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Title: A Bilevel Stochastic Optimization Model to Enhance Transportation Network Survivability and Reduce Response Times Under Disasters
Accession Number: 01363216
Record Type: Component
Abstract: This paper addresses pre-disaster investment planning to enhance network survivability and reduce the post-disaster expected response time for transportation networks. The planning focuses on determining the links of the network to strengthen through investment under two types of uncertainties: the disaster characteristics, and the surviving network under each disaster. A bi-level stochastic optimization model is proposed in which link investment decisions are made at the upper level subject to a budget constraint to enhance the network survivability such that the expected post-disaster response time is minimized at the lower level. A two-stage heuristic algorithm is proposed to obtain “good” solutions efficiently. The numerical experiments indicate that the proposed heuristic algorithm converges to a fixed point representing a feasible solution of the bi-level stochastic optimization model. Parametric analyses reinforce the need for a holistic approach that integrates multiple relevant considerations to determine the link investment decisions.
Supplemental Notes: This paper was sponsored by TRB committee ADB00 Travel Analysis Methods
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-3532
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Pagination: 17p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References
TRT Terms: Subject Areas: Finance; Highways; Planning and Forecasting; Security and Emergencies
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-3532
Files: TRIS, TRB
Created Date: Feb 8 2012 5:17PM
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0000-0002-4146-6793