Investing for Reliability and Security in Transportation Networks
Alternative transportation investment policies can lead to very different network forms in the future. The desirability of a transportation network should be assessed not only by its economic efficiency but also by its reliability and security, because the cost of an incidental capacity loss in a road network can be massive. This research concerns how investment rules shape the hierarchical structure of roads and affect network fragility to natural disasters, congestion, and accidents and vulnerability to targeted attacks. A microscopic network growth model predicts the equilibrium road networks under two alternative policy scenarios: investment based on beneÞtÐcost analysis and investment based on bottleneck removal. A set of Monte Carlo simulation runs, in which a certain percentage of links was removed according to the type of network degradation analyzed, was carried out to evaluate the equilibrium road networks. It was found that a hierarchy existed in road networks for reasons such as economic efficiency but that an overly hierarchical structure had serious reliability problems. Throughout the equilibrating or evolution process, the grid network studied under beneÞtÐcost analysis had better efficiency performance, as well as error and attack tolerance. The paper demonstrates that reliability and security considerations can be integrated into the planning of transportation systems.
|Date of creation:||2005|
|Date of revision:|
|Publication status:||Published in Transportation Research Record: Journal of the Transportation Research Board Volume 2041 Pages 1-10.|
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- Dickerson, Andrew & Peirson, John & Vickerman, Roger, 2000.
"Road Accidents and Traffic Flows: An Econometric Investigation,"
London School of Economics and Political Science, vol. 67(265), pages 101-21, February.
- Andrew Dickerson & John Peirson & Roger Vickerman, 1998. "Road Accidents and Traffic Flows: An Econometric Investigation," Studies in Economics 9809, School of Economics, University of Kent.
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