Road Prioritization for the Reconstruction of an Area Affected by a Disaster

Lorena S. Reyes-Rubiano () and Elyn Solano-Charris ()
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Lorena S. Reyes-Rubiano: Universidad de La Sabana
Elyn Solano-Charris: Universidad de La Sabana

A chapter in Operations Research and Analytics in Latin America, 2023, pp 127-136 from Springer

Abstract: Abstract In this paper, we consider the problem of prioritization of road reconstruction in a disaster-affected rural network. We propose a solution based on a labeled network that aims to maximize the accessibility to victim locations. The proposed solution approach uses a labeled network in which the edges have an assigned priority. The labeled network refers to the road network, where each road edge has a value representing the road prioritization for recovery. We propose two criteria, road travel time and connectivity, to determine which roads should first be recovered to improve road access to victim locations. We present numerical studies using artificial instances with different disruption levels. The results indicate that the best prioritization criteria depend on the location of the disaster management center and disruption level. In addition, this paper provides insights on using flow network properties to design criteria for considering the structure of the damaged road network.

Keywords: Labeled network; Road recovery; Road accessibility; Connectivity; Node degree (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-3-031-28870-8_10

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