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A method for processing the Confidential Carload Waybill Sample for railroad freight analysis

Author

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  • Fialkoff, Marc R.
  • Hancock, Kathleen L.
  • Peterson, Steven K.

Abstract

Freight transportation research is often constrained by the availability of useful data. In the context of freight rail research, traditional freight data sets do not provide sufficient resolution for detailed analysis of railroad freight flows. In addition to aggregated data, the complexity of railroad operations limits the usability of publicly available freight flow data. As part of their regulatory authority, the Surface Transportation has maintained the Confidential Carload Waybill Sample, a stratified sample representing 1%–3% of all railroad traffic in the United States for a year. Although rich with data, the Waybill Sample data requires pre-processing before it can be used for most analysis and visualization. Given this challenge, this paper introduces a tested method to extract, clean, and structure the Waybill Sample for subsequent visualization on a railroad network. The proposed method provides a reproducible approach for enhancing the Waybill Sample for use in railroad freight analysis.

Suggested Citation

  • Fialkoff, Marc R. & Hancock, Kathleen L. & Peterson, Steven K., 2018. "A method for processing the Confidential Carload Waybill Sample for railroad freight analysis," Research in Transportation Economics, Elsevier, vol. 71(C), pages 34-43.
  • Handle: RePEc:eee:retrec:v:71:y:2018:i:c:p:34-43
    DOI: 10.1016/j.retrec.2018.10.004
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    References listed on IDEAS

    as
    1. Fialkoff, Marc R. & Omitaomu, Olufemi A. & Peterson, Steven K. & Tuttle, Mark A., 2017. "Using geographic information science to evaluate legal restrictions on freight transportation routing in disruptive scenarios," International Journal of Critical Infrastructure Protection, Elsevier, vol. 17(C), pages 60-74.
    2. Krier, Betty & Liu, Chia-Mei & McNamara, Brian & Sharpe, Jerrod, 2014. "Individual freight effects, capacity utilization, and Amtrak service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 163-175.
    3. Steven K. Peterson & Richard L. Church, 2008. "A Framework for Modeling Rail Transport Vulnerability," Growth and Change, Wiley Blackwell, vol. 39(4), pages 617-641, December.
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    5. Niérat, Patrick, 1997. "Market area of rail-truck terminals: Pertinence of the spatial theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 31(2), pages 109-127, March.
    6. Carlos F. Daganzo, 1987. "The Break-Bulk Role of Terminals in Many-to-Many Logistic Networks," Operations Research, INFORMS, vol. 35(4), pages 543-555, August.
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    More about this item

    Keywords

    Origin-destination matrix; Railroads; Rail network; Waybills;
    All these keywords.

    JEL classification:

    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R49 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Other
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation

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