A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network

被引:15
|
作者
Darayi, Mohamad [1 ]
Barker, Kash [2 ]
Nicholson, Charles D. [2 ]
机构
[1] Penn State Univ, Great Valley Sch Grad Profess Studies, Syst Engn, University Pk, PA 16802 USA
[2] Univ Oklahoma, Sch Ind & Syst Engn, 202 W Boyd St,Room 124, Norman, OK 73019 USA
基金
美国国家科学基金会;
关键词
Adaptive capacity; Multi-industry impact; Freight transportation; Network resilience; INPUT-OUTPUT MODEL; INTERDEPENDENT INFRASTRUCTURE; VULNERABILITY ASSESSMENT; RESILIENCE; INOPERABILITY; DISRUPTIONS; SYSTEMS; METRICS;
D O I
10.1016/j.ijpe.2018.12.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:356 / 368
页数:13
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