ABSTRACT

In recent years, urban development in China has gradually changed from incremental expansion to stock optimization, whereas urban renewal is becoming the mainstream implementation of urban development. As one part of the normalized work, renewal of old communities has always attracted much attention. To explore the vitality of old communities and its key influence factors, this study considers indexes from the following three perspectives of the old communities: basic characteristics, functions, and economic indicators. The community vitality evaluation model is constructed based on structural equation modeling. Multi-source data including POI (point of interest), population heat map, and review platform data are adopted to study the factors influencing the vitality of 215 old communities in Guangzhou. The results show that all three factors have a significant positive influence on the vitality of old communities. The community economy has the most significant influence on the vitality of communities, and the community functions and community economy have the second most significant influence.

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Go to ICCREM 2021
ICCREM 2021
Pages: 818 - 825

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Published online: Dec 9, 2021

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1Lecturer, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
2Undergraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
Jiabin Duan [email protected]
3Undergraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
4Undergraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
Dongyang An [email protected]
5Undergraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
Jingrun Feng [email protected]
6Undergraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
7Undergraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
Shijie Tang [email protected]
8Undergraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]
Mingquan Wang [email protected]
9Postgraduate, School of Civil Engineering and Transportation, South China Univ. of Technology, Guangzhou, China. Email: [email protected]

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