A New Approach for Measuring the Resilience of Transport Infrastructure Networks

Liang Wang,Xun Zhou,Xiaolong Xue

doi:10.1155/2020/7952309

Liang Wang, Xun Zhou + Show 1 more

Open Access

https://doi.org/10.1155/2020/7952309

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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.

Highlights

Compared to other types of critical infrastructure systems, transport infrastructure systems exhibit significant socialtechnology system characteristics [1]
To bridge the above research gaps, this study proposes a new approach that can measure the resilience of transport infrastructure networks. is new approach gives a unified conceptual framework for different categories of transport infrastructure networks
System Resilience Analysis. e system resilience of China railway network and that of air transport networks are analyzed from the perspective of network structure characteristic. e system resilience is quantitatively calculated using the proposed measuring method. e degrees of nodes in China railway and air transport networks are divided into intervals of 100 and 10, respectively

Summary

Introduction

Compared to other types of critical infrastructure systems, transport infrastructure systems exhibit significant socialtechnology system characteristics [1]. As mega-projects and complex systems, transport infrastructure systems have a high degree of physical complexity and system complexity [2]. Many external disturbances and disasters have negative impacts on the performance of transport infrastructure network and can lead to the disruption or failure of transport infrastructure network [4,5,6,7,8]. Transport infrastructure network still faces significant challenges in enhancing resilience to various natural hazards and manmade threats. Due to the interactions between these components, disruptions or failure of a single component in a transport network might lead to cascading failures in other components. An impact to a single node or link can result in important economic and physical damage at a citywide, regional, national, or even international scale [9]

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