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Trends and gaps in the literature of road network repair and restoration in the context of disaster response operations
Natural and man-made disasters can disrupt road networks. The post-disaster period is usually divided into short and long-term response phases. In the short-term phase, blocked roads can jeopardize emergency operations such as search-and-rescue, evacuation of victims, and the distribution of emergen...
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Published in: | Socio-economic planning sciences 2022-12, Vol.84, p.101398, Article 101398 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Natural and man-made disasters can disrupt road networks. The post-disaster period is usually divided into short and long-term response phases. In the short-term phase, blocked roads can jeopardize emergency operations such as search-and-rescue, evacuation of victims, and the distribution of emergency supplies. The detritus may pose an environmental challenge in the long-term, as the rubble must be properly collected, disposed of, and recycled. Optimization models designed to schedule repair and restoration activities and determine the repair crews' routes are helpful to give insights to decision-makers on how to improve emergency response plans. This article presents a literature review on short and long-term network models designed for roads repair and restoration. This review identifies the trends in publications, solution approaches, frequency of locations and type of disaster in the case studies, and the size of the networks. In addition, a qualitative analysis of the models’ characteristics, such as the type of network, uncertainties, and interdependencies, is presented. A discussion is provided to indicate future research directions. Among these, future research should focus on the combination of roads repair and restoration with other emergency activities such as relief distribution.
•A review of road network restoration and recovery models in the context of natural disasters is presented.•Mixed Integer Programming and Genetic Algorithms are the most used solution methods.•The applications are mainly on earthquake scenarios in the United States, China, and Turkey.•Road network repair and restoration models combined with other emergency operations is an emerging research direction.•Based on the identified trends, several research directions are proposed to advance the field. |
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ISSN: | 0038-0121 1873-6041 |
DOI: | 10.1016/j.seps.2022.101398 |