Abstract
As natural and human-induced disasters have increased in recent years in number, magnitude, and impacts, the frequency of evacuation orders is expected to be accordingly raised in the future. Practice has shown, however, that many times, the respective operations face impediments, thus indicating the need for efficient tools to facilitate them. Intelligent transportation systems (ITS) have been recognized as a promising strategy in this direction. In this context, this study presents a comprehensive overview of current practices and research efforts regarding the use of ITS in real-time evacuation operations; the scope is to synthesize and critically discuss the state of the practice and state of the art on ITS-assisted decision making in evacuation management. Emphasis is placed on the modeling tools required for adequate representation of real-time evacuation conditions and on the role of emerging technologies in this field. Research findings are analyzed, challenges faced by transportation authorities are identified, and promising future directions are proposed. The paper concludes with a sociobehavioral analysis of the role of information provision in disaster settings, discussing its influence and the possible implications and complications arising, as well as reviewing relevant research studies from the evacuation literature.
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Data Availability Statement
No data, models, or code were generated or used during the study.
Acknowledgments
This work is part of research financed by the Hellenic State Scholarships Foundation (IKY) and Siemens through the “Research Projects for Excellence IKY/Siemens” Grant, in the framework of the Hellenic Republic - Siemens Settlement Agreement. The authors would like to thank the three anonymous referees for their constructive comments and contribution toward improving this paper.
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Journal of Transportation Engineering, Part A: Systems
Volume 146 • Issue 4 • April 2020
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©2020 American Society of Civil Engineers.
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Received: Oct 15, 2017
Accepted: Sep 4, 2019
Published online: Jan 23, 2020
Published in print: Apr 1, 2020
Discussion open until: Jun 23, 2020
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