00489556

Component

http://onlinepubs.trb.org...trr/1988/1203/1203-005.pdf

https://scholar.google.co...mura&publication_year=1988

This study is concerned with commuters' trip chaining behavior in which a stop for nonwork activities in introduced to the basic home-work-home travel pattern. An important question is whether a commuter will make the nonwork stop during the commuting trip or, alternatively, will pursue the nonwork activity by making a separate trip chain from home. A theoretical model is formulated to address this question. The analysis indicates that the likelihood of pursuing the nonwork activity in a separate, home-based trip chain will increase with the speed of travel and will decrease as commuting distance, travel cost, or the density of opportunities increases. The empirical analysis, using data sets from two areas and two points in time, generally supports these theoretical relationships. It also shows, however, that trip chaining behavior does not remain stable over time despite the fact that trip rates are very stable.

This paper appears in Transportation Research Record No. 1203, Demand Forecasting and Trip Generation-Route Choice Dynamics. 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

01413989

p. 48-59

1988

Transportation Research Record

0309047692

Figures (7) ; References (32) ; Tables (5)

Commuters; Empirical methods; Mathematical models; Theory; Travel budgets; Travel costs; Travel time; Trip chaining; Trip length

Highways; Passenger Transportation; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning

TRIS, TRB

Nov 30 1989 12:00AM

• DATA COMBINATION AND UPDATING METHODS FOR TRAVEL SURVEYS
• ESTIMATION OF TRIP MATRICES: SHORTCOMINGS AND POSSIBILITIES FOR IMPROVEMENT
• EXPERIMENTAL INVESTIGATION OF ROUTE AND DEPARTURE TIME CHOICE DYNAMICS OF URBAN COMMUTERS
• FORMULATION OF TRIP GENERATION MODELS USING PANEL DATA
• PREDICTING PEAK-SPREADING UNDER CONGESTED CONDITIONS
• TRAFFIC VOLUME FORECASTING METHODS FOR RURAL STATE HIGHWAYS