IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i3p1472-d490609.html
   My bibliography  Save this article

Urban Public Service Analysis by GIS-MCDA for Sustainable Redevelopment: A Case Study of a Megacity in Korea

Author

Listed:
  • Ji Seong Chae

    (Department of Architectural Engineering, Hanyang University, Seoul 133791, Korea)

  • Chang Hyun Choi

    (Department of Architectural Engineering, Hanyang University, Seoul 133791, Korea)

  • Jeong Hoon Oh

    (Department of Architectural Engineering, Hanyang University, Seoul 133791, Korea)

  • Young Tae Chae

    (Department of Architectural Engineering, Cheongju University, Cheongju 360764, Korea)

  • Jae-Weon Jeong

    (Department of Architectural Engineering, Hanyang University, Seoul 133791, Korea)

  • Dongkyu Lee

    (Department of Architectural Engineering, Hanyang University, Seoul 133791, Korea)

Abstract

With the rapid industrialization and urbanization, suburban areas have been developed to accommodate the sudden demand of the population. However, recent problems such as low fertility and aging induces urban shrinkage by reducing the urban population and the economy in old areas around the suburbs. As urban shrinkage causes inequality among residents in terms of the opportunities to access public services, the enhancement of the accessibility of public services is crucial to achieve inclusive growth. This paper proposes a framework for supplying public services based on the transit-oriented development (TOD) concept with geographic information system (GIS) analysis technique. A total of 24 indices, 4 criteria for 6 public services, are measured and weighted by the entropy method to find vulnerable residential buildings with a poor environment in Jung-nang district, Seoul. With a spatial analysis based on this weight value of residential buildings and the TOD concept, old commercial buildings are selected as candidate buildings for public services. According to the derived results, one candidate building as a public service can improve the environment of 3% to 8% of vulnerable residential buildings. The proposed decision-making methods can provide a valuable reference for selecting the location of public services by computational analysis with GIS.

Suggested Citation

  • Ji Seong Chae & Chang Hyun Choi & Jeong Hoon Oh & Young Tae Chae & Jae-Weon Jeong & Dongkyu Lee, 2021. "Urban Public Service Analysis by GIS-MCDA for Sustainable Redevelopment: A Case Study of a Megacity in Korea," Sustainability, MDPI, vol. 13(3), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1472-:d:490609
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/3/1472/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/13/3/1472/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ashraf Abd El Karim & Mohsen M. Awawdeh, 2020. "Integrating GIS Accessibility and Location-Allocation Models with Multicriteria Decision Analysis for Evaluating Quality of Life in Buraidah City, KSA," Sustainability, MDPI, vol. 12(4), pages 1-28, February.
    2. M. Francisca Lima & Mark R. Eischeid, 2017. "Shrinking cities: rethinking landscape in depopulating urban contexts," Landscape Research, Taylor & Francis Journals, vol. 42(7), pages 691-698, October.
    3. Dustin L. Herrmann & William D. Shuster & Audrey L. Mayer & Ahjond S. Garmestani, 2016. "Sustainability for Shrinking Cities," Sustainability, MDPI, vol. 8(9), pages 1-9, September.
    4. Papa, Enrica & Bertolini, Luca, 2015. "Accessibility and Transit-Oriented Development in European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 47(C), pages 70-83.
    5. Nasri, Arefeh & Zhang, Lei, 2014. "The analysis of transit-oriented development (TOD) in Washington, D.C. and Baltimore metropolitan areas," Transport Policy, Elsevier, vol. 32(C), pages 172-179.
    6. Se Na Sun & Jaeseok Her & Sae-Young Lee & Jae Seung Lee, 2017. "Meso-Scale Urban Form Elements for Bus Transit-Oriented Development: Evidence from Seoul, Republic of Korea," Sustainability, MDPI, vol. 9(9), pages 1-13, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Çetinkaya, Cihan & Erbaş, Mehmet & Kabak, Mehmet & Özceylan, Eren, 2023. "A mass vaccination site selection problem: An application of GIS and entropy-based MAUT approach," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    2. Peishen Wu & Mei Liu, 2022. "A Framework for the Spatial Inequality in Urban Public Facility for Urban Planning, Design and Management," Land, MDPI, vol. 11(9), pages 1-20, August.

