摘要
本文基于2017年北京市居民日常活动与满意度调查数据,运用多层次路径分析方法,以社区及周边环境作为地理背景,探讨邻里环境、社区交往和生活满意度之间的复杂关系。研究发现,在控制个体和家庭社会经济因素后,社区建成环境对生活满意度的直接效应较弱,仅公园可达性显著正相关。然而,建成环境通过社区交往对生活满意度的间接效应显著,尤其是公园和公共设施可达性的增强能够促进居民更为频繁的社会交往,维持更紧密的邻里关系,进而提升个体生活满意度。此外,感知空气污染和噪音污染暴露不仅对生活满意度有直接影响,也通过社区交往间接降低了生活满意度。因此,本文建议在社区规划决策过程中,纳入对社区交往和生活满意度的考量,同时注重城市公共空间的营造和污染环境的治理。
With the rapid urbanization and residents’increasing living standards,subjective well-being,as a key aspect of social sustainable development,has been widely discussed.Employing daily activity and subjective well-being survey data in Beijing,this study takes the residential neighborhood as the geographic context to analyze the holistic relationship among neighborhood environment,social interaction and life satisfaction.The results from multilevel path analysis indicate that after controlling individual and household socioeconomic attributes,the direct effect of built environment on life satisfaction is mild,among which only the park accessibility shows a significant and positive correlation with life satisfaction.Social interaction has been proved to partly explain the pathway linking physical environment with life satisfaction.Increased access to parks and public facilities leads to more frequent social interaction and closer neighborly relationship,and thus improving life satisfaction.Perceived air pollution and noise exposure not only directly link to life satisfaction,but also indirectly relate with life satisfaction through the mediation of interaction with neighbors.
作者
杨婕
陶印华
刘志林
柴彦威
YANG Jie;TAO Yin-hua;LIU Zhi-lin;CHAI Yan-wei(College of Urban and Environmental Sciences,Peking University,Beijing 100871,China;Faculty of Architecture and the Built Environment,Delft University of Technology,Delft 2628 BL,The Netherlands;School of Public Policy and Management,Tsinghua University,Beijing 100084,China)
出处
《人文地理》
CSSCI
北大核心
2021年第2期27-34,54,共9页
Human Geography
基金
国家自然科学基金项目(41571144,41571153)。
关键词
邻里
建成环境
社会交往
主观幸福感
多层次模型
neighborhood
built environment
social interaction
subjective well-being
multilevel model