TY - JOUR
T1 - A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network
AU - Darayi, Mohamad
AU - Barker, Kash
AU - Nicholson, Charles D.
N1 - Funding Information:
This work was partially supported by the National Science Foundation through award 1361116 and the Southern Plains Transportation Center under the University Transportation Center grant ( DTRT13-G-UTC36 ) from the U.S. Department of Transportation.
Funding Information:
This work was partially supported by the National Science Foundation through award 1361116 and the Southern Plains Transportation Center under the University Transportation Center grant (DTRT13-G-UTC36) from the U.S. Department of Transportation.
Publisher Copyright:
© 2018 Elsevier B.V.
PY - 2019/2
Y1 - 2019/2
N2 - The multi-modal freight transportation network plays a vital role in maintaining commodity flows across multiple industries and multiple regions. As such, the effects of large-scale disruptive events could result in the closure of key transportation nodes and links, causing disruptions in commodity flows and larger disruptions to industries requiring those commodities for economic productivity. This work integrates a multi-commodity network flow formulation with an economic interdependency model to quantify the multi-industry impacts of a disrupted transportation network to devise contingent rerouting plans to strengthen the network's adaptive capacity. The formulation proposed here is illustrated with a freight transportation planning case study in the state of Oklahoma, considering disruptive scenarios in which a network component is lost and how the proposed approach improves total economic productivity following a disruption.
AB - The multi-modal freight transportation network plays a vital role in maintaining commodity flows across multiple industries and multiple regions. As such, the effects of large-scale disruptive events could result in the closure of key transportation nodes and links, causing disruptions in commodity flows and larger disruptions to industries requiring those commodities for economic productivity. This work integrates a multi-commodity network flow formulation with an economic interdependency model to quantify the multi-industry impacts of a disrupted transportation network to devise contingent rerouting plans to strengthen the network's adaptive capacity. The formulation proposed here is illustrated with a freight transportation planning case study in the state of Oklahoma, considering disruptive scenarios in which a network component is lost and how the proposed approach improves total economic productivity following a disruption.
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U2 - 10.1016/j.ijpe.2018.12.008
DO - 10.1016/j.ijpe.2018.12.008
M3 - Article
AN - SCOPUS:85059328401
SN - 0925-5273
VL - 208
SP - 356
EP - 368
JO - International Journal of Production Economics
JF - International Journal of Production Economics
ER -
