Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquake
ABSTRACTEarthquakes will significantly impact the economic development of earthquake-affected areas and the regional post-earthquake economic recovery trajectory. We presented an explorative analysis of disaster resilience and introduced a quantitative framework to model recovery patterns of earthqu...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
|
| Series: | All Earth |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/27669645.2023.2207942 |
| _version_ | 1827629741088178176 |
|---|---|
| author | Xiaolin Chen Xue Li Zhumei Liu |
| author_facet | Xiaolin Chen Xue Li Zhumei Liu |
| author_sort | Xiaolin Chen |
| collection | DOAJ |
| description | ABSTRACTEarthquakes will significantly impact the economic development of earthquake-affected areas and the regional post-earthquake economic recovery trajectory. We presented an explorative analysis of disaster resilience and introduced a quantitative framework to model recovery patterns of earthquake disasters. Four resilience metrics, namely instant disturbance, recovery rate, recovery time, and accumulated loss, were calculated to measure resilience as a dynamic process. Furthermore, we applied random forests to explore the potential factors influencing recovery patterns. The selected factors fell into three categories: 1) disaster factors, 2) environmental factors, and 3) socioeconomic factors. The framework’s utility was demonstrated in a retrospective study of the 2008 Wenchuan earthquake, which uncovered the differences in the long-term recovery trajectory of earthquake-affected areas and their influencing factors. The county-level analyses indicated a substantial spatial and temporal variation in the recovery patterns. Earthquake disaster resilience was related to socioeconomic factors and had an association with environmental and disaster factors. Our study not only helped to enrich the understanding of earthquake disaster resilience but also provided a basis for disaster mitigation strategies. |
| first_indexed | 2024-03-09T13:56:42Z |
| format | Article |
| id | doaj.art-08ab1ab5b19249469f833a8c4414d9fc |
| institution | Directory Open Access Journal |
| issn | 2766-9645 |
| language | English |
| last_indexed | 2024-03-09T13:56:42Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | All Earth |
| spelling | doaj.art-08ab1ab5b19249469f833a8c4414d9fc2023-11-30T12:23:43ZengTaylor & Francis GroupAll Earth2766-96452023-12-0135113214810.1080/27669645.2023.2207942Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquakeXiaolin Chen0Xue Li1Zhumei Liu2Key Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan, ChinaKey Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan, ChinaKey Laboratory of Earthquake Geodesy, Institute of Seismology, China Earthquake Administration, Wuhan, ChinaABSTRACTEarthquakes will significantly impact the economic development of earthquake-affected areas and the regional post-earthquake economic recovery trajectory. We presented an explorative analysis of disaster resilience and introduced a quantitative framework to model recovery patterns of earthquake disasters. Four resilience metrics, namely instant disturbance, recovery rate, recovery time, and accumulated loss, were calculated to measure resilience as a dynamic process. Furthermore, we applied random forests to explore the potential factors influencing recovery patterns. The selected factors fell into three categories: 1) disaster factors, 2) environmental factors, and 3) socioeconomic factors. The framework’s utility was demonstrated in a retrospective study of the 2008 Wenchuan earthquake, which uncovered the differences in the long-term recovery trajectory of earthquake-affected areas and their influencing factors. The county-level analyses indicated a substantial spatial and temporal variation in the recovery patterns. Earthquake disaster resilience was related to socioeconomic factors and had an association with environmental and disaster factors. Our study not only helped to enrich the understanding of earthquake disaster resilience but also provided a basis for disaster mitigation strategies.https://www.tandfonline.com/doi/10.1080/27669645.2023.2207942Resilienceearthquake disastereconomic recoveryrandom forest algorithm |
| spellingShingle | Xiaolin Chen Xue Li Zhumei Liu Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquake All Earth Resilience earthquake disaster economic recovery random forest algorithm |
| title | Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquake |
| title_full | Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquake |
| title_fullStr | Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquake |
| title_full_unstemmed | Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquake |
| title_short | Evaluation of earthquake disaster recovery patterns and influencing factors: a case study of the 2008 Wenchuan earthquake |
| title_sort | evaluation of earthquake disaster recovery patterns and influencing factors a case study of the 2008 wenchuan earthquake |
| topic | Resilience earthquake disaster economic recovery random forest algorithm |
| url | https://www.tandfonline.com/doi/10.1080/27669645.2023.2207942 |
| work_keys_str_mv | AT xiaolinchen evaluationofearthquakedisasterrecoverypatternsandinfluencingfactorsacasestudyofthe2008wenchuanearthquake AT xueli evaluationofearthquakedisasterrecoverypatternsandinfluencingfactorsacasestudyofthe2008wenchuanearthquake AT zhumeiliu evaluationofearthquakedisasterrecoverypatternsandinfluencingfactorsacasestudyofthe2008wenchuanearthquake |