Interdependent impacts of inoperability at multi-modal transportation container terminals

This work describes the interdependent adverse effects of disruptive events on inter-regional commodity flows resulting from disruptions at an inland port terminal. To do so we integrate the risk-based Multi-Regional Inoperability Input–Output Model, which measures the cascading regional effects of disruptions to interconnected industries, with models, which simulate port operations such as commodity arrival, unloading, sorting, and distributing. Such models capture three disruption scenarios at the port and provide measures of impact to industries that use the inland port terminal facility. A case study highlights the disruptive effects of a closure of the Port of Catoosa in Oklahoma.

Research highlights
► We use multi-regional interdependency models for studying inland port disruptions.
► We build queuing models for port normal and disruptive supply chain operations.
► Port simulation provides parameters for the interdependency model.
► Our work quantifies impact of localized damage on interdependent economies.
► Study of interdependent multi-regional impacts benefit the risk management process.