Drivers of post-disaster relocations: The case of Moore and Hattiesburg tornados
| Autor: | Souparno Ghosh, Daan Liang, Joshua Mayer, Zhen Cong, Ali Nejat, Saeed Moradi |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
021110 strategic
defence & security studies education.field_of_study 010504 meteorology & atmospheric sciences Public economics Population 0211 other engineering and technologies Disaster recovery Human factors and ergonomics Poison control Geology 02 engineering and technology Building and Construction Geotechnical Engineering and Engineering Geology 01 natural sciences Suicide prevention Occupational safety and health Injury prevention Business education Relocation Safety Research 0105 earth and related environmental sciences |
| Zdroj: | International Journal of Disaster Risk Reduction. 49:101643 |
| ISSN: | 2212-4209 |
| Popis: | Post-disaster relocation may occur in the aftermath of major disasters, either unplanned or through buyout programs. There is an extensive research on recovery of affected population. However, research on the factors which cause the households to decide in favor of relocation or reconstruction is still in its infancy. This paper suggests a framework for classification and prediction of households' recovery decisions based on their attributes. To achieve this objective, data was collected through a telephone survey of residents affected by the 2013 Moore, Oklahoma and Hattiesburg, Mississippi tornados. The analysis was implemented using conditional inference trees and revealed the significance of level of damage, pre- and post-disaster homeownership, and housing type on the households' relocation decisions. The model can help with devising data-driven recovery policies tailored to a community's characteristics. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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