In the global context of sustainable urban development, urban regeneration is an activity to improve the form and function of urban space in built-up areas. Commercial streets are one of the most active factors in urban space and an important factor in promoting urban prosperity and reflecting urban vitality, yet these streets have not kept pace with the public’s quest for quality through theoretical change, and this can even affect public comfort and well-being. In order to effectively undertake urban regeneration and improve the quality of urban streets and residents’ satisfaction, design factors for the quality enhancement of commercial streets are explored in order to rationalise residents’ demand preferences and their priorities, enhance residents’ sense of belonging, and provide suggestions for the optimisation of the design of subsequent urban street regeneration in China. By summarising the literature and the content requirements of the quality enhancement scheme for Shuanggang Old Street in Hefei, this study applied a questionnaire survey and scientifically developed an index system containing five evaluation indicators, including spatial carrying capacity, street attractiveness, travel safety, environmental comfort, and social interaction. A combination of hierarchical analysis and entropy weighting was used to identify the most influential factors on the implementation of the quality improvement of the commercial street and design optimisation suggestions. The evaluation results show that travel safety and social interaction significantly affect the evaluation of the quality improvement of commercial streets, as well as highlighting the needs of residents for street environments and services and the role of local governments.
CITATION STYLE
Zhang, L., Xu, X., & Guo, Y. (2022). Comprehensive Evaluation of the Implementation Effect of Commercial Street Quality Improvement Based on AHP-Entropy Weight Method—Taking Hefei Shuanggang Old Street as an Example. Land, 11(11). https://doi.org/10.3390/land11112091
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