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Title:

Spatial Economic Model for Forecasting the Percentage Splits of External Trips on Highways Approaching Small Communities
Cover of Spatial Economic Model for Forecasting the Percentage Splits of External Trips on Highways Approaching Small Communities

Accession Number:

01020679

Record Type:

Component

Availability:

Transportation Research Board Business Office

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Public/Blurbs/156933.aspx

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Order URL: http://worldcat.org/isbn/0309094054

Abstract:

The main difficulty in forecasting traffic volumes in small urban communities is identifying the amount and destination of the external traffic. Three methods exist for determining the percentage of external traffic destined for the study community (external–internal trips) or through the study community (external–external trips): a comprehensive origin–destination study, a cordon line origin–destination study, and the use of regression equations. This paper examines the possibility of the use of an alternative technique, based on a spatial economic model, to determine the traffic distribution. The project uses an economic model, which includes surrounding community factors, to determine the trip rates for three communities within Alabama and compares the results obtained from this model with the results given by a commonly accepted regression equation and a recently completed cordon line origin–destination study performed by using video surveillance. It is demonstrated that the economic model performs well for the case study cities, and this model is recommended for use in providing estimates that incorporate a community’s economic relationship to neighboring towns for traffic forecasting.

Monograph Title:

Planning and Analysis 2005

Monograph Accession #:

01020675

Language:

English

Authors:

Anderson, Michael D

Pagination:

pp 68-73

Publication Date:

2005

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 1931
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309094054

Media Type:

Print

Features:

Figures (5) ; References (13) ; Tables (7)

Geographic Terms:

Subject Areas:

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

Files:

TRIS, TRB, ATRI

Created Date:

Mar 24 2006 9:56AM

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