Quantifying freight flow disruption risks from railroad accidents

Raj Bridgelall () and Denver D. Tolliver ()
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Raj Bridgelall: North Dakota State University
Denver D. Tolliver: North Dakota State University

Quality & Quantity: International Journal of Methodology, 2024, vol. 58, issue 2, No 43, 1993-2007

Abstract: Abstract Workforce shortages during the COVID-19 pandemic and the recent threat of railroad strike in the United States have generated greater public awareness of how freight flow disruptions can harm society. Unlike highways, trains often do not have the ability to take alternative routes that directly connect major metropolitan areas; hence railroad networks are vulnerable to disruptions like accidents. This study developed a data mining workflow to rank commodity movements that are at the highest risk of disruption from railroad accidents and other types of regional disasters that can affect railroad operations. A key finding is that five U.S. metropolitan areas are at least five times more likely than others to experience a railroad accident. Those five areas account for more than 40% of the monetary value in alcoholic beverages, raw meats, gasoline, plastic-based products, and rubber-based products moved by rail. Hence, any disruption in those five areas can lead to widespread shortages of those commodities. The implication is that decision makers should focus risk mitigation and resiliency strategies in those five metropolitan areas and on the top commodity categories at risk.

Keywords: Capacity disruption; Commodity flows; Risk assessment; Risk management; Supply chain resilience; Sustainable supply chains (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11135-023-01727-3

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