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Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility

Author

Listed:
  • Wei Wang

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Zihao Zhou

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Jun Chen

    (School of Transportation, Southeast University, Nanjing 210096, China)

  • Wen Cheng

    (Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, School of Architecture, Harbin Institute of Technology, Harbin 150001, China)

  • Jian Chen

    (School of Transportation, Southeast University, Nanjing 210096, China)

Abstract

Urbanization has been a flourishing process in a wide range of developing countries. The planning and construction of public service facilities is a crucial component of this process. Existing planning methods of public service facilities focused on macroscopic indicators like population and GDP. In this way, accessibility and transportation conditions were neglected. Four typical counties in China were selected as samples where travel surveys and questionnaire surveys on public service facilities were conducted. Taking education and medical care as representative public service facilities, this study used geographic information processing to connect the locations of public service facilities at all levels with the urban land accessibility. Then, analysis of variance was used to obtain correlations between the level of public service facilities and the urban land accessibility. The results showed that the urban land accessibility of locations of public service facilities follows a normal distribution. Categories of facilities showed significant difference on urban land accessibility. Therefore, intervals of urban land accessibility of locations of public service facilities within one standard deviation from the mean were constructed by category. These intervals built a connection between transportation conditions with locations of public service facilities. Corresponding relation of carbon emission of facility-related trips and urban land accessibility was established as an example of an application. Carbon emissions caused by facility-related trips can be reduced by locating facilities at locations with appropriate urban land accessibility.

Suggested Citation

  • Wei Wang & Zihao Zhou & Jun Chen & Wen Cheng & Jian Chen, 2021. "Analysis of Location Selection of Public Service Facilities Based on Urban Land Accessibility," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:2:p:516-:d:477851
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    References listed on IDEAS

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    1. Constantine Toregas & Ralph Swain & Charles ReVelle & Lawrence Bergman, 1971. "The Location of Emergency Service Facilities," Operations Research, INFORMS, vol. 19(6), pages 1363-1373, October.
    2. Wei Gao & Ruoxiang Tu & Hao Li & Yongli Fang & Qingmin Que, 2020. "In the Subtropical Monsoon Climate High-Density City, What Features of the Neighborhood Environment Matter Most for Public Health?," IJERPH, MDPI, vol. 17(24), pages 1-17, December.
    3. 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.
    4. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    5. Zhengna Song & Tinggan Yan & Yunjian Ge, 2018. "Spatial Equilibrium Allocation of Urban Large Public General Hospitals Based on the Welfare Maximization Principle: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 10(9), pages 1-23, August.
    6. S. L. Hakimi, 1964. "Optimum Locations of Switching Centers and the Absolute Centers and Medians of a Graph," Operations Research, INFORMS, vol. 12(3), pages 450-459, June.
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    Cited by:

    1. Fengying Yan & Ningyu Huang & Yehui Zhang, 2022. "How Can the Layout of Public Service Facilities Be Optimized to Reduce Travel-Related Carbon Emissions? Evidence from Changxing County, China," Land, MDPI, vol. 11(8), pages 1-24, July.
    2. Kangxu Wang & Weifeng Wang & Tongtong Li & Shengjun Wen & Xin Fu & Xinhao Wang, 2023. "Optimizing Living Service Amenities for Diverse Urban Residents: A Supply and Demand Balancing Analysis," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    3. Liyin Shen & Lingyu Zhang & Haijun Bao & Siuwai Wong & Xiaoyun Du & Xiaoxuan Wei, 2023. "An Empirical Study on the Mismatch Phenomenon in Utilizing Urban Land Resources in China," Land, MDPI, vol. 12(6), pages 1-29, June.
    4. Yingzi Chen & Yaqi Hu & Lina Lai, 2022. "Demography-Oriented Urban Spatial Matching of Service Facilities: Case Study of Changchun, China," Land, MDPI, vol. 11(10), pages 1-22, September.

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