IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i2p922-d724732.html
   My bibliography  Save this article

Predicting Detached Housing Vacancy: A Multilevel Analysis

Author

Listed:
  • Jaekyung Lee

    (Department of Urban Design and Planning, Hongik University, Seoul 04066, Korea)

  • Galen Newman

    (Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA)

  • Changyeon Lee

    (Department of Urban Engineering, Jeonbuk National University, Jeonju 54896, Korea)

Abstract

Urban shrinkage is a critical issue in local small- and medium-sized cities in Korea. While there have been several studies to analyze the causes and consequences of vacancy increases, most have only focused on socioeconomic associations at larger scale and failed to consider individual housing level characteristics, primarily due to a lack of appropriate data. Based on data including 52,400 individual parcels, this study analyzes the primary contributors to vacant properties and their spatial distribution through a multilevel model design based on data for each parcel. Then, we identify areas at high risk of vacancy in the future to provide evidence to establish policies for improving the local environment. Results indicate that construction year, building structure, and road access conditions have a significant effect on vacant properties at the individual parcel level, and the presence of schools and hypermarket within 500 m are found to decrease vacant properties. Further, prediction outcomes show that the aged city center and areas with strict regulations on land use are expected to have a higher vacancy rate. These findings are used to provide a set of data-based revitalization strategies through the development of a vacancy prediction model.

Suggested Citation

  • Jaekyung Lee & Galen Newman & Changyeon Lee, 2022. "Predicting Detached Housing Vacancy: A Multilevel Analysis," Sustainability, MDPI, vol. 14(2), pages 1-18, January.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:2:p:922-:d:724732
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/2/922/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/2/922/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hyejeong Yoo & Youngsang Kwon, 2019. "Different Factors Affecting Vacant Housing According to Regional Characteristics in South Korea," Sustainability, MDPI, vol. 11(24), pages 1-14, December.
    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. Seongbeom Park & Jaekyung Lee & Yunmi Park, 2022. "Analysis of Residential Satisfaction Changes by the Land Bank Program Using Text Mining," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
    2. Shlomit Flint Ashery & Carl Steinitz, 2022. "Issue-Based Complexity: Digitally Supported Negotiation in Geodesign Linking Planning and Implementation," Sustainability, MDPI, vol. 14(15), pages 1-19, July.
    3. Kichan Kim & Chang Kil Lee & Hyun Woo Kim, 2022. "Understanding the Accessibility of Urban Parks and Connectivity of Green Spaces in Single-Person Household Distribution: Case Study of Incheon, South Korea," Land, MDPI, vol. 11(9), pages 1-17, August.
    4. Raisa Țăruș & Ștefan Dezsi & Andreea M. Crăciun & Florin Pop & Claudia E. Tudorache, 2022. "Urban Shrinking Cities in Romania and The Netherlands—A Possible Policy Framing," Sustainability, MDPI, vol. 14(10), pages 1-23, May.

    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. Ha Thi Khanh Van & Tran Vinh Ha & Takumi Asada & Mikiharu Arimura, 2022. "Vacancy Dwellings Spatial Distribution—The Determinants and Policy Implications in the City of Sapporo, Japan," Sustainability, MDPI, vol. 14(19), pages 1-26, September.

    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:14:y:2022:i:2:p:922-:d:724732. 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.