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.
- Built environment
- Gradient boosting decision trees
- Non-linear effect
- Residential satisfaction
- Three-factor theory