TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Structural Commodity Generation Model That Uses Public Data: Geographic Scalability and Supply Chain Elasticity Analysis

Accession Number:

01476195

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/main/blurbs/170199.aspx

Find a library where document is available


Order URL: http://worldcat.org/isbn/9780309286978

Abstract:

Freight forecasting models are data intensive and require many explanatory variables to be accurate. One problem, particularly in the United States, is that public data sources are mostly at highly aggregate geographic levels but models with more disaggregate geographic levels are required for regional freight transportation planning. A second problem is that supply chain effects are often ignored or modeled with economic input–output models that lack explanatory power. This study addressed these challenges with a structural equation modeling approach that was not confined to a specific spatial structure, as spatial regression models would have been, and allowed correlations between commodities. A model for structural commodity generation that was based on freight analysis framework was specified, estimated, and shown to provide a better fit to the data than did independent regression models for each commodity. Three features of the model are discussed: indirect effects, supply chain elasticity, and intrazonal supply–demand interactions. A goal programming method was used with imputed data to validate the geographic scalability of the model.

Monograph Accession #:

01505909

Report/Paper Numbers:

13-1962

Language:

English

Authors:

Ranaiefar, Fatemeh
Chow, Joseph Y J
Rodriguez-Roman, Daniel
Camargo, Pedro
Ritchie, Stephen G

Pagination:

pp 73–83

Publication Date:

2013

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2378
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309286978

Media Type:

Print

Features:

Figures (4) ; Maps; References (38) ; Tables (4)

Identifier Terms:

Freight Analysis Framework

Uncontrolled Terms:

Freight demand modeling; Scalability

Subject Areas:

Freight Transportation; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Feb 5 2013 12:27PM

More Articles from this Serial Issue: