Estimation model of vacant houses in population decline areas using machine learning

This study addresses the increasing issue of vacant houses in urban areas, particularly in South Korea, by introducing a predictive framework that integrates machine learning and spatial autocorrelation. Focusing on detached housing in Jinju-si, a mid-sized city experiencing population decline, we e...

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Podrobná bibliografie

Hlavní autoři:	Soyeong Lee, Mincheul Bae, Heesun Joo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Taylor & Francis Group 2026-02-01
Edice:	Journal of Asian Architecture and Building Engineering
Témata:	vacant house prediction detached housing high-risk areas machine learning vacant house management
On-line přístup:	http://dx.doi.org/10.1080/13467581.2026.2621514
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