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Spatializing an Artist-Resident Community Area at a Building-Level: A Case Study of Garosu-Gil, South Korea

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Listed:
  • Jiman Park

    (Smart Mobility Research Center, Myongji University, 116 Myongji-ro, Cheoin-gu, Yongin-si 17058, Gyeonggi-do, Korea)

  • Jihang Kim

    (Land Geospatial Informatics Education Institute, Korea Land and Geospatial Informatics Corporation, 182 Yeonsudanji-gil, Sagok-myeon, Gongju 32522, Chungcheongnam-do, Korea)

  • Byungyun Yang

    (Department of Geography Education, Dongguk University, Jung-gu, Seoul 04620, Korea)

Abstract

This study integrated a focus on geographical, physical, and commercial characteristics to explore the commercial gentrification phenomenon and its related statistical summaries in the area of Garosu-gil in Seoul’s Sinsa-dong ward. In particular, this study first collected parcel and building data and corresponding attribute information and mapped the resulting datasets in a geographic information system (GIS) environment. We then examined gentrification issues per building and conducted statistical analyses to investigate spatial patterns of commercial gentrification, which were used to develop criteria for determining degrees of gentrification. Third, this study conducted correlation and regression analyses to quantify the strength of the linear relationship between pairs of variables associated with primary factors contributing to commercial gentrification, and used a geographically weighted regression model (GWR) to help understand and predict spatial relationships between significant variables. The results showed positive correlations between several variables and commercial gentrification in the study area, namely neighborhood-convenience facilities, building ages, store rents, new franchise and restaurant businesses, distance to subways, and the presence of multiple roads. Based on its finding, there are key contributions of this study as follows. The first significant contribution of this study is developing measurement of gentrification levels that can be used by policy makers at each of four stages of the gentrification process. Furthermore, this paper develops a comprehensive approach for spatially identifying gentrifying neighborhoods across multiple time periods in 2- and 3-dimensions. It eventually helps urban planners implement preventative or supportive programs to protect lower-income residents and small businesses and thereby engender more sustainable community development.

Suggested Citation

  • Jiman Park & Jihang Kim & Byungyun Yang, 2020. "Spatializing an Artist-Resident Community Area at a Building-Level: A Case Study of Garosu-Gil, South Korea," Sustainability, MDPI, vol. 12(15), pages 1-21, July.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:6116-:d:391674
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    References listed on IDEAS

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    1. Jan K. Brueckner & Stuart S. Rosenthal, 2009. "Gentrification and Neighborhood Housing Cycles: Will America's Future Downtowns Be Rich?," The Review of Economics and Statistics, MIT Press, vol. 91(4), pages 725-743, November.
    2. Adam Eckerd & Yushim Kim & Heather Campbell, 2019. "Gentrification and Displacement: Modeling a Complex Urban Process," Housing Policy Debate, Taylor & Francis Journals, vol. 29(2), pages 273-295, March.
    3. John Hipp, 2012. "Segregation Through the Lens of Housing Unit Transition: What Roles Do the Prior Residents, the Local Micro-Neighborhood, and the Broader Neighborhood Play?," Demography, Springer;Population Association of America (PAA), vol. 49(4), pages 1285-1306, November.
    4. Yoonku Kwon & Shinha Joo & Soyoung Han & Chan Park, 2017. "Mapping the Distribution Pattern of Gentrification near Urban Parks in the Case of Gyeongui Line Forest Park, Seoul, Korea," Sustainability, MDPI, vol. 9(2), pages 1-17, February.
    5. Jonathan Chipman & Richard Wright & Mark Ellis & Steven R. Holloway, 2012. "Mapping the evolution of racially mixed and segregated neighborhoods in Chicago," Journal of Maps, Taylor & Francis Journals, vol. 8(4), pages 340-343, December.
    6. Yoonchae Yoon & Jina Park, 2018. "Stage Classification and Characteristics Analysis of Commercial Gentrification in Seoul," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
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    Cited by:

    1. Jiman Park & Byungyun Yang, 2020. "GIS-Enabled Digital Twin System for Sustainable Evaluation of Carbon Emissions: A Case Study of Jeonju City, South Korea," Sustainability, MDPI, vol. 12(21), pages 1-21, November.

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