the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Measuring county resilience after the 2008 Wenchuan earthquake
Abstract. The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM) model, to quantify and validate the community resilience of 105 counties in the affected area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions, and then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county resilience. The analysis results show that counties located right at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency. The socioeconomic variables, including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities, were identified as the most influential socio-economic characteristics on resilience. This study provides useful information to improve county resilience to earthquakes and support decision-making for sustainable development.
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RC C122: 'reason for the rejected', Anonymous Referee #1, 04 Mar 2015
- AC C161: 'Response to the comments from Reviewer 1', Xiaolu Li, 11 Mar 2015
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RC C133: 'Review: Measuring Country Resilience after the 2008 Wenchuan Earthquake.', Anonymous Referee #2, 06 Mar 2015
- AC C164: 'Response to the comments from Reviewer 2', Xiaolu Li, 11 Mar 2015
-
RC C122: 'reason for the rejected', Anonymous Referee #1, 04 Mar 2015
- AC C161: 'Response to the comments from Reviewer 1', Xiaolu Li, 11 Mar 2015
-
RC C133: 'Review: Measuring Country Resilience after the 2008 Wenchuan Earthquake.', Anonymous Referee #2, 06 Mar 2015
- AC C164: 'Response to the comments from Reviewer 2', Xiaolu Li, 11 Mar 2015
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Cited
5 citations as recorded by crossref.
- Geographical Analysis of Community Resilience to Seismic Hazard in Southwest China X. Li et al. 10.1007/s13753-016-0091-8
- Spatial-temporal analysis of community resilience to multi-hazards in the Anning River basin, Southwest China C. Tian et al. 10.1016/j.ijdrr.2019.101144
- Toward quantification of seismic resilience in Iran: Developing an integrated indicator system M. Atrachali et al. 10.1016/j.ijdrr.2019.101231
- Assessing local resilience to typhoon disasters: A case study in Nansha, Guangzhou J. Song et al. 10.1371/journal.pone.0190701
- Mapping and assessing coastal resilience in the Caribbean region N. Lam et al. 10.1080/15230406.2015.1040999