A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Prioritizing neighborhood attributes to enhance neighborhood satisfaction: An impact asymmetry analysis
Abstract 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.
Highlights We integrate gradient boosting decision trees and impact asymmetry analysis. Transportation infrastructure and associated features are important to urban residents. Suburbanites and exurbanites value the social environment, safety, and diverse housing options. The asymmetric influences of neighborhood attributes on resident satisfaction are prevalent. We prioritize neighborhood improvements using asymmetric importance-performance analysis.
Prioritizing neighborhood attributes to enhance neighborhood satisfaction: An impact asymmetry analysis
Abstract 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.
Highlights We integrate gradient boosting decision trees and impact asymmetry analysis. Transportation infrastructure and associated features are important to urban residents. Suburbanites and exurbanites value the social environment, safety, and diverse housing options. The asymmetric influences of neighborhood attributes on resident satisfaction are prevalent. We prioritize neighborhood improvements using asymmetric importance-performance analysis.
Prioritizing neighborhood attributes to enhance neighborhood satisfaction: An impact asymmetry analysis
Cao, Jason (author) / Hao, Zhesong (author) / Yang, Jiawen (author) / Yin, Jiangbin (author) / Huang, Xiaoyan (author)
Cities ; 105
2020-06-18
Article (Journal)
Electronic Resource
English
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