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Title: TRIP GENERATION MODELS FOR INFREQUENT TRIPS
Accession Number: 00492087
Record Type: Component
Availability: Find a library where document is available Abstract: The adequacy of conventional linear regression models in trip generation analysis is examined in this study. Simulation experiments are conducted to determine whether model coefficients can be accurately estimated by least-squares estimation when the dependent variable is a nonnegative integer. Following this, nonlinear, two-stage model systems are estimated by using an empirical data set to examine whether more elaborate representation of the decision process underlying trip generation will lead to improved prediction. The results of this study indicate that linear regression models of trip generation offer consistent coefficient estimates and accurate predictions, and improved performance may not be obtained by adopting more complex model systems.
Supplemental Notes: This paper appears in Transportation Research Record No. 1220, Forecasting. 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 Title: Monograph Accession #: 01414064
Authors: Monzon, JoseGoulias, KonstadinosKitamura, RyuichiPagination: p. 40-46
Publication Date: 1989
Serial: ISBN: 0309048141
Features: References
(11)
; Tables
(4)
TRT Terms: Uncontrolled Terms: Old TRIS Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Mar 31 1990 12:00AM
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