TL;DR
This study investigates how urban transportation systems influence social segregation by analyzing GPS mobility data and simulating policy impacts, revealing complex spatial and temporal segregation patterns linked to transportation infrastructure.
Contribution
It introduces a novel probabilistic mobility framework to connect transportation infrastructure with social interactions, highlighting the role of urban design and service patterns in segregation.
Findings
Segregation varies by time of day and urban structure.
Transportation infrastructure influences social encounter patterns.
Policy changes may have unforeseen effects on segregation.
Abstract
Mobility is a fundamental feature of human life, and through it our interactions with the world and people around us generate complex and consequential social phenomena. Social segregation, one such process, is increasingly acknowledged as a product of one's entire lived experience rather than mere residential location. Increasingly granular sources of data on human mobility have evidenced how segregation persists outside the home, in workplaces, cafes, and on the street. Yet there remains only a weak evidential link between the production of social segregation and urban policy. This study addresses this gap through an assessment of the role of the urban transportation systems in shaping social segregation. Using city-scale GPS mobility data and a novel probabilistic mobility framework, we establish social interactions at the scale of transportation infrastructure, by rail and bus…
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