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Title:

FORMULATION OF TRIP GENERATION MODELS USING PANEL DATA

Accession Number:

00489557

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/0309047692

Abstract:

This study addresses the question of whether conventional models based on cross-sectional data alone account for trip generation adequately. Alternative model formulations are examined using a panel data set to determine whether elements associated with past time points should considered in trip generation analysis and, if so, which elements should be introduced into the model. The analysis shows that estimated model coefficients and t-statistics differ substantially depending on model specification, and that allowing for serial correlation and incorporating a lagged dependent variable both significantly improve the model's fit. The results indicate that serial correlation should be incorporated whenever feasible for efficient estimation and improved fit and that it is safer to ignore state dependence (dependence of observed trip generation on that from a previous time point) and incorporate serial correlation, than to ignore serial correlation and incorporate state dependence. This significance of serial correlation, which presumably is due to omitted variables that are longitudinally correlated, suggests that important determinants of trip generation lie outside the set of variables that have traditionally been considered in travel behavior analysis.

Supplemental Notes:

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

Monograph Accession #:

01413989

Authors:

Kitamura, Ryuichi

Pagination:

p. 60-68

Publication Date:

1988

Serial:

Transportation Research Record

Issue Number: 1203
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309047692

Features:

References (15) ; Tables (6)

Old TRIS Terms:

Subject Areas:

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

Files:

TRIS, TRB, ATRI

Created Date:

Nov 30 1989 12:00AM

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