Analysis of Surface Transportation Board Waybill Data for Freight Planning and Operations

Srivastava, Anupam; Perry, Ernest; Ahn, Soyoung

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Analysis of Surface Transportation Board Waybill Data for Freight Planning and Operations

2020-03-01
By Srivastava, Anupam ; Perry, Ernest ; Ahn, Soyoung

File Language:

English

Details

Creators:

Srivastava, Anupam ; Perry, Ernest ; Ahn, Soyoung
Corporate Creators:

Mid-America Freight Coalition
Corporate Contributors:

Wisconsin. Division of Transportation Investment Management
Subject/TRT Terms:
Publication/ Report Number:

WHRP 0092-18-01
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report 08/01/2019 – 08/31/2020
Corporate Publisher:

Mid-America Freight Coalition
Abstract:

There is an extensive range of available data for multimodal freight planning and operations decision-making. Even so, the freight data available is often inadequate for timely and precise analysis on modal freight movements due to numerous shortcomings in data sources, including sample size concerns, aggregation of information, precision and accuracy, timeliness, ownership and accessibility, and the alignment and scope of data for the needed analysis. The objective of this study is to review the Surface Transportation Board (STB) rail waybill data, analyze it, and examine the adequacy of the data for state planning and operations decision-making. The study starts with a review of the waybill data, focusing on aspects including accessibility, composition, quality, and usability of the data. The study also compares the waybill data against alternate databases, specifically the Association of American Railroads (AAR) rail data, to weigh the waybill data’s strengths and shortcomings and suggest where alternate sources should supplement the waybill data depending on analytical needs.
Format:

PDF
Funding:

WisDOT SPR# 0092-18-01
Download URL:

https://rosap.ntl.bts.gov/view/dot/56863/dot_56863_DS1.pdf
File Type:

[PDF - 2.29 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:e612017c2bb65094d6aec69b8b0259fb4e806d5b49607f87e9bfafe80312cb43

File Language:

English

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