Please use this identifier to cite or link to this item:
Title: Network evaluation based on connectivity vulnerability
Authors: Kurauchi, F
Uno, N
Sumalee, A 
Seto, Y
Issue Date: 2009
Publisher: Springer
Source: In WHK Lam, SC Wong & HK Lo (Eds.), Transportation and traffic theory 2009 : Golden Jubilee : papers selected for presentation at ISTTT18, a peer reviewed series since 1959, p. 637-649. Dordrecht ; New York: Springer, 2009 How to cite?
Abstract: Network reliability indices are generally expressed as a multiplier of the probability that the specific event may occur and the consequence of the event. It means that an inaccurate estimation of the probability of event occurrence may lead to different evaluation of the reliability. In contrast, the concept of “network vulnerability” has been proposed for evaluating the network component only by the consequence of the degradation. Though the concept of vulnerability may have avoided the uncertainty of the capacity degradation, it still requires an exact measurement of the traffic demand in the network which may not be accurate especially in the case of the disaster. We thus propose the method of critical link identification from the topological point of view, i.e., connectivity vulnerability. The concept of the k-edge-connectivity is applied in this study. The number of distinct paths with acceptable travel time between each origin-destination (OD) pair is used to measure the connectivity of that OD pair (similar to the concept of k-edge connectivity). A mathematical program for identifying acceptable distinct paths between each OD pair is formulated. The proposed method and indicator of connectivity vulnerability is then tested with the Kansai road network.
Description: The 18th International Symposium on Transportation and Traffic Theory (ISTTT), held at the The Hong Kong Polytechnic University in Hong Kong, China on 16-18 July 2009
ISBN: 9781441908209 (electronic bk.)
9781441908193 (print)
DOI: 10.1007/978-1-4419-0820-9_31
Appears in Collections:Book Chapter

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Jul 12, 2018

Page view(s)

Last Week
Last month
Citations as of Jul 16, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.