Examining the non-linear effects of transit accessibility on daily trip duration: A focus on the low-income population

Sui Tao, Long Cheng, Sylvia He and Frank Witlox

Journal of Transport Geography, 2023, vol. 109, issue C

Abstract: Public transit provides an affordable and reliable transport option especially to the vulnerable groups. However, the relevance of transit accessibility to the daily mobility of different social strata has not been fully understood. It remains unclear to what extent the low-income may benefit from enhanced transit accessibility compared to others. Focusing on an Asian metropolis—Hong Kong, this study investigates the interplay between transit accessibility and daily trip duration with a particular focus on the low-income population via a machine-learning approach (Gradient Boosting Decision Tree). Our findings indicate that network accessibility by Mass Transit Rail (MTR) exerts a weaker effect on the duration of mandatory and discretionary trips of the low-income than for the non-low-income for these trips. This implies the presence of possible barriers of using MTR among the low-income. Moreover, marked threshold effects are identified for both MTR and bus accessibility especially in relation to the mandatory and maintenance trips of the low-income. Based on these findings, policy recommendations are proposed to help strengthen the linkage between improvement of transit accessibility and equitable mobility conditions across society.

Keywords: Public transit; Accessibility; Trip duration; Low-income; Machine-learning (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:109:y:2023:i:c:s0966692323000728

DOI: 10.1016/j.jtrangeo.2023.103600

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