatable.
Method
Xamfrà fixes eight principles shared by every view and study: counted criteria under Kleene's three-valued logic, unknown ≠ no ≠ zero, whole census sections, a building's colour as context, a provenance and licence manifest per dataset, published sensitivity, local AI with finite plans and a work area independent of the camera. Eleven method families adapt international references to the AMB on one shared pipeline: source → staging → validation → manifest → view or study → print.
Results
The methods paper (v1.0) describes 11 families and, for the AMB, 65 activity poles, 1,626 transformation units (191 with ≥ 4 of 6 opportunity criteria, only 18 with no risk signal) and 25 % of pending homes within a 600 m walk of a well-served station, against 60 % of existing ones. Back-tests of the housing pace miss by 26 to 63 % when the cycle turns.
Implications
Every study in the section declares a named method that describes only what the code does; the principle × study matrix says where each principle is central, partial or not applicable. Where other tools give a score, Xamfrà gives the list of conditions that would justify it and leaves the weighting to the decision-maker.
  • Eight principles, not an index: criteria counted per family under three-valued logic; opportunity and risk in a matrix, never subtracted.
  • One pipeline for every dataset: staging, validation and a manifest with SHA-256, licences and a sensitivity table before publishing.
  • Every study has a named method and declares where it meets each principle; what is not known is counted and shown.

Keywordsmethod · composite indicators · three-valued logic · census sections · provenance · data manifest · sensitivity · reproducibility · AMB

References 14 · 13 literature
  1. OECD i European Commission Joint Research Centre (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD Publishing, París.
  2. Saisana, M., Saltelli, A. i Tarantola, S. (2005). Uncertainty and sensitivity analysis techniques as tools for the quality assessment of composite indicators. Journal of the Royal Statistical Society A 168(2), 307–323.
  3. Greco, S., Ishizaka, A., Tasiou, M. i Torrisi, G. (2019). On the methodological framework of composite indices: a review of the issues of weighting, aggregation, and robustness. Social Indicators Research 141, 61–94.
  4. Kleene, S. C. (1952). Introduction to Metamathematics. North-Holland, Amsterdam (§64, lògica trivalent forta).
  5. Little, R. J. A. i Rubin, D. B. (2019). Statistical Analysis with Missing Data, 3a ed. Wiley, Hoboken.
  6. Openshaw, S. (1984). The Modifiable Areal Unit Problem. Concepts and Techniques in Modern Geography (CATMOG) 38. Geo Books, Norwich. ISBN 0-86094-134-5.
  7. Robinson, W. S. (1950). Ecological correlations and the behavior of individuals. American Sociological Review 15(3), 351–357.
  8. Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3, 160018.
  9. Saltelli, A., Ratto, M., Andres, T. et al. (2008). Global Sensitivity Analysis: The Primer. Wiley, Chichester.
  10. Tufte, E. R. (2001). The Visual Display of Quantitative Information, 2a ed. Graphics Press, Cheshire (1a ed. 1983).
  11. Batty, M. (2013). The New Science of Cities. MIT Press, Cambridge (MA).
  12. Bettencourt, L. M. A., Lobo, J., Helbing, D., Kühnert, C. i West, G. B. (2007). Growth, innovation, scaling, and the pace of life in cities. PNAS 104(17), 7301–7306.
  13. Gras, R. i Burke, J. (2024). City Science: Performance Follows Form. Actar, Nova York / Barcelona.
  14. Blanco Quintanilla, H. (2026). Xamfrà: mètodes oberts per detectar i avaluar oportunitats urbanes a l'Àrea Metropolitana de Barcelona. Document metodològic, versió 1.0 (06-10-2026).

How to citeBlanco Quintanilla, H. (2026). “Xamfrà methods”. Xamfrà Working Paper No. 20. Xamfrà · Damos en el Blanco. https://xamfra.damosenelblanco.com/en/estudis#methods

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How we work

Own method: count, don’t weight

In the Cerdà Plan (1859), the corners of the Eixample blocks are cut into a chamfer —a xamfrà— so that from the crossing you can see further. We do the same with data: we cut the corner where arbitrary weights and invented values hide, so that decision-makers see the criterion, the limit and the source before the number.

  1. Counted criteriaHow many explicit criteria each place meets, and which. No score that blends different things with hand-picked weights.
  2. Unknown ≠ no ≠ zeroA gap is called a gap: in figures, tables and text. A zero is a measurement, not an absence.
  3. Sensitivity is a resultIf changing a threshold or a reference changes the conclusion, we publish that as part of the conclusion.
  4. Every figure, checkedThe numbers in the abstracts are compared automatically with the data file they come from. Literature frames the question; it never replaces a datum.

Every study shares the same circuit: official source → staging copy → validation of joins, counts and geometries → manifest with licence, period and coverage → view or study → printable report. No public file is replaced if a test fails.

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