Robustness Assessment of Urban Road Network with Consideration of Multiple Hazard Events
Journal
Risk Analysis
Journal Volume
37
Journal Issue
8
Pages
1477-1494
Date Issued
2017
Author(s)
Abstract
Robustness measures a system's ability of being insensitive to disturbances. Previous studies assessed the robustness of transportation networks to a single disturbance without considering simultaneously happening multiple events. The purpose of this article is to address this problem and propose a new framework to assess the robustness of an urban transportation network. The framework consists of two layers. The upper layer is to define the robustness index based on the impact evaluation in different scenarios obtained from the lower layer, whereas the lower layer is to evaluate the performance of each hypothetical disrupted road network given by the upper layer. The upper layer has two varieties, that is, robustness against random failure and robustness against intentional attacks. This robustness measurement framework is validated by application to a real-world urban road network in Hong Kong. The results show that the robustness of a transport network with consideration of multiple events is quite different from and more comprehensive than that with consideration of only a single disruption. We also propose a Monte Carlo method and a heuristic algorithm to handle different scenarios with multiple hazard events, which is proved to be quite efficient. This methodology can also be applied to conduct risk analysis of other systems where multiple failures or disruptions exist. © 2017 Society for Risk Analysis
Subjects
Heuristic algorithm; Monte Carlo; multiple hazard events; probability theory; robustness assessment; transportation system
SDGs
Other Subjects
Hazards; Heuristic algorithms; Heuristic methods; Monte Carlo methods; Probability; Risk analysis; Risk assessment; Roads and streets; Robustness (control systems); Transportation; Transportation routes; Multiple hazards; Probability theory; Robustness assessment; Robustness measurements; Transportation network; Transportation system; Urban road networks; Urban transportation networks; Urban transportation; algorithm; assessment method; disturbance; heuristics; Monte Carlo analysis; probability; risk assessment; road; road transport; transportation system; China; Hong Kong; article; computer heuristics; Hong Kong; Monte Carlo method; probability theory; risk assessment
Type
journal article