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An Improved Healthcare Accessibility Measure Considering the Temporal Dimension and Population Demand of Different Ages

Author

Listed:
  • Lan Ma

    (School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China)

  • Nianxue Luo

    (School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China)

  • Taili Wan

    (School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China)

  • Chunchun Hu

    (School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China)

  • Mingjun Peng

    (Wuhan Land Resources and Planning Bureau, Wuhan 430014, China)

Abstract

Healthcare accessibility has become an issue of social equity. An accurate estimation of existing healthcare accessibility is vital to plan and allocate health resources. Healthcare capacity, population demand, and geographic impedance are three essential factors to measure spatial accessibility. Additionally, geographic impedance is usually represented with a function of travel time. In this paper, the three-step floating catchment area (3SFCA) method is improved from the perspectives of the temporal dimension and population demand. Specifically, the travel time from the population location to the service site is precisely calculated by introducing real-time traffic conditions instead of utilizing empirical speed in previous studies. Additionally, with the utilization of real-time traffic, a dynamic result of healthcare accessibility is derived during different time periods. In addition, since the medical needs of the elderly are higher than that of the young, a demand weight index of demand is introduced to adjust the population demand. A case study of healthcare accessibility in Wuhan shows that the proposed method is effective to measure healthcare accessibility during different time periods. The spatial accessibility disparities of communities and crowdedness of hospitals are identified as an important reference for the balance between the supply and demand of medical resources.

Suggested Citation

  • Lan Ma & Nianxue Luo & Taili Wan & Chunchun Hu & Mingjun Peng, 2018. "An Improved Healthcare Accessibility Measure Considering the Temporal Dimension and Population Demand of Different Ages," IJERPH, MDPI, vol. 15(11), pages 1-19, October.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:11:p:2421-:d:179538
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    References listed on IDEAS

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    1. Jianhua Ni & Jinyin Wang & Yikang Rui & Tianlu Qian & Jiechen Wang, 2015. "An Enhanced Variable Two-Step Floating Catchment Area Method for Measuring Spatial Accessibility to Residential Care Facilities in Nanjing," IJERPH, MDPI, vol. 12(11), pages 1-15, November.
    2. David L. Huff, 1963. "A Probabilistic Analysis of Shopping Center Trade Areas," Land Economics, University of Wisconsin Press, vol. 39(1), pages 81-90.
    3. Jing Luo & Guangping Chen & Chang Li & Bingyan Xia & Xuan Sun & Siyun Chen, 2018. "Use of an E2SFCA Method to Measure and Analyse Spatial Accessibility to Medical Services for Elderly People in Wuhan, China," IJERPH, MDPI, vol. 15(7), pages 1-17, July.
    4. Khan, Abdullah A., 1992. "An integrated approach to measuring potential spatial access to health care services," Socio-Economic Planning Sciences, Elsevier, vol. 26(4), pages 275-287, October.
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    Cited by:

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    2. 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).
    3. Peng Zeng & Zongyao Sun & Yuqi Chen & Zhi Qiao & Liangwa Cai, 2021. "COVID-19: A Comparative Study of Population Aggregation Patterns in the Central Urban Area of Tianjin, China," IJERPH, MDPI, vol. 18(4), pages 1-15, February.
    4. Amritpal Kaur Khakh & Victoria Fast & Rizwan Shahid, 2019. "Spatial Accessibility to Primary Healthcare Services by Multimodal Means of Travel: Synthesis and Case Study in the City of Calgary," IJERPH, MDPI, vol. 16(2), pages 1-19, January.

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