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An Analytical Study of the Contribution of Residents’ Value Perceptions in the Context of Urban Physical Examination

Bibliographic Data

ID16916018
AuthorsXiaoling Zhang (0000-0001-7634-3649, Nanyang Technological University), Haiqing Bai (0000-0001-8256-2098, Wuhan Institute of Technology), Xinyu Xiao (0009-0006-2655-6287, China Agricultural University, corresponding author)
Year2025
Volume15
Issue3
Publication date2025-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440251359854
OpenAlexW4414380715
LanguageEN
References cited55

Due to the increase of economic status and resultant urbanization, urban residents’ value perception (RVP) knowledge has become key to promote urban planning and management, and sustainable urban development. The purpose of this paper is to propose an approach to identify residents' value perception contribution based on AHP-TOPSIS-RF coupling. Firstly, 15 indicators are constructed from the following three dimensions; ecological livability, health and comfort, and transportation convenience, and consequently the coupling coefficients were calculated using AHP-TOPSIS. Then, the GINI-OOB coefficients were used to calculate the weight of the influencing factors, and thus determining the high influencing factors. Wuhan, China, was used as the target area for this study. Results show that: (1) GINI-OOB coupling results in less error than traditional analysis of Gini coefficients or OOB data alone; (2) the factors that influence Wuhan residents’ value perception were parking management (0.196), house price acceptability (0.08), job opportunities (0.07), and rent acceptability (0.06). This study will help to effectively identify the real needs of urban residents, reduce urban problems caused by residents, and improve urban sustainability

Gini coefficient · Perception · Sustainable development · Urban planning · Color perception and design · Customer Service Quality and Loyalty · Q Methodology Applications

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