A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
An Automated System for Optimizing Temporary Housing Arrangements after Natural Disasters
Post-disaster temporary housing programs have often been criticized due their inability to fulfill the socioeconomic and safety needs of the displaced families and for being overly expensive. Impact assessment software systems, such as HAZUS-MH (FEMA) and MAEviz (Mid-America Earthquake Center), enable emergency planners to estimate post-disaster housing damage and displacement of families. This paper presents the development of an automated temporary housing planning system, which incorporates a preparedness model and a response model. These models are currently being integrated in MAEviz to support decision-makers in (1) identifying available temporary housing resources prior to a disaster; and (2) identifying optimal configurations of post-disaster temporary housing arrangements, which satisfy the safety and socioeconomic needs of displaced families, while minimizing public expenditures. A large-scale application example is provided to demonstrate the capabilities of the system in identifying feasible temporary housing alternatives and generating optimal trade-offs among different optimization objectives.
An Automated System for Optimizing Temporary Housing Arrangements after Natural Disasters
Post-disaster temporary housing programs have often been criticized due their inability to fulfill the socioeconomic and safety needs of the displaced families and for being overly expensive. Impact assessment software systems, such as HAZUS-MH (FEMA) and MAEviz (Mid-America Earthquake Center), enable emergency planners to estimate post-disaster housing damage and displacement of families. This paper presents the development of an automated temporary housing planning system, which incorporates a preparedness model and a response model. These models are currently being integrated in MAEviz to support decision-makers in (1) identifying available temporary housing resources prior to a disaster; and (2) identifying optimal configurations of post-disaster temporary housing arrangements, which satisfy the safety and socioeconomic needs of displaced families, while minimizing public expenditures. A large-scale application example is provided to demonstrate the capabilities of the system in identifying feasible temporary housing alternatives and generating optimal trade-offs among different optimization objectives.
An Automated System for Optimizing Temporary Housing Arrangements after Natural Disasters
El-Anwar, Omar (author) / El-Rayes, Khaled (author) / Elnashai, Amr (author)
Construction Research Congress 2009 ; 2009 ; Seattle, Washington, United States
Building a Sustainable Future ; 1135-1144
2009-04-01
Conference paper
Electronic Resource
English
An Automated System for Optimizing Temporary Housing Arrangements after Natural Disasters
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