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Title:

Freight Demand Modeling and Data Improvement
Cover of Freight Demand Modeling and Data Improvement

Accession Number:

01473431

Record Type:

Monograph

Availability:

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Order URL: http://worldcat.org/isbn/9780309129428

Abstract:

Understanding freight flows and forecasting them is critical to determining the need for future transportation capacity on the nation’s highways or other modal infrastructure. However, current freight demand forecasting models and data sources are based on methods and tools developed for passenger transportation, and are inadequate for forecasting freight movements or volumes. The overall objective of SHRP2 C-20 is to “foster fresh ideas and new approaches to designing and implementing freight demand modeling,” instead of addressing freight movement planning through short-term measures that represent improvements to the current state of practice but still contain many inherent weaknesses. This research report documents the current state of the practice for freight demand modeling and the data required for effective freight modeling, data collection, and decision-making. The information presented is derived from outreach to practitioners and decision-makers at all levels, in both the public and private sectors. The report also provides a strategic plan to advance a broad new direction for improving freight planning; promoting continuous innovation for breakthrough solutions to freight analytical and data needs; and fostering a collaborative approach for private, public, and academic stakeholders.

Supplemental Notes:

Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Report/Paper Numbers:

SHRP 2 Report S2-C20-RR-1

Language:

English

Authors:

Chase, Keith M
Anater, Patrick
Phelan, Thomas

Pagination:

90p

Publication Date:

2013

Serial:

SHRP 2 Report

Issue Number: S2-C20-RR-1
Publisher: Transportation Research Board

ISBN:

9780309129428

Media Type:

Print

Features:

Figures; References; Tables

Uncontrolled Terms:

Subject Areas:

Data and Information Technology; Freight Transportation; Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Feb 21 2013 3:01PM