Multi-objective optimization of building mitigation strategies to address multiple hazards

Abstract

This study develops a decision support framework for community resilience planning in the context of multiple hazards. The ability to prepare for and adjust to changing circumstances, as well as to withstand and recover from future hazards, is referred to as community resilience planning. Although different mitigation strategies have been established for each form of hazard, it is critical to choose the right plan for the community considering the combined risk of multiple hazards. Coastal areas are particularly vulnerable to deadly earthquakes and tsunamis. Communities must create a new vision for their post-disaster existence in order to successfully address the devastating effects of these multiple events, this analysis will aid community leaders in making these critical decisions. The study was carried out in Seaside, Oregon to address resilience planning under multiple hazards. This framework has the potential to optimize economic, social, and physical viability of the community by identifying the most effective mitigation strategies for a given budget. The approach describes in depth how to integrate models built by specialists in the fields of social science and civil engineering to construct a multi-objective optimization model.