《Measuring mobility inequalities of favela residents based on mobile phone data》
打印
- 作者
- André Leite Rodrigues;Mariana Giannotti;Matheus H.C. Cunha Barboza;Bianca Bianchi Alves
- 来源
- HABITAT INTERNATIONAL,Vol.110,P.102346
- 语言
- 英文
- 关键字
- Mobile phone data;Space-time analysis;Favelas;Urban mobility;Mobility inequalities
- 作者单位
- Polytechnic School of the University of São Paulo (Poli/USP), São Paulo, Brazil;Center for Metropolitan Studies (CEM), São Paulo, Brazil;World Bank Goup, Washington, USA;Institute of Geography and Spatial Planning of the University of Lisbon (IGOT/UL), Lisbon, Portugal;Center for the Study of the Politics and Economics of the Public Sector, Getulio Vargas Foundation (CEPESP/FGV), São Paulo, Brazil;Polytechnic School of the University of São Paulo (Poli/USP), São Paulo, Brazil;Center for Metropolitan Studies (CEM), São Paulo, Brazil;World Bank Goup, Washington, USA;Institute of Geography and Spatial Planning of the University of Lisbon (IGOT/UL), Lisbon, Portugal;Center for the Study of the Politics and Economics of the Public Sector, Getulio Vargas Foundation (CEPESP/FGV), São Paulo, Brazil
- 摘要
- This study investigated the mobility patterns of favela residents based on an analysis of their daily movements derived from high-frequency mobile phone data. Daily movements were measured considering the distance traveled at different times of day over the course of more than two months. Potential trip purposes for the most frequently visited locations were inferred based on land use data from property taxes. The high volume of geocoded data from mobile phones enabled the analysis during multiple days, also covering weekends, usually not considered in traditional transport surveys. The mobile phone data indicated that, on average, favela residents go farther from home during business days and perform less out of home activities during weekends when compared with non-favela residents. Further, distinct patterns for favelas and non-favela residents were mapped, considering different geographical areas, revealing space and time mobility inequalities.