    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. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    2. Phani Kumar, P. & Ravi Sekhar, Ch. & Parida, Manoranjan, 2018. "Residential dissonance in TOD neighborhoods," Journal of Transport Geography, Elsevier, vol. 72(C), pages 166-177.
    3. Eun Hak Lee & Hosuk Shin & Shin-Hyung Cho & Seung-Young Kho & Dong-Kyu Kim, 2019. "Evaluating the Efficiency of Transit-Oriented Development Using Network Slacks-Based Data Envelopment Analysis," Energies, MDPI, vol. 12(19), pages 1-15, September.
    4. Li, Zekun & Han, Zixuan & Xin, Jing & Luo, Xin & Su, Shiliang & Weng, Min, 2019. "Transit oriented development among metro station areas in Shanghai, China: Variations, typology, optimization and implications for land use planning," Land Use Policy, Elsevier, vol. 82(C), pages 269-282.
    5. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    6. Liao, Cong & Scheuer, Bronte, 2022. "Evaluating the performance of transit-oriented development in Beijing metro station areas: Integrating morphology and demand into the node-place model," Journal of Transport Geography, Elsevier, vol. 100(C).
    7. Su, Shiliang & Wang, Zhuolun & Li, Bozhao & Kang, Mengjun, 2022. "Deciphering the influence of TOD on metro ridership: An integrated approach of extended node-place model and interpretable machine learning with planning implications," Journal of Transport Geography, Elsevier, vol. 104(C).
    8. Singh, Yamini Jain & Lukman, Azhari & Flacke, Johannes & Zuidgeest, Mark & Van Maarseveen, M.F.A.M., 2017. "Measuring TOD around transit nodes - Towards TOD policy," Transport Policy, Elsevier, vol. 56(C), pages 96-111.
    9. Su, Shiliang & Zhang, Hui & Wang, Miao & Weng, Min & Kang, Mengjun, 2021. "Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications," Journal of Transport Geography, Elsevier, vol. 90(C).
    10. Akbari, Saidal & Mahmoud, Mohamed Salah & Shalaby, Amer & Habib, Khandker M. Nurul, 2018. "Empirical models of transit demand with walk access/egress for planning transit oriented developments around commuter rail stations in the Greater Toronto and Hamilton Area," Journal of Transport Geography, Elsevier, vol. 68(C), pages 1-8.
    11. Katarzyna Kocur-Bera & Karol Szuniewicz, 2021. "Socio-Spatial Aspects of Shrinking Municipalities: A Case Study of the Post-Communist Region of North-East Poland," Sustainability, MDPI, vol. 13(5), pages 1-20, March.
    12. Shuyi Xie & Elena Batunova, 2019. "Shrinking Historic Neighborhoods and Authenticity Dilution: An Unspoken Challenge of Historic Chinatowns in the United States through the Case of San Francisco," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    13. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    14. Duncan, Michael, 2019. "Would the replacement of park-and-ride facilities with transit-oriented development reduce vehicle kilometers traveled in an auto-oriented US region?," Transport Policy, Elsevier, vol. 81(C), pages 293-301.
    15. Peng, Ya-Ting & Li, Zhi-Chun & Choi, Keechoo, 2017. "Transit-oriented development in an urban rail transportation corridor," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 269-290.
    16. Martin J. Murray, 2021. "Ruination and Rejuvenation: Rethinking Growth and Decline through an Inverted Telescope," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 45(2), pages 348-362, March.
    17. Zuo, Ting & Wei, Heng & Liu, Hao & Yang, Y. Jeffrey, 2019. "Bi-level optimization approach for configuring population and employment distributions with minimized vehicle travel demand," Journal of Transport Geography, Elsevier, vol. 74(C), pages 161-172.
    18. Wang, Jingjing & Lu, Yi & Yang, Yiyang & Peng, Jiandong & Liu, Ye & Yang, Linchuan, 2023. "Influence of a new rail transit line on travel behavior: Evidence from repeated cross-sectional surveys in Hong Kong," Journal of Transport Geography, Elsevier, vol. 106(C).
    19. Balanzó, Rafael de & Rodríguez-Planas, Núria, 2017. "Crisis and Reorganization in Urban Dynamics: The Barcelona Case Study," IZA Discussion Papers 10748, Institute of Labor Economics (IZA).
    20. Kamruzzaman, Md. & Deilami, Kaveh & Yigitcanlar, Tan, 2018. "Investigating the urban heat island effect of transit oriented development in Brisbane," Journal of Transport Geography, Elsevier, vol. 66(C), pages 116-124.

    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:jsusta:v:13:y:2021:i:3:p:1472-:d:490609. 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.