IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i9p1780-d1239474.html
   My bibliography  Save this article

Discussion on the Optimization Method of Public Service Facility Layout from the Perspective of Spatial Equity: A Study Based on the Central City of Shanghai

Author

Listed:
  • Chen Chen

    (Institute of Urban and Demographic Studies, Shanghai Academy of Social Sciences, Shanghai 200020, China)

Abstract

Equity is one of the fundamental principles in the planning of public service facilities. In recent years, many cities have started to promote the construction of 15 min community living circles with the aim of providing residents with more equitable access to basic public services. Based on this background, this study explores an equity-oriented spatial quantitative analysis method to assist in the planning of public service facility layouts. The node centrality measurement index, such as betweenness from spatial syntax and social network analysis is introduced into the analysis method in order to consider the potential activity paths and flows of people at the community scale. Selecting the central city of Shanghai as a case study, the research presents results regarding spatial equity based on the relationship between public service demand and public service facilities supply. Building on this foundation, various approaches to enhancing equity are discussed: (1) optimizing the layout of public service facilities; (2) optimizing residential spatial patterns; and (3) optimizing pedestrian transportation networks.

Suggested Citation

  • Chen Chen, 2023. "Discussion on the Optimization Method of Public Service Facility Layout from the Perspective of Spatial Equity: A Study Based on the Central City of Shanghai," Land, MDPI, vol. 12(9), pages 1-16, September.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1780-:d:1239474
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/9/1780/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/9/1780/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Richard Church & Charles R. Velle, 1974. "The Maximal Covering Location Problem," Papers in Regional Science, Wiley Blackwell, vol. 32(1), pages 101-118, January.
    2. Linton Freeman, 1980. "The gatekeeper, pair-dependency and structural centrality," Quality & Quantity: International Journal of Methodology, Springer, vol. 14(4), pages 585-592, August.
    3. Wang, Siqiang & Yung, Esther, Hiu Kwan & Yu, Yifan & Tsou, Jin Yeu, 2022. "Right to the city and community facility planning for elderly: The case of urban renewal district in Hong Kong," Land Use Policy, Elsevier, vol. 114(C).
    4. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eliş, Haluk & Tansel, Barbaros & Oğuz, Osman & Güney, Mesut & Kian, Ramez, 2021. "On guarding real terrains: The terrain guarding and the blocking path problems," Omega, Elsevier, vol. 102(C).
    2. Jiwon Baik & Alan T. Murray, 2022. "Locating a facility to simultaneously address access and coverage goals," Papers in Regional Science, Wiley Blackwell, vol. 101(5), pages 1199-1217, October.
    3. Mingjian Wu & Tae J. Kwon & Karim El-Basyouny, 2020. "A Citywide Location-Allocation Framework for Driver Feedback Signs: Optimizing Safety and Coverage of Vulnerable Road Users," Sustainability, MDPI, vol. 12(24), pages 1-20, December.
    4. Zhi-Chun Li & Qian Liu, 2020. "Optimal deployment of emergency rescue stations in an urban transportation corridor," Transportation, Springer, vol. 47(1), pages 445-473, February.
    5. Comber, Alexis & Dickie, Jennifer & Jarvis, Claire & Phillips, Martin & Tansey, Kevin, 2015. "Locating bioenergy facilities using a modified GIS-based location–allocation-algorithm: Considering the spatial distribution of resource supply," Applied Energy, Elsevier, vol. 154(C), pages 309-316.
    6. İbrahim Miraç Eligüzel & Eren Özceylan & Gerhard-Wilhelm Weber, 2023. "Location-allocation analysis of humanitarian distribution plans: a case of United Nations Humanitarian Response Depots," Annals of Operations Research, Springer, vol. 324(1), pages 825-854, May.
    7. Xiujuan Zhao & Wei Xu & Yunjia Ma & Fuyu Hu, 2015. "Scenario-Based Multi-Objective Optimum Allocation Model for Earthquake Emergency Shelters Using a Modified Particle Swarm Optimization Algorithm: A Case Study in Chaoyang District, Beijing, China," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-16, December.
    8. 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.
    9. Mozhu Wang & Jianming Yao, 2023. "A reliable location design of unmanned vending machines based on customer satisfaction," Electronic Commerce Research, Springer, vol. 23(1), pages 541-575, March.
    10. Martha-Selene Casas-Ramírez & José-Fernando Camacho-Vallejo & Juan A. Díaz & Dolores E. Luna, 2020. "A bi-level maximal covering location problem," Operational Research, Springer, vol. 20(2), pages 827-855, June.
    11. Dayanna Rodrigues da Cunha Nunes & Orivalde Soares da Silva Júnior & Renata Albergaria de Mello Bandeira & Yesus Emmanuel Medeiros Vieira, 2023. "A Robust Stochastic Programming Model for the Well Location Problem: The Case of The Brazilian Northeast Region," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    12. Yijun Shi & Guofang Zhai & Lihua Xu & Quan Zhu & Jinyang Deng, 2019. "Planning Emergency Shelters for Urban Disasters: A Multi-Level Location–Allocation Modeling Approach," Sustainability, MDPI, vol. 11(16), pages 1-19, August.
    13. Tanaka, Ken-ichi & Furuta, Takehiro & Toriumi, Shigeki, 2019. "Railway flow interception location model: Model development and case study of Tokyo metropolitan railway network," Operations Research Perspectives, Elsevier, vol. 6(C).
    14. Sachuer Bao & Chi Zhang & Min Ouyang & Lixin Miao, 2019. "An integrated tri-level model for enhancing the resilience of facilities against intentional attacks," Annals of Operations Research, Springer, vol. 283(1), pages 87-117, December.
    15. Inkyung Sung & Taesik Lee, 2018. "Scenario-based approach for the ambulance location problem with stochastic call arrivals under a dispatching policy," Flexible Services and Manufacturing Journal, Springer, vol. 30(1), pages 153-170, June.
    16. Mahmutoğulları, Özlem & Yaman, Hande, 2023. "Robust alternative fuel refueling station location problem with routing under decision-dependent flow uncertainty," European Journal of Operational Research, Elsevier, vol. 306(1), pages 173-188.
    17. Mark S. Daskin, 2008. "What you should know about location modeling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(4), pages 283-294, June.
    18. Jianfeng Lu & Qiang Yang, 2022. "Location Optimization of Emergency Station for Dangerous Goods Accidents Considering Risk," Sustainability, MDPI, vol. 14(10), pages 1-11, May.
    19. Mustapha Anwar Brahami & Mohammed Dahane & Mehdi Souier & M’hammed Sahnoun, 2022. "Sustainable capacitated facility location/network design problem: a Non-dominated Sorting Genetic Algorithm based multiobjective approach," Annals of Operations Research, Springer, vol. 311(2), pages 821-852, April.
    20. Li Wang & Huan Shi & Lu Gan, 2018. "Healthcare Facility Location-Allocation Optimization for China’s Developing Cities Utilizing a Multi-Objective Decision Support Approach," Sustainability, MDPI, vol. 10(12), pages 1-22, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:9:p:1780-:d:1239474. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.