|Author(s)||Sharareh Kermanshachi, University of Texas at Arlington|
|Co-Author(s)||Kelly Bergstrand, University of Texas at Arlington|
|CTEDD Funding Year||2018 SEED Grant|
|End Date||January 31, 2019|
This study addresses the question of how the PDRBs affect the timeliness of the recovery process of affected communities. This research will add to body of knowledge about post-disaster recovery by addressing gaps in the existing literature on integrated analysis of PDRBs. To address the mentioned gap in the literature, this study articulated the following three research objectives: 1 identify and categorize the PDRBs, 2 determine the impact weight of each of the identified PDRBs and prepare a prioritized list of PDRBs that hinder proactive disaster mitigation, and 3 develop a causality model, determining the relationships and interdependencies of exogenous and endogenous PDRBs.
Catastrophic natural disasters often cause major losses of resources in a community. Although it is important to allocate adequate resources in a timely manner to alleviate the consequences of post-disaster recovery barriers, all nations, including the U.S., have limited means. One challenge to achieving timely recovery is that the recovery environment is a dynamic atmosphere, which hardly follows a certain defined path, and the process is not systematically uniform across all sectors of society. Therefore, rapid restoration of disaster-affected areas has been an important challenge for the decision makers, and more investigation needs to be done on identifying post-disaster recovery
The findings of this research are as following:
1. Eighty-five 85 statistically significant post-disaster recovery barriers were identified and categorized. The five categories included economic, social, environmental, infrastructure and transportation, and policy.
2. The significant post-disaster recovery barriers of the policy category were sub-categorized and qualitatively analyzed. The seven sub-categories included coordination, construction and infrastructure, location, social and community participation, resources and documentation, finance and economic, and approach and attitude.
3. The significant post-disaster recovery barriers were weighted and ranked. A community that looks out for each other and Lack of long-term recovery funding programs were recognized as the most influential barriers.
4. A conceptual model was developed, demonstrating the causality interconnectivity of the identified post-disaster recovery barriers.
The research team believes that, the outcomes of the current research will assist policy-makers and officials with appropriate restoration planning to minimize the duration of post-disaster activities.