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A case study in spatial-temporal accessibility for a transit system

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  • Handley, John C.
  • Fu, Lina
  • Tupper, Laura L.

Abstract

We show the impact on transit network connectivity of a major network redesign using a comprehensive connectivity measure. This measure captures the quality of service impact – the difference between the actual accessibility and the designed accessibility as a function of space and time. The former is influenced by on-time performance and ability to make transfers. The measure is unique in that it incorporates both spatial and temporal aspects of the transportation network, so that the effects of the network geometry, transportation services schedules, and operational performance (in the form of service reliability / schedule adherence) are all appropriately reflected in this unified measure. We employ a spatial statistical model to tie aggregate ridership to average connectivity across transportation analysis zones. The statistically significant relationship indicates that, at least in aggregate, connectivity and demand are linked. Using spatio-temporal clustering, we show where, when, and how accessibility is impacted by a significant network redesign.

Suggested Citation

  • Handley, John C. & Fu, Lina & Tupper, Laura L., 2019. "A case study in spatial-temporal accessibility for a transit system," Journal of Transport Geography, Elsevier, vol. 75(C), pages 25-36.
    • Handle: RePEc:eee:jotrge:v:75:y:2019:i:c:p:25-36
    DOI: 10.1016/j.jtrangeo.2019.01.005
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Zhang, Lin & Xu, Min & Wang, Shuaian, 2023. "Quantifying bus route service disruptions under interdependent cascading failures of a multimodal public transit system based on an improved coupled map lattice model," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Shi, Yuji & Blainey, Simon & Sun, Chao & Jing, Peng, 2020. "A literature review on accessibility using bibliometric analysis techniques," Journal of Transport Geography, Elsevier, vol. 87(C).
    3. Chenxi Li & Xing Gao & Bao-Jie He & Jingyao Wu & Kening Wu, 2019. "Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 11(5), pages 1-23, March.
    4. Jinjun Tang & Fan Gao & Fang Liu & Wenhui Zhang & Yong Qi, 2019. "Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM," Sustainability, MDPI, vol. 11(19), pages 1-19, October.
    5. Nicholas S Caros & Anson F Stewart & John Attanucci, 2023. "An open-source program for spatial decomposition of bus transit networks," Environment and Planning B, , vol. 50(5), pages 1394-1401, June.
    6. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.

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