Using provincial baseline indicators to model geographic variations of disaster resilience in Thailand

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• 作者：Laura Siebeneck ; Sudha Arlikatti ; Simon A. Andrew
• 关键词：Resilience ; Thailand ; Flood ; Disaster
• 刊名：Natural Hazards
• 出版年：2015
• 出版时间：November 2015
• 年：2015
• 卷：79
• 期：2
• 页码：955-975
• 全文大小：846 KB
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• 作者单位：Laura Siebeneck (1)
  Sudha Arlikatti (1)
  Simon A. Andrew (1)
  
  1. Department of Public Administration, University of North Texas, 1155 Union Circle #310617, Denton, TX, 76203-5017, USA
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Hydrogeology
  Geophysics and Geodesy
  Geotechnical Engineering
  Civil Engineering
  Environmental Management
  
• 出版者：Springer Netherlands
• ISSN：1573-0840

文摘

Understanding a community’s capacity for responding to and recovering from natural disasters has been an emphasis of recent disaster research. In particular, scholars have called for the development of methodologies for measuring a location’s resilience to disasters. While several studies propose methodologies and frameworks for measuring disaster resilience in the USA, few studies examine and measure resilience in international settings. This study applies Cutter et al.’s (Glob Environ Change 18:598-06, 2008) Disaster Resilience of Place (DROP) model in order to examine disaster resilience at the provincial level in Thailand. Guided by the DROP model, 25 variables were selected from the 2000 and 2010 Thai Census and 2005-006 Statistical Yearbook that served as indicators of resilience. Using a principal component analysis, a set of baseline metrics reflecting dimensions of community capacities that influence disaster resilience was created. This analysis resulted in four dimensions describing resilience: household assets, economic assets, community/response assets, and institutional assets. Using the derived index, a correlation analysis was then conducted to examine differences in rural and urban disaster resilience. While the results of the model suggest that disaster resilience is generally higher in the more urbanized areas, we also note that communities located in rural areas in Thailand may not necessarily be less resilient to the impacts of disasters and call for studies conducted at both the macrolevel (provincial level) and at microlevel (village or neighborhood level) to get a nuanced understanding of community resiliency. Keywords Resilience Thailand Flood Disaster