Version 1
: Received: 15 May 2023 / Approved: 16 May 2023 / Online: 16 May 2023 (05:02:54 CEST)
How to cite:
Kim, J.; Ham, S. A Study on the Status and Spatial Autocorrelation of Vacant Houses in Jeollabuk-do, South Korea. Preprints2023, 2023051087. https://doi.org/10.20944/preprints202305.1087.v1
Kim, J.; Ham, S. A Study on the Status and Spatial Autocorrelation of Vacant Houses in Jeollabuk-do, South Korea. Preprints 2023, 2023051087. https://doi.org/10.20944/preprints202305.1087.v1
Kim, J.; Ham, S. A Study on the Status and Spatial Autocorrelation of Vacant Houses in Jeollabuk-do, South Korea. Preprints2023, 2023051087. https://doi.org/10.20944/preprints202305.1087.v1
APA Style
Kim, J., & Ham, S. (2023). A Study on the Status and Spatial Autocorrelation of Vacant Houses in Jeollabuk-do, South Korea. Preprints. https://doi.org/10.20944/preprints202305.1087.v1
Chicago/Turabian Style
Kim, J. and Sungil Ham. 2023 "A Study on the Status and Spatial Autocorrelation of Vacant Houses in Jeollabuk-do, South Korea" Preprints. https://doi.org/10.20944/preprints202305.1087.v1
Abstract
After industrialization and the baby boom, many houses have been left vacant in many cities worldwide due to changes in the economy, socie-ty, and urban composition. The increase in vacant houses causes social problems, like the collapse of village communities, damage to urban aes-thetics, risk of crime due to vacant houses, and decrease in the value of real estate. Accordingly, policy attempts and studies to reduce and utilize vacant houses are in progress in various countries. In South Korea, the ratio of vacant houses was 6.4% of all houses as of 2021, and in Jeolla-buk-do, it was 11.6%, which is higher than the national average. Jeollabuk-do conducted a fact-finding survey on countermeasures against va-cant houses; 17,732 vacant houses (2.4%) were surveyed. The urbanization, population, and terrain of Jeollabuk-do, consisting of 14 cities and counties, were considered. The ratios, types, grades, and spatial autocorrelations of vacant houses were analyzed after classification into city (fo-cus, small, and medium) and county (plains and mountains) areas. There were significant differences in the averages of the ratios, grades, and spatial autocorrelations between city and county areas. Therefore, policy establishment for vacant house management and countermeasures re-quires consideration of the areas and types of vacant houses.Keywords: : vacant house; spatial autocorrelation; fact-finding survey
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
