Urban Segregation on multilayered transport networks: a random walk approach
Mateo Neira, Carlos Molinero, Stephen Marshall, Elsa Arcaute

TL;DR
This paper introduces a new method using multilayered network models and random walks to analyze socio-spatial segregation in cities, accounting for transportation constraints and evaluating infrastructure impacts on social integration.
Contribution
It presents a novel random walk-based segregation index that incorporates temporal mobility constraints and applies it to real city data for urban planning insights.
Findings
The index varies with the temporal parameter, reflecting different levels of social mixing.
Application to Cuenca demonstrates the method's usefulness for transportation policy.
The approach links transport network structure to social interaction opportunities.
Abstract
We present a novel method for analysing socio-spatial segregation in cities by considering constraints imposed by transportation networks. Using a multilayered network approach, we model the interaction probabilities of socio-economic groups with random walks and L\'evy flights. This method allows for evaluation of new transport infrastructure's impact on segregation while quantifying each network's contribution to interaction opportunities. The proposed random walk segregation index measures the probability of individuals encountering diverse social groups based on their available means of transit via random walks. The index incorporates temporal constraints in urban mobility with a parameter, , of the probability of the random walk continuing at each time step. By applying this to a toy model and conducting a sensitivity analysis, we explore how the index changes…
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Taxonomy
TopicsUrban Transport and Accessibility · Transportation Planning and Optimization · Urban Design and Spatial Analysis
