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A resilience matrix approach for measuring and mitigating disaster-induced population displacement
یک روش انعطاف پذیری ماتریس برای اندازه گیری و کاهش جابجایی جمعیت ناشی از فاجعه-2020 Globally, risk factors for population displacement due to major disasters are on the rise. These factors include the
increasing frequency of extreme weather events, aging infrastructure, growing populations, and increasing urbanization.
In cases of widespread damage, tools are needed to support complicated multiyear reconstruction
efforts so that populations can return. We adapt the resilience matrix approach [1] as an organizing framework
and resilience assessment tool to the problem of population displacement under conditions of damaged infrastructure.
The resulting Population Resilience Matrix (PRM) links infrastructure reconstruction directly to the
goal of reducing displacement due to infrastructure damage through performance metrics across the physical,
social, information, and project management domains. This approach yields a summary of status and priorities
that accounts for funding availability and the multi-phase recovery process. The PRM is applied to a synthetic
extreme flood scenario, and includes detailed event-specific, locally relevant recovery assessment metrics. A
practical approach to identifying the contributions of interdependent infrastructure systems to displacement is
also outlined. The PRM is intended to support decision makers with coordinating roles, such as local disaster
recovery managers. This approach is compatible with and complementary to US guidance on pre- and postdisaster
planning and can also be applied internationally. Keywords: Resilience | Recovery | Infrastructure interdependencies | Population displacement | Migration |
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