A gridded dataset on densities, real estate prices, transport, and land use inside 192 worldwide urban areas

Quentin Lepetit, Vincent Viguié () and Charlotte Liotta
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Quentin Lepetit: CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique
Vincent Viguié: CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique
Charlotte Liotta: CIRED - Centre International de Recherche sur l'Environnement et le Développement - Cirad - Centre de Coopération Internationale en Recherche Agronomique pour le Développement - EHESS - École des hautes études en sciences sociales - AgroParisTech - ENPC - École nationale des ponts et chaussées - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique, TUB - Technical University of Berlin / Technische Universität Berlin

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Abstract: This work presents a gridded dataset on real estate and transportation in 192 worldwide urban areas, obtained from the Google Maps API and the web scraping of real estate websites. For each city of the sample, these data have been associated with the corresponding population density and land cover data, extracted from the GHS POP and ESA CCI data respectively, and aggregated on a 1 km resolution grid, allowing for an integrated analysis. This dataset is the first to include spatialized real estate and transportation data in a large sample of cities covering 800 million people in both developed and developing countries. These data can be used as inputs for urban modeling purposes, transport modeling, or between-city comparisons in urban forms and transportation networks, and allow further analyses on e.g. urban sprawl, access to transportation, or equity in housing prices and access to transportation.

Keywords: Cities; Urban form; Land cover; Urban economics; Real estate; Transportation (search for similar items in EconPapers)
Date: 2023-02-09
New Economics Papers: this item is included in nep-inv, nep-tre and nep-ure
Note: View the original document on HAL open archive server: https://hal.science/hal-04433873v1
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Citations: View citations in EconPapers (2)

Published in Data in Brief, 2023, 47, pp.108962. ⟨10.1016/j.dib.2023.108962⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04433873

DOI: 10.1016/j.dib.2023.108962

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