Using human mobility data to quantify experienced urban inequalities
Name
Using human mobility data to quantify experienced urban inequalities.pdf
Description
Published version
Size
15.83 MB
Format
Adobe PDF
Checksum (MD5)
5b692b7a0e83151624defc475c49ef82
Author(s)
Xu, Fengli
Wang, Qi
Moro, Esteban
Chen, Lin
Salazar Miranda, Arianna
González, Marta C
Tizzoni, Michele
Song, Chaoming
Ratti, Carlo
Bettencourt, Luis
Date Issued
2025
Journal
Nature Human Behaviour
Publisher
Springer Science and Business Media LLC
Version
Author's final manuscript
Abstract
The lived experience of urban life is shaped by personal mobility through dynamic relationships and resources, marked not only by access and opportunity, but also inequality and segregation. The recent availability of fine-grained mobility data and context attributes ranging from venue type to demographic mixture offer researchers a deeper understanding of experienced inequalities at scale, and pose many new questions. Here we review emerging uses of urban mobility behaviour data, and propose an analytic framework to represent mobility patterns as a temporal bipartite network between people and places. As this network reconfigures over time, analysts can track experienced inequality along three critical dimensions: social mixing with others from specific demographic backgrounds, access to different types of facilities, and spontaneous adaptation to unexpected events, such as epidemics, conflicts or disasters. This framework traces the dynamic, lived experiences of urban inequality and complements prior work on static inequalities experience at home and work.
Terms of Use
Creative Commons Attribution-NonCommercial-ShareAlike
Persistent DSpace Link
DOI of Published Version
10.1038/s41562-024-02079-0
