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Title:

IMPROVED MODELING OF NON-HOME-BASED TRIPS

Accession Number:

00732413

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/0309059550

Abstract:

Non-home-based (NHB) trip making typically accounts for about 25 to 30% of travel by individuals in urban areas. However, the NHB trip purpose is usually treated as a large unknown category, and little attention is paid to the nature of these trips. An effort to better understand the characteristics of NHB trips by subdividing the NHB trip category is described. It is hoped that this effort will serve as a useful precursor to improving the analysis of trip chaining behavior. By definition, NHB trips are almost always part of a chain of trips that usually starts or ends at the trip maker's place of residence or work. By examining this chain more closely, it is possible to group NHB trips into two or three categories. More detailed analysis of these categories reveals that they have very different trip length, mode choice, and time of day characteristics. Making this subdivision improves the accuracy of the model, increases the sensitivity of the forecast to important factors, and provides a greater understanding of trip chaining behavior.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1556, Transportation Forecasting: Short-Term Practical Improvements, Travel Behavior Models and Issues, and Artificial Intelligence.

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Schultz, G W
Allen Jr, W G

Pagination:

p. 22-26

Publication Date:

1996

Serial:

Transportation Research Record

Issue Number: 1556
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309059550

Features:

Figures (3) ; References (7) ; Tables (6)

Uncontrolled Terms:

Old TRIS Terms:

Subject Areas:

Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning

Files:

TRIS, TRB

Created Date:

Feb 18 1997 12:00AM

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