Optimizing Large-Scale Temporary Housing Arrangements after Natural Disasters

El-Anwar, Omar; El‐Rayes, Khaled; Elnashai, Amr S.

doi:10.1061/(asce)0887-3801(2009)23:2(110)

Cited by 40 publications

(24 citation statements)

References 9 publications

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“…Natural hazards such as earthquakes cause large-scale casualties, injuries and the destruction of housing in residential areas [1,2]. Nowadays, smart systems with acceptable coherence and flexibility are essential.…”

Section: Introductionmentioning

confidence: 99%

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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Agent-based modeling is a promising approach for developing simulation tools for natural hazards in different areas, such as during urban search and rescue (USAR) operations. The present study aimed to develop a dynamic agent-based simulation model in post-earthquake USAR operations using geospatial information system and multi agent systems (GIS and MASs, respectively). We also propose an approach for dynamic task allocation and establishing collaboration among agents based on contract net protocol (CNP) and interval-based Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methods, which consider uncertainty in natural hazards information during agents' decision-making. The decision-making weights were calculated by analytic hierarchy process (AHP). In order to implement the system, earthquake environment was simulated and the damage of the buildings and a number of injuries were calculated in Tehran's District 3: 23%, 37%, 24% and 16% of buildings were in slight, moderate, extensive and completely vulnerable classes, respectively. The number of injured persons was calculated to be 17,238. Numerical results in 27 scenarios showed that the proposed method is more accurate than the CNP method in the terms of USAR operational time (at least 13% decrease) and the number of human fatalities (at least 9% decrease). In interval uncertainty analysis of our proposed simulated system, the lower and upper bounds of uncertain responses are evaluated. The overall results showed that considering uncertainty in task allocation can be a highly advantageous in the disaster environment. Such systems can be used to manage and prepare for natural hazards.

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Section: Introductionmentioning

confidence: 99%

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Hooshangi

Alesheikh

2018

IJGI

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“…The site selection problem, requirements and, thus, indicators were derived according to [1,10,[38][39][40][41][42][43]. However, the indexes were adjusted to reflect the chosen case study based on interviews with local experts.…”

Section: Sustainability Assessment Model With Mivesmentioning

confidence: 99%

A combination of the Knapsack algorithm and MIVES for choosing optimal temporary housing site locations: A case study in Tehran

Hosseini

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2018

International Journal of Disaster Risk Reduction

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“…All of these research studies have contributed to the development of TH, but only a few have considered TH optimization (El-Anwar et al 2009b) and sustainable construction (El-Anwar et al 2009c). The number of studies in which urban areas have been considered is also small compared to those dealing with rural areas.…”

Section: Introductionmentioning

confidence: 99%

Multicriteria Decision-Making Method for Sustainable Site Location of Post-Disaster Temporary Housing in Urban Areas

Hosseini

Fuente

Pons

2016

J. Constr. Eng. Manage.

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Many people lose their homes around the world every year because of natural disasters, such as earthquakes, tsunamis, and hurricanes. In the aftermath of a natural disaster, the displaced people (DP) have to move to temporary housing (TH) and do not have the ability to choose the settlement dimensions, distributions, neighborhood, or other characteristics of their TH. Additionally, post-disaster settlement construction causes neighborhood changes, environmental degradation, and large-scale public expenditures. This paper presents a new model to support decision makers in choosing site locations for TH. The model is capable of determining the optimal site location based on the integration of economic, social, and environmental aspects into the whole life cycle of these houses. The integrated value model for sustainable assessment (MIVES), a multicriteria decision making (MCDM) model, is used to assess the sustainability of the aforementioned aspects, and MIVES includes the value function concept, which permits indicator homogenization by taking into account the satisfaction of the involved stakeholders.

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Optimizing Large-Scale Temporary Housing Arrangements after Natural Disasters

Cited by 40 publications

References 9 publications

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

Developing an Agent-Based Simulation System for Post-Earthquake Operations in Uncertainty Conditions: A Proposed Method for Collaboration among Agents

A combination of the Knapsack algorithm and MIVES for choosing optimal temporary housing site locations: A case study in Tehran

Multicriteria Decision-Making Method for Sustainable Site Location of Post-Disaster Temporary Housing in Urban Areas

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