Liu, J. et al. Water scarcity assessments in the past, present, and future. Earth’s Futur. 5, 545–559 (2017).
Adams, E. A., Stoler, J. & Adams, Y. Water insecurity and urban poverty in the Global South: implications for health and human biology. Am. J. Hum. Biol. 32, e23368 (2020).
Ambel, A. A. et al. Addressing gaps in data on drinking water quality through data integration and machine learning: evidence from Ethiopia. Nat. Part. J. Clean Water 6, 63 (2023).
Pumain, D. & Guerois, M. Scaling laws in urban systems. Working Papers 1–26 (Santa Fe Institute, 2004).
He, C. et al. Future global urban water scarcity and potential solutions. Nat. Commun. 12, 4667 (2021).
World Health Organization et al. Progress on Household Drinking Water, Sanitation and Hygiene 2000–2020: Five Years into the SDGs (WHO, 2021).
McDonald, R. I. et al. Urban growth, climate change, and freshwater availability. Proc. Natl Acad. Sci. USA 108, 6312–6317 (2011).
Bischoff-Mattson, Z. et al. Shape of a water crisis: practitioner perspectives on urban water scarcity and ‘Day Zero’ in South Africa. Water Policy 22, 193–210 (2020).
Aboelnga, H. T., El-Naser, H., Ribbe, L. & Frechen, F.-B. Assessing water security in water-scarce cities: applying the integrated urban water security index (IUWSI) in Madaba, Jordan. Water 12, 1299 (2020).
March, H. & Saurí, D. The suburbanization of water scarcity in the Barcelona metropolitan region: sociodemographic and urban changes influencing domestic water consumption. Prof. Geogr. 62, 32–45 (2010).
Haddeland, I. et al. Global water resources affected by human interventions and climate change. Proc. Natl Acad. Sci. USA 111, 3251–3256 (2014).
Zhang, F. & Borja-Vega, C. Water for Shared Prosperity (World Bank, 2024).
Flörke, M., Schneider, C. & McDonald, R. I. Water competition between cities and agriculture driven by climate change and urban growth. Nat. Sustain. 1, 51–58 (2018).
Gómez, J. A., Patiño, J. E., Duque, J. C. & Passos, S. Spatiotemporal modeling of urban growth using machine learning. Remote Sens. 12, 109 (2019).
Prieto-Curiel, R., Patino, J. E. & Anderson, B. Scaling of the morphology of African cities. Proc. Natl Acad. Sci. USA 120, e2214254120 (2023).
Angel, S., Franco, S. A., Liu, Y. & Blei, A. M. The shape compactness of urban footprints. Prog. Plann. 139, 100429 (2020).
Anderson, B., Prieto-Curiel, R. & Patiño-Quinchía, J. E. City Shapes and Climate Change in Africa (West African Papers, 2023).
Balaian, S. K., Sanders, B. F. & Abdolhosseini, Q. M. J. How urban form impacts flooding. Nat. Commun. 15, 6911 (2024).
Ki, J. & Yoon, D. K. The impact of urban form on residential electricity consumption: panel data analyses of South Korean urban municipalities. Energy Policy 186, 113986 (2024).
Depersin, J. & Barthelemy, M. From global scaling to the dynamics of individual cities. Proc. Natl Acad. Sci. USA 115, 2317–2322 (2018).
Tusting, L. S. et al. Mapping changes in housing in Sub-Saharan Africa from 2000 to 2015. Nature 568, 391–394 (2019).
Sirko, W. et al. Continental-scale building detection from high resolution satellite imagery. Preprint at https://arxiv.org/abs/2107.12283 (2021).
Muth, R. F. The spatialstructure of the housing market. In Papers of the Regional Science Association. Vol. 7, 207–220 (Springer, 1961).
Nirandjan, S., Koks, E. E., Ward, P. J. & Aerts, J. C. J. H. A spatially-explicit harmonized global dataset of critical infrastructure. Sci. Data 9, 150 (2022).
Moriconi-Ebrard, F., Harre, D. & Heinrigs, P. Urbanisation Dynamics in West Africa 1950–2010 (OECD, 2015).
Lemoy, R. & Caruso, G. Radial analysis and scaling of urban land use. Sci. Rep. 11, 22044 (2021).
Burgess, E. W. in The Trend of Population 212–220 (American Sociological Society, 1925).
Alonso, W. A theory of the urban land market. Pap. Reg. Sci. 6, 149–157 (1960).
Iungman, T. et al. The impact of urban configuration types on urban heat islands, air pollution, CO2 emissions, and mortality in Europe: a data science approach. Lancet Planet. Health 8, e489–e505 (2024).
Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci. Data 12, 178 (2025).
Chi, G., Fang, H., Chatterjee, S. & Blumenstock, J. E. Microestimates of wealth for all low-and middle-income countries. Proc. Natl Acad. Sci. USA 119, e2113658119 (2022).
Joint Monitoring Programme for Water Supply, Sanitation and Hygiene (JMP) (World Health Organization and UNICEF, 2023).
Sugiyama, T., Kubota, A., Sugiyama, M., Cole, R. & Owen, N. Distances walked to and from local destinations: age-related variations and implications for determining buffer sizes. J. Transport Health 15, 100621 (2019).
Coury, M., Kitagawa, T., Shertzer, A. & Turner, M. The Value of Piped Water and Sewers: Evidence from 19th Century Chicago. Working paper, wp 25-07 (Federal Reserve Bank of Philadelphia, 2025).
Spatial Data Repository, the Demographic and Health Surveys Program (ICF International, 2023).
