Yuqiao Wu

With the ongoing advancement of urbanization in China, a disparity has arisen between population demands and the allocation of community resources, resulting in a persistent increase in residential vacancy rates. The integration of service facilities into vacant residential spaces has enabled functional housing transformations. This study analyzes three typical types of communities in Xi’an to examine these transformations, identifying distinct types and patterns across five scenarios, which include social, health, leisure, cultural, and educational contexts. Through structured questionnaires and in-depth interviews, we collected data on residents’ life satisfaction and NIMBY (not in my backyard) perceptions. Applying a NIMBY index algorithm, we quantified characteristics and identified root causes. The results demonstrated that leisure scenarios most significantly affected satisfaction, while social scenarios showed the highest NIMBY index. Using an ordered logistic regression model, we determined key NIMBY factors influencing satisfaction across scenarios, revealing their differential impact mechanisms. Drawing on the findings, we investigated coordination mechanisms between the transformations of residential spaces and the needs of residents. Based on this analysis, the research objective was to explore how vacant housing can integrate service facilities while mitigating NIMBY effects and meeting resident needs. Proposed strategies include hierarchical facility allocation, NIMBY mitigation measures, and spatial planning optimization, ultimately adapting to diverse lifestyles and housing demands.