Demands for Community Services and Associated Factors among Residents in Smart Communities: A Case Study of Xuzhou City

Jiongxun Chen, Linxiu Wang (), Tiantian Gu, Chenyang Wang and Enyang Hao
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Jiongxun Chen: School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
Linxiu Wang: School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
Tiantian Gu: School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
Chenyang Wang: School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China
Enyang Hao: School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China

IJERPH, 2023, vol. 20, issue 4, 1-19

Abstract: Smart community enables a sustainable and livable community future, in which residents’ demands play an important role in its success. Though great efforts have been made to encourage residents’ participation in the implementation of smart communities, inefficient service supply still exists. Thus, this study aimed to classify residents’ demands for community services in smart communities and to explore relevant influencing factors based on the developed conceptual framework. Data from 221 respondents in Xuzhou city of China were analyzed by using binary logistic regression. The results indicated that more than 70% of respondents had demands for all community services in smart communities. Moreover, the demands were influenced by distinct factors, including sociodemographic characteristics, living characteristics, economic characteristics, and individual attitude characteristics. The types of community services in smart communities are clarified and fresh insights are provided into associated factors related to residents’ demands for these services in this study, through which enhanced provision of community services and effective implementation of smart communities can be achieved.

Keywords: smart community; residents’ demands; influencing factors; binary logistic regression (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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