...
首页> 外文期刊>Natural Hazards >Factors affecting earthquake recovery: the Yao’an earthquake of China
【24h】

Factors affecting earthquake recovery: the Yao’an earthquake of China

机译:影响地震恢复的因素:中国的姚安地震

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Households vary in their ability to deal with disasters, and this may lead to different recovery results. Aiming to examine this differentiation, this paper studied the 2009 Yao’an earthquake in China. Surveys of 200 destroyed rural households were conducted in field investigations and follow-ups at 1 month, 1 year, and 1.5 years after the earthquake. The results showed a clear difference in recovery, the households observably being classified into five groups. These are the O group, which has different recovery time and economic cost from the other four; and the special group, comprising E L T O and E O T L (vulnerable during recovery); E H T O (strong during recovery); and E L T S (neither vulnerable nor strong). Logistic regression analysis revealed that differentiation in recovery patterns arose from the combined effect of demographic factors and external assistance provided to households. Lower income is the root cause of vulnerability in some households during the recovery process. However, other factors cause recovery differences between the two vulnerable groups, causing the economic recovery cost of the E L T O group to be lower, and the recovery time of the E O T L group to be longer. There was consensus that external assistance had an impact on all households. The more provided and the earlier it arrived, the lower the cost for recovery and the shorter the recovery time. This study shows that research on group differentiation of recovery is useful in understanding post-earthquake recovery processes and calls for taking group differentiation considerations into account in post-disaster recovery resource allocation practices.
机译:家庭应对灾难的能力各不相同,这可能导致不同的恢复结果。为了检验这种差异,本文研究了2009年的中国耀安地震。在地震发生后的1个月,1年和1.5年,对200个被摧毁的农村家庭进行了调查,并进行了跟踪调查。结果表明,恢复程度存在明显差异,可观察到的家庭分为五类。这些是O组,它们的恢复时间和经济成本与其他四个不同。特别小组,包括E L T O 和E O T L (在恢复过程中易受伤害); E H T O (恢复期间为强);和E L T S (既不脆弱也不强大)。 Logistic回归分析表明,恢复模式的差异是由于人口因素和提供给家庭的外部援助的共同作用所致。较低的收入是恢复过程中某些家庭脆弱的根本原因。但是,其他因素导致两个脆弱群体之间的恢复差异,导致EL TO 组的经济恢复成本较低,并且EO TL 组要更长一些。大家一致认为,外部援助对所有家庭都有影响。提供的内容越多,到达的时间越早,恢复的成本越低,恢复时间越短。这项研究表明,关于恢复的群体分化的研究有助于理解地震后的恢复过程,并呼吁在灾难后恢复资源分配实践中考虑到群体分化的考虑。

著录项

  • 来源
    《Natural Hazards》 |2012年第1期|p.37-53|共17页
  • 作者

    Ying Wang; Hao Chen; Juan Li;

  • 作者单位

    State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, No.19, XinJieKouWai St., HaiDian District, Beijing, 100875, People’s Republic of China;

    Key Laboratory of Environmental Change and Natural Disaster of MOE, Beijing Normal University, No.19, XinJieKouWai St., HaiDian District, Beijing, 100875, People’s Republic of China;

    Key Laboratory of Environmental Change and Natural Disaster of MOE, Beijing Normal University, No.19, XinJieKouWai St., HaiDian District, Beijing, 100875, People’s Republic of China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Recovery; Group differentiation; Earthquake; Factors;

    机译:恢复;群体分化;地震;因素;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号