Impact of Perceived Value and Community Attachment on Smart Renovation Participation Willingness for Sustainable Development of Old Urban Communities in China

被引:9
|
作者
Ding, Qingyang [1 ]
Zhang, Tong [1 ]
Zhu, Xin [1 ]
Zhang, Jin [2 ]
机构
[1] Beijing Union Univ, Sch Management, Beijing 100101, Peoples R China
[2] Tsinghua Univ, Sch Social Sci, Beijing 100084, Peoples R China
基金
中国国家自然科学基金;
关键词
old urban communities; smart renovation; participation willingness; sustainable development; community attachment; USER ACCEPTANCE; COMMITMENT; SATISFACTION; TECHNOLOGY; ADOPTION; QUALITY; PRICE;
D O I
10.3390/su141811675
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The transformation of old neighborhoods involves many important types of livelihood development projects, of which smart transformation is considered one of the most important tasks at present. The smart transformation of old neighborhoods provides an important means to promote sustainable development; however, enhancing the willingness of residents to participate is an important prerequisite for the smart transformation of old neighborhoods. Considering perceptive value acceptance theory and community ownership theory in the field of information management and sociology, we study the intention of residents in old communities to participate in intelligent transformation and its influence mechanisms. Our results show that willingness to participate in the smart renovation of old residential areas is positively affected by the perceived value of smart renovation and the sense of community attachment of residents. The sense of community plays an intermediary role in the relationship between perceived value and willingness to participate in smart renovation. At the same time, the perceived value of intelligent renovation of old residential areas and a sense of community have chain mediating effects between perceived usefulness, perceived enjoyment, perceived risk, perceived cost, and willingness to participate. This paper not only achieves theoretical expansion but also provides good support for accelerating the intelligent transformation of old communities in China.
引用
收藏
页数:19
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