A New Approach for Measuring the Resilience of Transport Infrastructure Networks

Abstract

Resilience is an important property of transport infrastructure networks. Resilient transport infrastructure networks can retain the performance in case of disturbances and quickly recover to the original performance level after the disturbances. This study proposes a new approach that can measure the resilience of transport infrastructure networks. The new approach gives a unified conceptual framework for measuring the resilience of transport infrastructure networks. A network simulation-based method is used to analyze the influential factors of transport infrastructure network resilience. A new measuring method is developed based on network diversity characteristic to quantitatively measure the system resilience and node resilience of transport infrastructure networks. China railway and air transport networks are selected as a case study to applicability of new approach. This new approach provides strong supports for academic and industrial fields to measure, analyze, enhance, and optimize the resilience of transport infrastructure networks.

Analyzing the Formation Mechanism of Cross-City Transportation Network Resilience

“…In this section, China railway network is selected as a case study for testing formation mechanism of cross-city transportation network resilience proposed in this study. China railway network is constructed according to the following rules [13,50]:…”

“…Existing research studies on resilience management of cross-city transportation networks have found that local disturbances faced by regional transportation network will be amplified and become common disturbances by crosscity transportation [3,13]. Due to the difficulty of data acquisition, the research object of cross-city transportation network resilience management is mainly a single category of cross-city transportation, such as railway network and highway network [14][15][16][17][18].…”

“…Research contents of previous research studies are mainly based on the assessment methods of cross-city transportation network resilience [26]. e formation mechanism of cross-city transportation network resilience has not received enough attention in previous research studies [13,27].…”

Simulation of transportation infrastructures resilience: a comprehensive review

“…TIs are highly vulnerable when facing the influence of natural disasters and man-made attacks (Liao et al, 2018). In recent years, various natural hazards and manmade factors such as hurricanes, tornadoes, earthquakes, tsunamis, and terrorist attacks occurred all over the world, exerting extremely negative impacts on the performance of TIs (Ghosn et al, 2016;Fiorillo and Ghosn, 2018;Twumasi-Boakye and Sobanjo, 2018), leading to the disruption or failure of TIs (Bocchini et al, 2014;Wang et al, 2020b;Alipour and Shafei, 2016), and hindering the development of societies and communities (Yang et al, 2019). For instance, The 2008 Wenchuan earthquake in China caused more than 15,000 landslides, killing more than 20,000 people, blocking or destroying highways and bridges, and cutting off many cities and towns (Tang et al, 2011;Argyroudis et al, 2020).…”

“…For example, some researchers used Monte Carlo simulation to generate various disaster scenarios to study the resilience of TI and formulate corresponding recovery plans Hong et al, 2015;Wisetjindawat et al, 2017). Some researchers adopted network-based simulation methods to describe the physical and connection relationships between TI components (Chopra et al, 2016), analyze the influencing factors of the resilience of TI (Wang et al, 2020b), and propose hazard responses as well as recovery strategies (Bhatia et al, 2015;Aydin et al, 2018a). In addition, some researchers carried out numerical simulation to simulate the inoperability between various elements of the TI (Adjetey-Bahun et al, 2016;Beheshtian et al, 2018b).…”