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People’s use of the rail transit system varies over space. Previous literature suggests there is a social equity dimension in the distribution of benefits from new urban transit systems, but how this varies spatially is poorly evidenced. The research aims to examine the spatial differences in the use of rail transit and associated transport equity. Using a case study of Chongqing, a geographically weighted regression (GWR) model is used to reveal the spatial variation in parameter estimates, complementing the traditional multivariate global model. The analysis demonstrates the effect of rail transit in facilitating people’s travel and mitigating transport-related social inequity, including for those with mobility disadvantages and living in areas with poor access to public transport. The results emphasise the necessity of associated development strategies and transport policies in favour of socially disadvantaged groups, such as low fare levels. Implications for planning interventions are proposed based on the model results.

Exploring the spatial differences in travel mode choice of rail transit in Chongqing