中国
多级模型
互惠(文化人类学)
住宅区
回归分析
凝聚力(化学)
地理
实证研究
心理学
社会经济学
社会学
社会心理学
政治学
统计
考古
有机化学
化学
法学
数学
作者
Tongyun Du,Shihan Du,Ruoyu Wang
出处
期刊:Journal of urban planning and development
[American Society of Civil Engineers]
日期:2022-08-08
卷期号:148 (4)
被引量:10
标识
DOI:10.1061/(asce)up.1943-5444.0000869
摘要
This study measured the residential satisfaction of residents in six urban renewal projects in Chongqing, China with the aim of determining which social factors should be prioritized during urban renewal. Based on an analysis of 1,086 responses to a questionnaire survey conducted among residents at different stages of the urban renewal process, multilevel linear models were used to examine the determinants of residential satisfaction after urban renewal; model results showed that 49 predictor variables explained 32.29% of residential satisfaction values in the hierarchical regression latent models. Two findings from the empirical analysis are: (1) “Social networks and social protections” represented the strongest predictor of residential satisfaction, followed in order of strength by “social reciprocity and trust,” “community participation and accessibility,” and “sense of community and community cohesion”; and (2) keeping all five social factors balanced is essential for urban renewal projects, since having only one or two strong social factors will not contribute to higher residential satisfaction if the other factors are weak. Urban renewal studies of this kind are essential for monitoring trends in residential satisfaction.
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