Sustainable Disaster Recovery through Integrating Stakeholders' Preferences and the Host Community's Environmental Vulnerability
Abstract
Our built environment and communities are facing an increasing rate and magnitude of natural disaster. Accordingly, the different stakeholders are concerned about their investments' vulnerability. This requires a new generation of decision support tools that integrate the host community's vulnerability assessment while taking into account the stakeholders' interactions, needs, and preferences. This paper develops a prototype agent based model that utilizes an environmental vulnerability indicator to better guide the decision making process of the interrelated stakeholders. The four step researched methodology incorporates: (1) implementing an environmental vulnerability assessment tool; (2) developing the different stakeholders' objective functions, potential strategies, and learning behaviors; (3) creating an interdependent agent based model that simulates the associated stakeholders and the vulnerability indicator; and (4) interpreting and analyzing the results generated from the developed model. The proposed prototype model was developed and tested on the post-Katrina development in three coastal Mississippi counties. The model optimized the different stakeholders' decision actions that increased their individual utility functions and decreased the host community vulnerability. This research approach should collectively maximizes the host community welfare and decreasing its environmental vulnerability, thus, achieving a sustainable disaster recovery.
Recommended Citation
M. S. Eid and I. H. El-adaway, "Sustainable Disaster Recovery through Integrating Stakeholders' Preferences and the Host Community's Environmental Vulnerability," Proceedings of the 2016 Construction Research Congress (2016, San Juan, Puerto Rico), pp. 1658 - 1668, American Society of Civil Engineers (ASCE), Jun 2016.
The definitive version is available at https://doi.org/10.1061/9780784479827.166
Meeting Name
Construction Research Congress 2016: Old and New Construction Technologies Converge in Historic San Juan, CRC 2016 (2016: May 31-Jun. 2, San Juan, Puerto Rico)
Department(s)
Civil, Architectural and Environmental Engineering
Keywords and Phrases
Autonomous agents; Computational methods; Decision making; Decision support systems; Disasters, Community vulnerability; Decision making process; Decision support tools; Environmental vulnerability; Objective functions; Utility functions; Vulnerability assessments; Vulnerability indicators, Sustainable development
International Standard Book Number (ISBN)
978-078447982-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2016 American Society of Civil Engineers (ASCE), All rights reserved.
Publication Date
01 Jun 2016