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An Enhanced Variable Two-Step Floating Catchment Area Method for Measuring Spatial Accessibility to Residential Care Facilities in Nanjing

Author

Listed:
  • Jianhua Ni

    (Department of Geographic Information Science, Nanjing University, Nanjing 210093, China
    Department of Resources Environment and Tourism Management, West Anhui University, Anhui Luan 237012, China)

  • Jinyin Wang

    (Department of Geographic Information Science, Nanjing University, Nanjing 210093, China)

  • Yikang Rui

    (Department of Geographic Information Science, Nanjing University, Nanjing 210093, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210093, China)

  • Tianlu Qian

    (Department of Geographic Information Science, Nanjing University, Nanjing 210093, China)

  • Jiechen Wang

    (Department of Geographic Information Science, Nanjing University, Nanjing 210093, China
    Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210093, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

Abstract

Civil administration departments require reliable measures of accessibility so that residential care facility shortage areas can be accurately identified. Building on previous research, this paper proposes an enhanced variable two-step floating catchment area (EV2SFCA) method that determines facility catchment sizes by dynamically summing the population around the facility until the facility-to-population ratio (FPR) is less than the FPR threshold (FPRT). To minimize the errors from the supply and demand catchments being mismatched, this paper proposes that the facility and population catchment areas must both contain the other location in calculating accessibility. A case study evaluating spatial accessibility to residential care facilities in Nanjing demonstrates that the proposed method is effective in accurately determining catchment sizes and identifying details in the variation of spatial accessibility. The proposed method can be easily applied to assess other public healthcare facilities, and can provide guidance to government departments on issues of spatial planning and identification of shortage and excess areas.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:11:p:14490-14504:d:58796
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    Citations

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    Cited by:

    1. Jingya Luan & Yuhong Tian & Chi Yung Jim & Xu Liu & Mengxuan Yan & Lizhu Wu, 2023. "Assessing Spatial Accessibility of Community Hospitals for the Elderly in Beijing, China," IJERPH, MDPI, vol. 20(1), pages 1-19, January.
    2. 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.
    3. Jiawei Zhang & Peien Han & Yan Sun & Jingyu Zhao & Li Yang, 2021. "Assessing Spatial Accessibility to Primary Health Care Services in Beijing, China," IJERPH, MDPI, vol. 18(24), pages 1-13, December.
    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.
    5. Parisa Bozorgi & Jan M. Eberth & Jeannie P. Eidson & Dwayne E. Porter, 2021. "Facility Attractiveness and Social Vulnerability Impacts on Spatial Accessibility to Opioid Treatment Programs in South Carolina," IJERPH, MDPI, vol. 18(8), pages 1-13, April.
    6. Jinling Sui & Guoqin Zhang & Tao Lin & Nicholas A. S. Hamm & Chunlin Li & Xian Wu & Kaiqun Hu, 2023. "Quantitative Evaluation of Spatial Accessibility of Various Urban Medical Services Based on Big Data of Outpatient Appointments," IJERPH, MDPI, vol. 20(6), pages 1-18, March.
    7. Jinhui Ma & Haijing Huang & Daibin Liu, 2023. "Influences of Spatial Accessibility and Service Capacity on the Utilization of Elderly-Care Facilities: A Case Study of the Main Urban Area of Chongqing," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
    8. Langjiao Li & Qingyun Du & Fu Ren & Xiangyuan Ma, 2019. "Assessing Spatial Accessibility to Hierarchical Urban Parks by Multi-Types of Travel Distance in Shenzhen, China," IJERPH, MDPI, vol. 16(6), pages 1-23, March.
    9. Jianhua Ni & Tianlu Qian & Changbai Xi & Yikang Rui & Jiechen Wang, 2016. "Spatial Distribution Characteristics of Healthcare Facilities in Nanjing: Network Point Pattern Analysis and Correlation Analysis," IJERPH, MDPI, vol. 13(8), pages 1-13, August.

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