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Vulnerability analysis of cut-capacity structure and OD demand using Gomory-Hu tree method.
- Source :
-
Transportation Research Part B: Methodological . Nov2021, Vol. 153, p111-127. 17p. - Publication Year :
- 2021
-
Abstract
- • Two vulnerability indicators based on the capacity of a cut are proposed. • Our indicator not only considers the capacity of the cut but also accounts for the demand passing through the cut. • We provide the GomoryHu tree method to generate all the minimum cuts in the network and evaluate them with two indicators. • We apply the proposed methods to the road network of central region in Japan and specify the high-vulnerable cuts. Vulnerability analysis of transportation networks has rapidly become important in recent decades given the increasing numbers of transportation disasters. In this paper, we describe a method for calculating the minimum cuts between all pairs of nodes in a transportation network and develop two indices for analyzing vulnerability; these are derived from topology-based vulnerability/demand-accountable analyses and enable evaluation of cuts without assuming route-choice behaviors. We show that such analyses can be performed using a Gomory–Hu tree to reduce the computational load. This method is efficient, requiring only N − 1 calculations of the maximum flow problem even though the number of node pairs is N 2, where N is the number of nodes. In addition, we show that the total demand passing each minimum cut, which is necessary for demand-accountable analysis, can be obtained by network loading onto the tree using the Gomory–Hu tree features. We apply the proposed method to the central region of Japan to illustrate the applicability of the two indices for identifying vulnerable links in the road network. [ABSTRACT FROM AUTHOR]
- Subjects :
- *TREES
*MAXIMA & minima
*DISASTERS
Subjects
Details
- Language :
- English
- ISSN :
- 01912615
- Volume :
- 153
- Database :
- Academic Search Index
- Journal :
- Transportation Research Part B: Methodological
- Publication Type :
- Academic Journal
- Accession number :
- 153239279
- Full Text :
- https://doi.org/10.1016/j.trb.2021.08.013