Analyzing the Factors of Vacant Home Occurrence for Urban Sustainability: A Case Study of Medium-Sized Cities Focusing on Asan City, Chungcheongnam-do

Jeong-hyeon Choi (), Seung-Seok Han and Myung-je Woo ()
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Jeong-hyeon Choi: Department of Spatial & Environmental Planning, ChungNam Institute in Republic of Korea, Gongju 32589, Republic of Korea
Seung-Seok Han: Department of Spatial & Environmental Planning, ChungNam Institute in Republic of Korea, Gongju 32589, Republic of Korea
Myung-je Woo: Department of Spatial & Environmental Planning, ChungNam Institute in Republic of Korea, Gongju 32589, Republic of Korea

Sustainability, 2024, vol. 16, issue 9, 1-18

Abstract: This study aims to enhance urban sustainability by analyzing the spatial distribution and underlying causes of vacant homes in Asan, Chungcheongnam-do. Various statistical methods were employed to analyze date concerning the number of vacant stores, population changes, land use complexity, and the physical characteristics of land and buildings; these factors were found to influence the prevalence of vacant homes across Asan. Additionally, it was found that distinct factors differentially affect specific regions, such as old downtown areas versus rural villages. This indicates that reducing vacant homes in these areas requires distinct policies tailored to the unique circumstances of each region. For instance, in old town areas, small lot ratios and land use complexity are significant, while in rural villages, the average number of floors and land use complexity play a major role. This study highlights the diverse factors influencing the prevalence of vacant homes and suggests that to effectively address this issue, policies should be developed that are tailored to the unique characteristics of each area, categorized at both the city and local levels.

Keywords: vacant homes; urban sustainability; Poisson regression; negative binomial regression; spatial analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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