Analysis of the Utilization of Vacant Houses and Extraction of Regional Characteristics Using Travel Information Data

Aoto Sasaki, Yuma Morisaki () and Makoto Fujiu
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Aoto Sasaki: Division of Geosciences and Civil Engineering, Graduate School of Natural Science and Technology, Kanazawa University, Kanazawa 920-1192, Japan
Yuma Morisaki: Faculty of Transdisciplinary Sciences for Innovation, Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa 920-1192, Japan
Makoto Fujiu: Faculty of Transdisciplinary Sciences for Innovation, Institute of Transdisciplinary Sciences for Innovation, Kanazawa University, Kanazawa 920-1192, Japan

Sustainability, 2024, vol. 16, issue 16, 1-12

Abstract: The number of vacant houses in Japan has increased rapidly in recent years due to a declining population. The government has been actively developing measures to solve the vacant house problem and has implemented subsidy programs to support the expansion of vacant house utilization projects. Japan has a particularly high number of vacant houses that are utilized for the purpose of “tourism”. However, vacant house utilization projects are scattered across Japan, and information on such projects is lacking. Moreover, the correlation between different vacant house utilization projects and their location characteristics has not been investigated. In this study, we used a travel information website to extract vacant house utilization facilities from the locations listed and determined the location characteristics of the utilization facilities. We classified the extracted utilization facilities into different categories and used the k-means method to group vacant house utilization facilities according to their categories and regional characteristics. The results obtained in this study can help local governments and businesses implement appropriate location-specific utilization projects.

Keywords: vacant houses; utilization; tourist location; travel information website; clustering analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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