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An analytics approach to dis-aggregate national freight data to estimate hazmat traffic on rail-links and at rail-yards in Canada

机译:一种用于分解国家货运数据的分析方法,以估计加拿大铁路线和铁路场站的危险品运输量

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摘要

Numerous research initiatives have been undertaken in the risk assessment and risk management of rail hazardous materials (hazmat) transportation. However, the true benefits could not be demonstrated because of the absence of rail-link and rail-yard level information about hazmat volume. We propose an analytics based methodology to estimate yard and link level data, which is applied to the railroad network in Canada. The proposed methodology was used to solve numerous problem instances for the three chosen classes of hazmat responsible for moving over 80% of hazmat shipments in Canada. The exercise enabled us to identify the hot-spots in the railroad network, to examine the changes in the volume-based ranking of various rail-yards and rail-links as a result of geographical shifts in hazmat supplies over the next decade, and to investigate the impact of new pipeline projects on rail crude oil shipments.
机译:在铁路危险品(危险品)运输的风险评估和风险管理方面已经采取了许多研究措施。但是,由于缺乏有关危险品体积的铁路链接和铁路货场水平信息,因此无法证明真正的好处。我们提出了一种基于分析的方法来估算堆场和链路水平数据,该方法已应用于加拿大的铁路网络。拟议的方法论用于解决三种危险品类别的众多问题实例,这些类别的危险品负责运送加拿大80%以上的危险品运输。这次练习使我们能够确定铁路网中的热点,研究由于未来十年危险品供应的地理变化而导致的各种铁路场和铁路连接线的数量排名变化,并调查新的管道项目对铁路原油运输的影响。

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