Chapter
Aug 31, 2020
International Conference on Transportation and Development 2020

Segmented Identification of Disruptive Settings on Transportation Corridors

Publication: International Conference on Transportation and Development 2020

ABSTRACT

Logistics systems operations, such as intermodal container shipping, are subject to the use of transportation corridors with inherent factors related to the safe, reliable, and efficient movement of freight. Risk analysis and resource allocation of freight operations must consider a diverse set of corridor attributes, system goals, and impacts of future and emergent conditions on operational priorities. A corridor trace analysis method is developed to explore the impact of inland waterway corridor factors on system performance. Transportation corridors are segmented into system-appropriate intervals. Each segment is evaluated using a number of attributes and performance metrics. Segments with potential to pose greatest disruption to operations are identified through a multifactor analysis of dynamic attributes that vary along the length of the corridor and across temporal domains. The methodology is demonstrated for maritime corridors necessary for the movement of containers through harbor terminals to inland terminals for a marine container port in the United States. The approach is of interest to enterprises utilizing transportation networks for the movement of freight, equipment, or personnel.

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Go to International Conference on Transportation and Development 2020
International Conference on Transportation and Development 2020
Pages: 147 - 158
Editor: Guohui Zhang, Ph.D., University of Hawaii
ISBN (Online): 978-0-7844-8315-2

History

Published online: Aug 31, 2020
Published in print: Aug 31, 2020

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Authors

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Daniel J. Andrews [email protected]
1Center for Risk Management of Engineering Systems, Dept. of Engineering Systems and Environment, Univ. of Virginia, Charlottesville, VA. Email: [email protected]
Cody A. Pennetti, M.ASCE [email protected]
P.E.
2Center for Risk Management of Engineering Systems, Dept. of Engineering Systems and Environment, Univ. of Virginia, Charlottesville, VA. Email: [email protected]
Zachary A. Collier, Ph.D. [email protected]
3Collier Research Systems, Charlottesville, VA. Email: [email protected]
Thomas L. Polmateer [email protected]
4Center for Risk Management of Engineering Systems, Dept. of Engineering Systems and Environment, Univ. of Virginia, Charlottesville, VA. Email: [email protected]
James H. Lambert, Ph.D., F.ASCE [email protected]
P.E.
D.WRE
5Center for Risk Management of Engineering Systems, Dept. of Engineering Systems and Environment, Univ. of Virginia, Charlottesville, VA. Email: [email protected]

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