Analysis of transportation networks subject to natural hazards – Insights from a Colombian case

Abstract

This study provides an applied framework to derive the connectivity reliability and vulnerability of interurban transportation systems under network disruptions. The proposed model integrates statistical reliability analysis to find the reliability and vulnerability of transportation networks. Most of the modern research in this field has focused on urban transportation networks where the primary concerns are guaranteeing predefined standards of capacity and travel time. However, at a regional and national level, especially in developing countries, the connectivity of remote populations in the case of disaster is of utmost importance. The applicability of the framework is demonstrated with a case study in the state of Antioquia, Colombia, using historical records from the 2010-2011 rainy season, an aspect that stands out and gives additional support compared to previous studies that considers simulated data from assumed distributions. The results provide significant insights to practitioners and researchers for the design and management of transportation systems and route planning strategies under this type of disruptions.

Evaluation of port disruption impacts in the global liner shipping network

“…Previous studies focused on road networks lacking transport demand data (Bell et al 2017), subway networks under random failures (Angeloudis and Fisk 2006), country-level ocean container networks (Calatayud et al 2017) and power grids exposed to targeted attacks (Ouyang et al 2014). Comprehensive reviews of previous works on vulnerability assessment for various types of transport networks, disruption sources, and the evaluation of related terms such as resilience and reliability are also available (Mattsson and Jenelius 2015;Reggiani et al 2015;Hosseini et al 2016).…”

Fragility of transport assets exposed to multiple hazards: State-of-the-art review toward infrastructural resilience

“…Khademi et al (2015) reviewed the methods related to the vulnerability of transport networks due to natural disasters, concluding that accessibility indexes often serve as indicators of network vulnerability. Muriel-Villegas et al (2016) classified the available approaches for transport network reliability to natural disasters in three main areas, namely connectivity reliability, performance reliability, and vulnerability. An overview of network vulnerability analysis, classified to scenario-specific, strategy-specific, simulation, and mathematical modelling approaches is provided in Murray et al (2008), while the methods and challenges in modelling and simulation of interconnected infrastructure are discussed by Eusgeld et al (2011) and Ouyang (2014).…”

A Comprehensive Risk Analysis of Transportation Networks Affected by Rainfall‐Induced Multihazards

“…A criticality assessment of infrastructure network components enables the identification of components whose failure has a high potential to cause spreading effects on the overall system. The criticality level of a component depends on its role in the network structure and flow . In this study, three approaches are used to evaluate the criticality level of each component, namely, the edge betweenness method (i.e., topological criticality), network efficiency indices (i.e., efficiency criticality), and the input–output (I–O) modeling method (i.e., capacity criticality).…”