Scholarlink

<p>Vacancy in buildings is widespread, and in Taiwan, rapid population migration and aging have driven rural housing vacancy rates above those in urban areas. Adaptive reuse offers a sustainable approach to repurposing these buildings. However, most vacancy studies focus on urban contexts, overlooking rural settings. This study develops an adaptive reuse evaluation model to quantify the reuse potential of vacant rural buildings. We identified 171 vacant buildings using Google Street View audits, electricity usage data, and onsite surveys, and applied a multi-criteria decision-making model to calculate reusability indices. Statistical analyses characterized the buildings, grouped them into “diverse, highly adaptive,” “potential development,” and “high deterioration risk” clusters, and revealed location as a key factor across all types. The findings underscore the often-overlooked reuse potential of vacant rural buildings and provide practical guidance for rural development, planners, designers, and government agencies.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

From vacancy to value: evaluating vacant rural building value through adaptive reuse

  • 期刊论文

  • 发表日期：

    2026年7月28日

查看全文
  • Pei-Yi Weng,
  • Dongying Li,
  • Yen-Cheng Chiang

摘要

Vacancy in buildings is widespread, and in Taiwan, rapid population migration and aging have driven rural housing vacancy rates above those in urban areas. Adaptive reuse offers a sustainable approach to repurposing these buildings. However, most vacancy studies focus on urban contexts, overlooking rural settings. This study develops an adaptive reuse evaluation model to quantify the reuse potential of vacant rural buildings. We identified 171 vacant buildings using Google Street View audits, electricity usage data, and onsite surveys, and applied a multi-criteria decision-making model to calculate reusability indices. Statistical analyses characterized the buildings, grouped them into “diverse, highly adaptive,” “potential development,” and “high deterioration risk” clusters, and revealed location as a key factor across all types. The findings underscore the often-overlooked reuse potential of vacant rural buildings and provide practical guidance for rural development, planners, designers, and government agencies.