How Did the Built Environment Affect Urban Vibrancy? A Big Data Approach to Post-Disaster Revitalization Assessment

Hongyu Gong, Xiaozihan Wang, Zihao Wang, Ziyi Liu, Qiushan Li () and Yunhan Zhang
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Hongyu Gong: School of Architecture and Environment, Sichuan University, Chengdu 610065, China
Xiaozihan Wang: Wuyuzhang Honors College, Sichuan University, Chengdu 610065, China
Zihao Wang: School of Architecture and Environment, Sichuan University, Chengdu 610065, China
Ziyi Liu: School of Architecture and Environment, Sichuan University, Chengdu 610065, China
Qiushan Li: Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu 610065, China
Yunhan Zhang: School of Architecture and Environment, Sichuan University, Chengdu 610065, China

IJERPH, 2022, vol. 19, issue 19, 1-25

Abstract: Quantitative assessment of urban vibrancy is crucial to understanding urban development and promoting sustainability, especially for rapidly developing areas and regions that have experienced post-disaster reconstruction. Taking Dujiangyan City, the hardest-hit area of the earthquake, as an example, this paper quantifies the urban economic, social, and cultural vibrancy after reconstruction by the use of multi-source data, and conducts a geographic visualization analysis. The purpose is to establish an evaluation framework for the relationship between the urban built environment elements and vibrancy in different dimensions, to evaluate the benefits of post-disaster restoration and reconstruction. The results show that the urban vibrancy reflected by classified big data can not be completely matched due to the difference in the data generation and collection process. The Criteria Importance Though Inter-criteria Correlation and entropy (CRITIC-entropy) method is used to construct a comprehensive model is a better representation of the urban vibrancy spatial characteristics. On a global scale, comprehensive vibrancy demonstrates high continuity and a bi-center structure. In the old town, the distribution of various urban vibrancies show diffusion characteristics, while those in the new district demonstrated a high degree of aggregation, and the comprehensive vibrancy is less sensitive to land-use mixture and more sensitive to residential land.

Keywords: post-disaster reconstruction; multi-source data; geovisual analytics; geospatial model; sustainable development (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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