A multi-industry economic impact perspective on adaptive capacity planning in a freight transportation network
| Autor: | Charles Nicholson, Mohamad Darayi, Kash Barker |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Economics and Econometrics
Transportation planning Adaptive capacity 021103 operations research media_common.quotation_subject 05 social sciences Commodity 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Environmental economics Flow network General Business Management and Accounting Industrial and Manufacturing Engineering ComputingMilieux_GENERAL Interdependence Work (electrical) 0502 economics and business Key (cryptography) Business Economic impact analysis 050203 business & management media_common |
| Zdroj: | International Journal of Production Economics. 208:356-368 |
| ISSN: | 0925-5273 |
| DOI: | 10.1016/j.ijpe.2018.12.008 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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