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Evaluating spatial accessibility to healthcare services under travel time uncertainty: A reliability-based floating catchment area approach

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  • Chen, Bi Yu
  • Cheng, Xue-Ping
  • Kwan, Mei-Po
  • Schwanen, Tim

Abstract

Most existing healthcare accessibility studies ignore the travel time uncertainty that are commonly encountered in road networks. This study aims to examine the impacts of travel time uncertainty on healthcare accessibility. A reliability-based two-step floating catchment area (2SFCA) method is proposed to evaluate healthcare accessibility under travel time uncertainty. The proposed measure generalizes the conventional 2SFCA measure by explicitly considering individuals' reliability constraints when scheduling visits to healthcare facilities in the face of travel time uncertainty. The proposed measure is further used to investigate travel time uncertainty impacts in a comprehensive case study. A big dataset of taxi trajectories is collected in the case study to extract dynamic information on travel time distributions. The results of the case study highlight the significant but heterogeneous impacts of travel time uncertainty on healthcare accessibility for various parts of the city at different times of the day. They also have several methodological implications for the evaluation of healthcare accessibility under travel time uncertainty.

Suggested Citation

  • Chen, Bi Yu & Cheng, Xue-Ping & Kwan, Mei-Po & Schwanen, Tim, 2020. "Evaluating spatial accessibility to healthcare services under travel time uncertainty: A reliability-based floating catchment area approach," Journal of Transport Geography, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:jotrge:v:87:y:2020:i:c:s0966692319310440
    DOI: 10.1016/j.jtrangeo.2020.102794
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    References listed on IDEAS

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    Cited by:

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    2. Xinyue Zhang & Xiaolu Gao & Danxian Wu & Zening Xu & Hongjie Wang, 2021. "The Role of Big Data in Aging and Older People’s Health Research: A Systematic Review and Ecological Framework," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    3. Chen, Yue & Jia, Shunping & Xu, Qi & Xiao, Zhongsheng & Zhang, Shujing, 2023. "Measuring the dynamic accessibility to COVID-19 testing sites in the 15-min city: A focus on service congestion and mobility difference," Journal of Transport Geography, Elsevier, vol. 111(C).
    4. Tao, Zhuolin & Zhao, Min, 2023. "Planning for equal transit-based accessibility of healthcare facilities: A case study of Shenzhen, China," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    5. Gu, Zongni & Luo, Xiaolong & Tang, Mi & Liu, Xiaoman, 2023. "Does the edge effect impact the healthcare equity? An examination of the equity in hospitals accessibility in the edge city in multi-scale," Journal of Transport Geography, Elsevier, vol. 106(C).
    6. Liu, Jie & He, Mingwei & Schonfeld, Paul M. & Kato, Hironori & Li, Anjun, 2022. "Measures of accessibility incorporating time reliability for an urban rail transit network: A case study in Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 471-489.
    7. Li, Chuanyao & Wang, Junren, 2022. "A hierarchical two-step floating catchment area analysis for high-tier hospital accessibility in an urban agglomeration region," Journal of Transport Geography, Elsevier, vol. 102(C).

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