DocumentCode
1426594
Title
Resilience and Friability of Transportation Networks: Evaluation, Analysis and Optimization
Author
Ip, W.H. ; Dingwei Wang
Author_Institution
Dept. of Ind. & Syst. Eng., Hong Kong Polytech. Univ., Kowloon, China
Volume
5
Issue
2
fYear
2011
fDate
6/1/2011 12:00:00 AM
Firstpage
189
Lastpage
198
Abstract
To analyze the resilience of transportation networks, it is proposed to use a quantifiable resilience evaluation approach. First, we represent transportation networks by an undirected graph with the nodes as cities and edges as traffic roads. Because the survivability of transportation of a pair of cities depends on the number of passageways between them, the resilience of a city node can be evaluated by the weighted average number of reliable passageways with all other city nodes in the network. The network resilience can then be calculated by the weighted sum of the resilience of all nodes. To identify critical road lines or hub cities in networks, the concept of friability is proposed. This is defined as the reduction in total resilience upon removing an edge or hub city. Following the resilience and friability evaluation, a structure optimization model with a computational algorithm for transportation network design is recommended. Based on the recommended approaches, the resilience and friability of the railway network within the Chinese mainland is evaluated and analyzed. Several interesting conclusions are drawn from the computational results. The friability value of the railway lines in the Sichuan Basin which was damaged by the recent earthquake in China was also calculated.
Keywords
graph theory; optimisation; railways; transportation; Chinese mainland; Sichuan Basin; computational algorithm; quantifiable resilience evaluation approach; railway network; structure optimization model; transportation network friability; transportation network resilience; undirected graph; Cities and towns; Logistics; Rail transportation; Reliability; Resilience; Roads; Performance evaluation; railway systems; resilience engineering; resource optimization; risk management; transportation networks;
fLanguage
English
Journal_Title
Systems Journal, IEEE
Publisher
ieee
ISSN
1932-8184
Type
jour
DOI
10.1109/JSYST.2010.2096670
Filename
5688189
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