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© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

In recent years, most Chinese cities have been implementing renewal projects to improve the quality of life in old communities. “How” and “what” to renew has attracted much attention from the government and scholars. “What to renew” is closely related to the needs of a city’s population and should be determined by residents, while renewal effects are influenced by government action and the multiple parties that participate in a renewal project. Resident satisfaction should be used as the key indicator to measure the effects of renewal. Therefore, it is necessary to analyze resident satisfaction with the renewal of an old community and explore the factors that affect satisfaction. To address this question, we utilize an index system to measure resident satisfaction with community renewal on the basis of community governance and explore the impact of community governance on resident satisfaction by constructing an ordinal logistic regression model, based on the data collected in 19 communities in the city of Hangzhou, China. The regression results are analyzed, and corresponding countermeasures are proposed.

Details

Title
A Study of Resident Satisfaction and Factors That Influence Old Community Renewal Based on Community Governance in Hangzhou: An Empirical Analysis
Author
Gao, Hui 1 ; Wang, Ting 2 ; Gu, Shifeng 2 

 School of Management, Zhejiang University of Technology, Hangzhou 310023, China; China Housing and Real Estate Research Institute, Zhejiang University of Technology, Hangzhou 310023, China 
 School of Management, Zhejiang University of Technology, Hangzhou 310023, China 
First page
1421
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
2073445X
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2716555754
Copyright
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.