In the aftermath of natural disasters, emergency management agencies need to provide adequate temporary housing solutions to accommodate the large number of displaced families. Disaster impact software systems, such as HAZUS-MH (FEMA) and MAEviz (MAE Center), enable emergency planners to estimate the expected displacement of families after natural disasters; however they lack the capability of providing temporary housing solutions. This paper presents the development of an automated system to support decision-makers in optimizing post-disaster temporary housing arrangements. The system has been integrated in MAEviz and provides the capability of optimizing a number of important objectives, including minimizing negative socioeconomic impacts, maximizing housing safety, minimizing negative environmental impacts, and minimizing public expenditures; in addition to other user-defined objectives. The system consists of three main models: (1) data collection; (2) automated optimization; and (3) output analysis and visualization. A large-scale application example is optimized to illustrate the use of the system and demonstrate its unique capabilities.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Civil and Structural Engineering
- Building and Construction