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Use of an E2SFCA Method to Measure and Analyse Spatial Accessibility to Medical Services for Elderly People in Wuhan, China

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  • Jing Luo

    (Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    These authors contributed equally to this work.)

  • Guangping Chen

    (Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    These authors contributed equally to this work.)

  • Chang Li

    (Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China)

  • Bingyan Xia

    (Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China)

  • Xuan Sun

    (Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China)

  • Siyun Chen

    (Key Laboratory for Geographical Process Analysis and Simulation, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China
    The College of Urban and Environmental Sciences, Central China Normal University, No.152 Luoyu Road, Wuhan 430079, China)

Abstract

Current studies on measuring the accessibility of medical services for the elderly (AMSE) have ignored the potential competition among supply and demand and the distance decay laws. Hence, an enhanced two-step floating catchment area (E2SFCA) method (i.e., the road network-based Gaussian 2SFCA method) is proposed to calculate AMSE scores after considering different types of roads, including urban rail transit, freeways, major roads, minor roads and rural roads. Based on the first National Geographic Conditions Monitoring (NGCM) data, this study took Wuhan, China, as a case study and assessed the variation of AMSE using two different threshold times (i.e., Platinum Ten and Golden Hour). Next, global (i.e., sensitivity and hot spot analysis) and local analyses (i.e., three regional area internal comparisons) of AMSE scores were conducted to accurately identify details in the variation of spatial accessibility. It was observed that the E2SFCA method could be easily applied to measure AMSE. The results showed that 48.63% of the elderly population in Wuhan had a higher or the highest level of medical accessibility in “Platinum Ten”, while 72.97% had a higher or the highest level in the “Golden Hour”, and hot spots of AMSE scores were located in central urban areas and presented an enclosure structure using both threshold travel times, which could provide guidance to governments or planners on issues of spatial planning and identifying elderly medical services shortage areas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1503-:d:158307
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    References listed on IDEAS

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    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. Shirui Liu & Yaochen Qin & Yanan Xu, 2019. "Inequality and Influencing Factors of Spatial Accessibility of Medical Facilities in Rural Areas of China: A Case Study of Henan Province," IJERPH, MDPI, vol. 16(10), pages 1-16, May.
    9. Lei Zhu & Shuang Zhong & Wei Tu & Jing Zheng & Shenjing He & Junzhe Bao & Cunrui Huang, 2019. "Assessing Spatial Accessibility to Medical Resources at the Community Level in Shenzhen, China," IJERPH, MDPI, vol. 16(2), pages 1-15, January.
    10. Meijie Chen & Yumin Chen & Xiaoguang Wang & Huangyuan Tan & Fenglan Luo, 2019. "Spatial Difference of Transit-Based Accessibility to Hospitals by Regions Using Spatially Adjusted ANOVA," IJERPH, MDPI, vol. 16(11), pages 1-20, May.
    11. Ren, Jingqiu & Earl, Ryan & Amaral, Ernesto F. L., 2022. "Novel Healthcare Model, Continuation of Inequality: Exploring the Role of Micro Hospitals in Texas Healthcare Access Through Demographic Spatial Modeling," OSF Preprints ev6r2, Center for Open Science.
    12. 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.
    13. Bangyu Liu & Ning Qiu & Tianjie Zhang, 2023. "Accessibility of Elderly Care Facilities Based on Social Stratification: A Case Study in Tianjin, China," Sustainability, MDPI, vol. 15(2), pages 1-12, January.
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