the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Measuring and Characterizing Community Recovery to Earthquake: the Case of 2008 Wenchuan Earthquake, China
Abstract. Our world is prone to more frequent, deadly and costly earthquake disasters, which are increasingly uncertain and complex due to the rapid environmental and socio-economic changes occurring at multiple scales. There is an urgent need to recover rapidly and effectively for community after earthquake disasters. To enhance community recovery, it is necessary to have a good initial understanding of what it is, its determinants and how it can be measured, maintained and improved. So this article proposes the concept of community recovery as the capacity to recover and rebuild after the earthquake disasters by considering the original perspective of recovery. And we develop a new quantitative approach to measure community recovery to earthquake from four dimensions (population, economic, building, and infrastructure) by extending the concepts of recovery triangle. Taking the community of Wenchuan as the example to test our mathematical model and compare different recovery levels of four dimensions under the situation of Wenchuan Earthquake, the results can help the policy makers identify the low-recovery dimensions of Wenchuan to enhance post-disaster recovery and reconstruction efforts, and address the vital importance of local government in improving the post-disaster recovery.
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RC1: 'Reviewer's report', Anonymous Referee #1, 28 Feb 2017
- AC4: 'A List of Responses to the Referee #1’s Comments', Jie Liu, 12 Apr 2017
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RC2: 'Referee comment on “Measuring and Characterizing Community Recovery to Earthquake: the Case of 2008 Wenchuan Earthquake, China”', Anonymous Referee #2, 28 Feb 2017
- AC5: 'A List of Responses to the Referee #2’s Comments', Jie Liu, 12 Apr 2017
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SC1: 'short comment', Dan Wang, 16 Mar 2017
- AC1: 'A List of Responses to the Short Comments', Jie Liu, 12 Apr 2017
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SC2: 'comment', Hua Bai, 21 Mar 2017
- AC2: 'A List of Responses to the Short Comments', Jie Liu, 12 Apr 2017
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SC3: 'Short Comment', Chris Li, 10 Apr 2017
- AC3: 'A List of Responses to the Short Comments', Jie Liu, 12 Apr 2017
-
RC1: 'Reviewer's report', Anonymous Referee #1, 28 Feb 2017
- AC4: 'A List of Responses to the Referee #1’s Comments', Jie Liu, 12 Apr 2017
-
RC2: 'Referee comment on “Measuring and Characterizing Community Recovery to Earthquake: the Case of 2008 Wenchuan Earthquake, China”', Anonymous Referee #2, 28 Feb 2017
- AC5: 'A List of Responses to the Referee #2’s Comments', Jie Liu, 12 Apr 2017
-
SC1: 'short comment', Dan Wang, 16 Mar 2017
- AC1: 'A List of Responses to the Short Comments', Jie Liu, 12 Apr 2017
-
SC2: 'comment', Hua Bai, 21 Mar 2017
- AC2: 'A List of Responses to the Short Comments', Jie Liu, 12 Apr 2017
-
SC3: 'Short Comment', Chris Li, 10 Apr 2017
- AC3: 'A List of Responses to the Short Comments', Jie Liu, 12 Apr 2017
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Cited
5 citations as recorded by crossref.
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- Quantifying Community Resilience Using Hierarchical Bayesian Kernel Methods: A Case Study on Recovery from Power Outages J. Yu & H. Baroud 10.1111/risa.13343
- Sustainable Disaster Response Management Related to Large Technical Systems S. Kinzhikeyev et al. 10.3390/su122410290
- Analyzing the effects of tourism development on the reconstruction of earthquake-stricken villages in Changoreh Avaj in Iran A. Roumiani et al. 10.1007/s12517-022-10670-w
- Adjusting to the reality of sea level rise: reshaping coastal communities through resilience-informed adaptation M. Abdelhafez et al. 10.1007/s10584-024-03763-w