Understanding the recovery phase of the disaster cycle is still in its infancy. A thorough grasp of recovery can lead to effective postdisaster planning, which is essential for enabling communities to recover quickly from natural and human-made catastrophes. Recent major disasters such as Hurricanes Sandy and Katrina have revealed the inability of existing policies and planning to promptly restore infrastructure, residential properties, and commercial activities in affected communities. While many studies examined the macroeconomic effects of certain policies on overall recovery, very few, if any, have focused on modeling the housing recovery decisions of households and their contributions to the community’s recovery. The reestablishment of housing is a crucial parameter in understanding recovery processes because it has a ripple effect on the overall timing of recovery. The objective of this study is to create a model capable of predicting postdisaster housing recovery decisions founded on the da...
1 January 2020 in Journal of Artificial Societies and Social Simulation