2018 Revision of World Urbanization Prospects (United Nations, Department of Economic and Social Affairs, Population Division, 2018).
Pierce, G. Why is basic service access worse in slums? A synthesis of obstacles. Dev. Pract. 27, 288–300 (2017).
Guidelines for user fees and cost recovery for urban, networked water and sanitation delivery. African Development Bank https://www.afdb.org/fileadmin/uploads/afdb/Documents/Project-and-Operations/2010_11 (accessed 28 April 2025).
Abramovsky, L. F. et al. Study of the Distributional Performance of Piped Water Consumption Subsidies in 10 Developing Countries (World Bank Policy Research Working Paper, 2020).
Utility Tariffs Dataset (IBNET tariffs db) (International Benchmarking Network for Water and Sanitation Utilities, 2023).
Rodríguez-Tapia, L., Revollo-Fernández, D. A. & Morales-Novelo, J. A. Household’s perception of water quality and willingness to pay for clean water in Mexico City. Economies 5, 12 (2017).
Ravenscroft, P. & Lytton, L. Seeing the Invisible (World Bank, 2022).
World Bank. High and Dry: Climate Change, Water, and the Economy (World Bank, 2016).
Rusca, M., Alda-Vidal, C., Hordijk, M. & Kral, N. Bathing without water, and other stories of everyday hygiene practices and risk perception in urban low-income areas: the case of Lilongwe, Malawi. Environ. Urban. 29, 533–550 (2017).
Hasan, S. M. et al. Healthcare systems strengthening in smaller cities in Bangladesh: geospatial insights from the municipality of Dinajpur. Health Serv. Insights 13, 1178632920951586 (2020).
Hoornweg, D. & Pope, K. Population predictions for the world’s largest cities in the 21st century. Environ. Urban. 29, 195–216 (2017).
Rathore, L. S., Kumar, M., Hanasaki, N., Mekonnen, M. M. & Raghav, P. Water scarcity challenges across urban regions with expanding irrigation. Environ. Res. Lett. 19, 014065 (2024).
Germain Abwe, F. & Daniel, K. Local public markets infrastructure and urban food systems in African small cities: insights from Arusha, Tanzania. Cities Health 5, S127–S130 (2021).
Guan, C. H. et al. Evaluating the impact of water protection policy on urban growth: a case study of Jiaxing. Environ. Plann. B 50, 1000–1019 (2023).
Behnisch, M., Krüger, T. & Jaeger, JochenA. G. Rapid rise in urban sprawl: global hotspots and trends since 1990. PLoS Sustain. Transform. 1, e0000034 (2022).
Islam, S. M. F. & Karim, Z. in Desalination Challenges and Opportunities (eds Farahani, M. H. D. A. et al.) Ch. 4 (OECD, 2019).
Hanoon, S. K., Abdullah, A. F., Shafri, H. Z. M. & Wayayok, A. Using scenario modelling for adapting to urbanization and water scarcity: towards a sustainable city in semi-arid areas. Period. Eng. Nat. Sci. 10, 518 (2022).
Athey, S. Beyond prediction: using big data for policy problems. Science 355, 483–485 (2017).
OpenStreetMap contributors. Planet dump retrieved from https://planet.osm.org. Open Street Map https://www.openstreetmap.org (2021).
Esch, T. et al. World Settlement Footprint 3D-a first three-dimensional survey of the global building stock. Remote Sens. Environ. 270, 112877 (2022).
NASADEM Merged DEM Global 1 Arc Second V001 (NASA JPL, 2020).
R: A Language and Environment for Statistical Computing (R Core Team, 2018).
Arcaute, E. et al. Constructing cities, deconstructing scaling laws. J. R. Soc. Interface 12, 20140745 (2015).
Rozenfeld, H. D. et al. Laws of population growth. Proc. Natl Acad. Sci. USA 105, 18702–18707 (2008).
Cottineau, C., Hatna, E., Arcaute, E. & Batty, M. Diverse cities or the systematic paradox of urban scaling laws. Comput. Environ. Urban Syst. 63, 80–94 (2017).
Rozenblat, C. Extending the concept of city for delineating large urban regions (LUR) for the cities of the world. Cybergeo Eur. J. Geogr. 954, (2020).
Lall, S., Lebrand, M., Park, H., Sturm, D. & Venables, A. Pancakes to pyramids. World Bank Group (2021).
Batik, T. et al. What is the best shape of a city. Preprint at https://arxiv.org/abs/2507.00100 (2025).
Sartirano, D. et al. Strengths and limitations of relative wealth indices derived from big data in Indonesia. Front. Big Data 6, 10 (2023).
Gridded Population of the World, Version 4 (gpwv4): Population Count (Center for International Earth Science Information Network CIESIN, 2018).
Niva, V. et al. World’s human migration patterns in 2000–2019 unveiled by high-resolution data. Nat. Hum. Behav. 1, 1–15 (2023).
Prieto-Curiel, R., Heo, I., Schumann, A. & Heinrigs, P. Constructing a simplified interurban road network based on crowdsourced geodata. MethodsX 9, 101845 (2022).
Hewko, J., Smoyer-Tomic, K. E. & Hodgson, M. J. Measuring neighbourhood spatial accessibility to urban amenities: does aggregation error matter? Environ. Plann. A 34, 1185–1206 (2002).
Aqueduct Global Maps 4.0: Baseline water stress. World Resources Institute https://www.wri.org/data/aqueduct-global-maps-40-data (accessed July 2025).
Fick, S. E. & Hijmans, R. J. Worldclim 2: new 1-km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017).