《Prioritizing neighborhood attributes to enhance neighborhood satisfaction: An impact asymmetry analysis》

打印
作者
Jason Cao;Zhesong Hao;Jiawen Yang;Jiangbin Yin;Xiaoyan Huang
来源
CITIES,Vol.105,Issue1,Article 102854
语言
英文
关键字
Non-linear effect;Residential satisfaction;Built environment;Gradient boosting decision trees;Three-factor theory
作者单位
Humphrey School of Public Affairs, University of Minnesota, Twin Cities, USA;School of Urban Planning and Design, Peking University, Shenzhen, China;Center for Land Resources Research in Northwest China, Institute of Transport Geography and Spatial Planning, Shaanxi Normal University, China;Humphrey School of Public Affairs, University of Minnesota, Twin Cities, USA;School of Urban Planning and Design, Peking University, Shenzhen, China;Center for Land Resources Research in Northwest China, Institute of Transport Geography and Spatial Planning, Shaanxi Normal University, China
摘要
Using the data from residents in urban, suburban, and exurban neighborhoods in Xi'an, China, this study employs impact asymmetry analysis to examine the non-linear influences of neighborhood attributes on resident satisfaction. The results show that important environmental correlates of neighborhood satisfaction differ by neighborhood type and the differences reflect the unique characteristics of the neighborhoods. Furthermore, the majority of the important neighborhood attributes have asymmetric influences on neighborhood satisfaction, challenging the linear assumption commonly adopted in neighborhood satisfaction studies. The asymmetricity implies the importance hierarchy of neighborhood attributes in generating resident satisfaction. We prioritize neighborhood attributes for enhancing resident satisfaction through asymmetric importance-performance analysis.