首页 | 本学科首页   官方微博 | 高级检索  
     检索      


The role of social capital,personal networks,and emergency responders in post-disaster recovery and resilience: a study of rural communities in Indiana
Authors:Arif Mohaimin Sadri  Satish V Ukkusuri  Seungyoon Lee  Rosalee Clawson  Daniel Aldrich  Megan Sapp Nelson  Justin Seipel  Daniel Kelly
Institution:1.Department of Civil and Environmental Engineering,Rose-Hulman Institute of Technology,Terre Haute,USA;2.Lyles School of Civil Engineering,Purdue University,West Lafayette,USA;3.Brian Lamb School of Communication,Purdue University,West Lafayette,USA;4.Department of Political Science,Purdue University,West Lafayette,USA;5.Department of Political Science,Northeastern University,Boston,USA;6.Library Sciences,Purdue University,West Lafayette,USA;7.Purdue Polytechnic Institute,Purdue University,West Lafayette,USA;8.Department of Philosophy,Purdue University,West Lafayette,USA
Abstract:The factors that explain the speed of recovery after disaster remain contested. While many have argued that physical infrastructure, social capital, and disaster damage influence the arc of recovery, empirical studies that test these various factors within a unified modeling framework are few. We conducted a mail survey to collect data on household recovery in four small towns in southern Indiana that were hit by deadly tornadoes in March 2012. The recovery effort is ongoing; while many of the homes, businesses, and community facilities were rebuilt in 2013, some are still under construction. We investigate how households in these communities are recovering from damage that they experienced and the role of social capital, personal networks, and assistance from emergency responders on the overall recovery experience. We used an ordered probit modeling framework to test the combined as well as relative effects of (a) damage to physical infrastructures (houses, vehicles, etc.); (b) recovery assistance from emergency responders (FEMA) as well as friends and neighbors; (c) personal network characteristics (size, network density, proximity, length of relationship); (d) social capital (civic engagement, contact with neighbors, trust); and (e) household characteristics. Results show that while households with higher levels of damage experienced slower recovery, those with recovery assistance from neighbors, stronger personal networks, and higher levels of social capital experienced faster recovery. The insights gained in this study will enable emergency managers and disaster response personnel to implement targeted strategies in facilitating post-disaster recovery and community resilience.
Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号