Abstract
The renovation problem of old residential areas is not only a city management task, but also a major engineering of benefiting the people, which is related to the people living and working in peace and contentment and the improvement of the overall image of the city. In order to improve the appearance of old residential areas in Chinese cities and the living conditions of their residents, city planners must take a scientific and structured approach to renovation. After analyzing current status of the old residential in several major Chinese cities, consulting the literature, and undertaking field investigations, this paper summarizes the main influencing factors on renovation decision-making. We propose five hypotheses, which we test using questionnaire survey data, sample analysis of these influencing factors, and a structural equation model (SEM). The results show that the degree of influence of each factor on renovation decisions ranks as technology being the most influential, followed by the economy, policy, the environment, and society. In addition, we find that there is nonzero correlation between these various factors.
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Funding
This research was supported by the Project of Beijing Social Science Foundation (Grant No. 18YTC020), the Project of Beijing Advanced Innovation Center for Future Urban Design of BUCEA (Grant No. udc2018010921,), the Project of Beijing Municipal Educational Science “13th Five-Year Plan” (Grant No. CDDB19167), the Project of China Association of Construction Education (Grant No. 2019061), and the Special Fund Support for Basic Scientific Research Business Expenses of Municipal Universities of BUCEA (X20055).
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Conceptualization, W.L. and Q.L.; data curation, W.L. and Y.L.; investigation, W.L., S.W., and L.J.; methodology, W.L. and Y.L.; writing—original draft preparation, W.L.; writing—review and editing, W.L. and Q.L. All authors have read and agreed to the published version of the manuscript.
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Li, W., Li, Q., Liu, Y. et al. Decision-making factors for renovation of old residential areas in Chinese cities under the concept of sustainable development. Environ Sci Pollut Res 30, 39695–39707 (2023). https://doi.org/10.1007/s11356-022-25043-9
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DOI: https://doi.org/10.1007/s11356-022-25043-9