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The public transport disadvantaged in a highly transit-oriented city: An analytical framework, key challenges and opportunities

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  • Wang, Hui
  • Loo, Becky P.Y.

Abstract

This paper proposes a holistic framework to identify public transport disadvantaged areas in terms of the level of services (LOS), area-based accessibility, and facility-based accessibility by employing the General Transit Feed Specification (GTFS) dataset. The framework considers the spatial and temporal levels of transit services, the spatial separation by urban functional areas, the availability of facilities based on the cumulative opportunity method, and the minimum time cost based on dual accessibility. A case study is performed in Hong Kong. The results show that the main problem for rural residents using public transport services lies in walking to transit stops/piers instead of long waits at public transport stops or infrequent services. The map of area-based accessibility shows great variations by urban functional areas. Despite being a highly transit-dependent city, we find huge disparities of accessibility to public facilities within Hong Kong and people living in some rural areas have difficulties in accessing basic services such as education, health care and shopping through public transport. Theoretically, this study reinforces the significance of place-based transport disadvantage and its intricate relationship with urban form. Empirically, it provides practical recommendations for public transport planning. The findings can direct transit agencies to re-plan and deploy services such as introducing demand-responsive transit services to better address the needs of people living in transport disadvantaged areas.

Suggested Citation

  • Wang, Hui & Loo, Becky P.Y., 2024. "The public transport disadvantaged in a highly transit-oriented city: An analytical framework, key challenges and opportunities," Journal of Transport Geography, Elsevier, vol. 120(C).
    • Handle: RePEc:eee:jotrge:v:120:y:2024:i:c:s0966692324001923
    DOI: 10.1016/j.jtrangeo.2024.103983
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