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Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach

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  • Xiaofang Pan

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China
    School of Geographic Sciences, Xinyang Normal University, 237 Nanhu Road, Xinyang 464000, China)

  • Mei-Po Kwan

    (Department of Geography and Geographic Information Science, University of Illinois at Urbana-Champaign, Natural History Building, MC-150, 1301 W Green Street, Urbana, IL 61801, USA
    Department of Human Geography and Spatial Planning, Utrecht University, P.O. Box 80125, 3508 TC Utrecht, The Netherlands)

  • Lin Yang

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China
    State Key Laboratory of Geo-information Engineering, Xi’an 710054, China)

  • Shunping Zhou

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China)

  • Zejun Zuo

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China)

  • Bo Wan

    (Faculty of Information Engineering, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China)

Abstract

Accessibility is a major method for evaluating the distribution of service facilities and identifying areas in shortage of service. Traditional accessibility methods, however, are largely model-based and do not consider the actual utilization of services, which may lead to results that are different from those obtained when people’s actual behaviors are taken into account. Based on taxi GPS trajectory data, this paper proposed a novel integrated catchment area (ICA) that integrates actual human travel behavior to evaluate the accessibility to healthcare facilities in Shenzhen, China, using the enhanced two-step floating catchment area (E2SFCA) method. This method is called the E2SFCA-ICA method. First, access probability is proposed to depict the probability of visiting a healthcare facility. Then, integrated access probability (IAP), which integrates model-based access probability (MAP) and data-based access probability (DAP), is presented. Under the constraint of IAP, ICA is generated and divided into distinct subzones. Finally, the ICA and subzones are incorporated into the E2SFCA method to evaluate the accessibility of the top-tier hospitals in Shenzhen, China. The results show that the ICA not only reduces the differences between model-based catchment areas and data-based catchment areas, but also distinguishes the core catchment area, stable catchment area, uncertain catchment area and remote catchment area of healthcare facilities. The study also found that the accessibility of Shenzhen’s top-tier hospitals obtained with traditional catchment areas tends to be overestimated and more unequally distributed in space when compared to the accessibility obtained with integrated catchment areas.

Suggested Citation

  • Xiaofang Pan & Mei-Po Kwan & Lin Yang & Shunping Zhou & Zejun Zuo & Bo Wan, 2018. "Evaluating the Accessibility of Healthcare Facilities Using an Integrated Catchment Area Approach," IJERPH, MDPI, vol. 15(9), pages 1-21, September.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:9:p:2051-:d:170808
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    References listed on IDEAS

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    Cited by:

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    2. Yuma Morisaki & Makoto Fujiu & Junichi Takayama & Masahiko Sagae & Kohei Hirako, 2023. "Quantitative Evaluation of Difficulty in Visiting Hospitals for Elderly Patients in Depopulated Area in Japan: Using National Health Insurance Data," Sustainability, MDPI, vol. 15(21), pages 1-16, October.
    3. Fangye Du & Jiaoe Wang & Haitao Jin, 2021. "Whether Public Hospital Reform Affects the Hospital Choices of Patients in Urban Areas: New Evidence from Smart Card Data," IJERPH, MDPI, vol. 18(15), pages 1-14, July.
    4. Wei, Zhongyu & Bai, Jianjun & Feng, Ruitao, 2022. "Evaluating the spatial accessibility of medical resources taking into account the residents' choice behavior of outpatient and inpatient medical treatment," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    5. Ana Louro & Nuno Marques da Costa & Eduarda Marques da Costa, 2021. "From Livable Communities to Livable Metropolis: Challenges for Urban Mobility in Lisbon Metropolitan Area (Portugal)," IJERPH, MDPI, vol. 18(7), pages 1-22, March.
    6. Rajat Verma & Mithun Debnath & Shagun Mittal & Satish V. Ukkusuri, 2024. "Towards a generalized accessibility measure for transportation equity and efficiency," Papers 2404.04985, arXiv.org.
    7. 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.
    8. Meihan Jin & Lu Liu & De Tong & Yongxi Gong & Yu Liu, 2019. "Evaluating the Spatial Accessibility and Distribution Balance of Multi-Level Medical Service Facilities," IJERPH, MDPI, vol. 16(7), pages 1-19, March.
    9. Fangye Du & Jiaoe Wang & Yu Liu & Zihao Zhou & Haitao Jin, 2022. "Equity in Health-Seeking Behavior of Groups Using Different Transportations," IJERPH, MDPI, vol. 19(5), pages 1-16, February.
    10. Dan Zhao & Liu Shao & Jianwei Li & Lina Shen, 2024. "Spatial-Performance Evaluation of Primary Health Care Facilities: Evidence from Xi’an, China," Sustainability, MDPI, vol. 16(7), pages 1-14, March.

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