Your browser doesn't support javascript.
loading
A gridded dataset on densities, real estate prices, transport, and land use inside 192 worldwide urban areas.
Lepetit, Quentin; Viguié, Vincent; Liotta, Charlotte.
Afiliação
  • Lepetit Q; Centre International de Recherche sur L'Environnement et le Développement (CIRED), 45bis, Av de La Belle Gabrielle, Nogent-sur-Marne F-94736, France.
  • Viguié V; Centre International de Recherche sur L'Environnement et le Développement (CIRED), 45bis, Av de La Belle Gabrielle, Nogent-sur-Marne F-94736, France.
  • Liotta C; Centre International de Recherche sur L'Environnement et le Développement (CIRED), 45bis, Av de La Belle Gabrielle, Nogent-sur-Marne F-94736, France.
Data Brief ; 47: 108962, 2023 Apr.
Article em En | MEDLINE | ID: mdl-36860414
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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Data Brief Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation Idioma: En Revista: Data Brief Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França