Dynamic impacts of commodity flow disruptions in inland waterway networks
Dynamic impacts of commodity flow disruptions in inland waterway networks
复制标题
内陆水道网络中商品流动中断的动态影响
DOI：
10.1016/j.cie.2014.11.016
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
T. L. Landers
中科院分区：
文献类型：
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作者：
R. Pant;K. Barker;T. L. Landers
预计到2035年，美国的货运和客运将大幅增长，这为更多地使用内河驳船运输提供了强有力的理由。内河航道网络是美国多式联运基础设施的重要组成部分，跨越38个州的25，000英里的通航路线。基于风险的内河航道网络备灾规划需要有一种手段来评估与内河航道基础设施关闭相关的相互依赖的影响。本研究提出了一个动态的框架，以评估多地区，多行业的损失，由于水路网络，包括港口和水路连接中断。我们研究了模拟驱动的破坏性场景，如码头关闭，影响整个水路网络的日常商业，并与动态相互依赖模型相结合，以量化中断对多个地区和多个行业的行业不可操作性的影响。我们实施我们的框架与数据驱动的案例研究的业务在卡托萨港的麦克莱伦-克尔阿肯色州河分支的密西西比河航运系统。由此产生的特定于码头、特定于行业和特定于区域的见解可以指导准备决策。
Freight and passenger transport in the US is projected to increase substantially by 2035 making a strong case for greater usage of the inland waterway barge transport. Inland waterway networks constitute an important component of the US multi-modal transport infrastructure spanning 25,000 miles of navigable routes across 38 states. Risk-based preparedness planning for inland waterway networks requires a means to assess the interdependent impacts associated with closures to inland waterway infrastructure. This study proposes a dynamic framework to assess multi-regional, multi-industry losses due to disruptions on the waterway networks, including ports and waterway links. We investigate simulation-driven disruptive scenarios, such as dock closures, that affect daily commerce across the waterway network and integrate with a dynamic interdependency model to quantify the effect of disruptions on industry inoperability across multiple regions and multiple industries. We implement our framework with a data-driven case study of the operations at the Port of Catoosa on the McClellan–Kerr Arkansas River branch of the Mississippi River Navigation System. Resulting dock-specific, industry-specific, and region-specific insights can guide preparedness decision making.