2013
DOI: 10.5399/osu/jtrf.52.2.4174
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U.S. and European Freight Railways: The Differences That Matter

Abstract: This paper examines the differences between the United States (U.S.) and European (EU27) freight railways. The inherent or structural factors influencing the railways modal share will be evaluated. It was found that nearly all of the disparity in modal share can be explained by structural or inherent differences, like the competitiveness of non-surface modes, shipment distances (both influenced by geography), and commodity mix (namely, coal). More striking are the differences in productivity, to move the same … Show more

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Cited by 3 publications
(6 citation statements)
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“…In Europe, the structured method of operation applies to all train types, including heavy haul freight trains. 7…”
Section: Introductionmentioning
confidence: 99%
“…In Europe, the structured method of operation applies to all train types, including heavy haul freight trains. 7…”
Section: Introductionmentioning
confidence: 99%
“…This hypothesis is also put forward given the general attitude that the number of employees in public companies is too large (Bartel & Harrison, 1999; Giordano, Lanau, Tommasino, & Topalova, 2020). Furthermore, the railways in the United States show higher profitability with fewer workers for the same performance (Furtado & Bastos, 2013). Therefore, as expected, the effect of the number of employees should hurt profitability.…”
Section: Methodsmentioning
confidence: 55%
“…The fragmentation significantly affects flexibility and increases freight transport costs (Tomes, 2008). The segmentation of the market in the European Union compared to the United States results in the average use of 7 times more wagons for the same amount of goods transported (Furtado & Bastos, 2013). Although the share of railways fell in the second half of the 20 th century, the connection between the country's economic development and the introduction of railways is still present.…”
Section: Literature Overviewmentioning
confidence: 99%
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“…Chapuis [32] used artificial neural networks to predict arrival times of frequent passenger trains using historical train and station delays. Compared to the proposed work, the ETAs were evaluated in the Netherlands and France, respectively, on high priority passenger traffic [33,34], which also operates with higher punctuality compared to the freight or passenger traffic in the US [35]. Wang and Work [26] estimate passenger rail delays on the Amtrak passenger rail network in the US using vector regression techniques and only historical runtimes between passenger stations.…”
Section: Related Workmentioning
confidence: 99%