Modern Economy

Volume 10, Issue 4 (April 2019)

ISSN Print: 2152-7245   ISSN Online: 2152-7261

Google-based Impact Factor: 0.82  Citations  h5-index & Ranking

Variability of Track Investment with Traffic for Class I Railroads in the United States

HTML  XML Download Download as PDF (Size: 636KB)  PP. 1198-1210  
DOI: 10.4236/me.2019.104082    376 Downloads   588 Views  


Class I railroads operate more than 191,000 kilometers of rail line in the United States, in which they have invested $196 billion. Although these railroads are privately owned, they are regulated by the US Surface Transportation Board (STB). Some of the cost factors used by the STB in decision making are based on data from 68 to 80 years ago. These factors were developed in an era of stricter regulation, constrained business practices, low returns to investment, and lower traffic levels. In this study, new data and methods are used to assess the assumption that 50% of a railroad’s investment in basic track components (such as rails, ties, and ballast) is fixed with respect to traffic. Investments in these assets are modeled as a function of traffic density, using 33 years of data for Class I railroads. A model is formulated that includes fixed effects and isolates the variation of track investment with gross tonne-kilometers. In this study, track investments are shown to be highly variable with traffic density: more so than is currently assumed. This finding has implications for regulatory practice. The 50% variable factor is used in formulas to determine if the STB has jurisdiction over a rate and, in some cases, whether the rate is reasonable.

Share and Cite:

Tolliver, D. and Lu, P. (2019) Variability of Track Investment with Traffic for Class I Railroads in the United States. Modern Economy, 10, 1198-1210. doi: 10.4236/me.2019.104082.

Cited by

No relevant information.

Copyright © 2021 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.