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Estimating light-rail transit peak-hour boarding based on accessibility at station and route levels in Wuhan, China

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  • Zhengdong Huang
  • Ming Zhang
  • Xuejun Liu

Abstract

Promoting public transit is a well-recognized policy for sustainable urban transport development. Transit demand analysis proves to be a challenging task in fast growing cities, partially due to the lack of reliable data and applicable techniques for rapidly changing urban contexts. This paper presents an effort to meet the challenge by developing a framework to estimate peak-hour boarding at light-rail transit (LRT) stations. The core part of the framework is an accessibility-weighted ridership model that multiplies potential demand by integral LRT accessibility. Potential demand around LRT stations is generated by using a distance-decay function. The integral LRT accessibility is a route-level factor that indicates the degree of attractiveness to LRT travel for stations in an LRT corridor. A case study in Wuhan, China, shows that the proposed method produces results useful for improving transit demand analysis.

Suggested Citation

  • Zhengdong Huang & Ming Zhang & Xuejun Liu, 2017. "Estimating light-rail transit peak-hour boarding based on accessibility at station and route levels in Wuhan, China," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(5), pages 624-639, July.
    • Handle: RePEc:taf:transp:v:40:y:2017:i:5:p:624-639
    DOI: 10.1080/03081060.2017.1314497
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    Cited by:

    1. Diogo Da Fonseca-Soares & Josicleda Domiciano Galvinicio & Sayonara Andrade Eliziário & Angel Fermin Ramos-Ridao, 2022. "A Bibliometric Analysis of the Trends and Characteristics of Railway Research," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
    2. Du, Qiang & Zhou, Yuqing & Huang, Youdan & Wang, Yalei & Bai, Libiao, 2022. "Spatiotemporal exploration of the non-linear impacts of accessibility on metro ridership," Journal of Transport Geography, Elsevier, vol. 102(C).

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