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Title: FORECASTING INTERMODAL COMPETITION IN A MULTIMODAL ENVIRONMENT
Accession Number: 00476107
Record Type: Component
Availability: Find a library where document is available Abstract: In this paper, the problem of accurately describing patterns of intermodal competition in a situation in which there are a large number of alternative modes available is discussed. This research was motivated by efforts to increase the capacity and usage of the existing Hudson River crossings connecting Manhattan and northern New Jersey. This corridor is characterized by the presence of an unusually large number of distinct transportation options and a high level of transit use. In such a setting, it is important to know not just how many commuters might use a new service, but also from which existing services they would be drawn. The mathematical structure of an innovative model developed for NJ Transit and the Port Authority of New York and New Jersey to allocate demand across seven primary modes is presented. The representation of intermodal competition that this model provides is considered, and its properties are contrasted with those of some commonly used variants of the familiar logit model. Empirical estimates of the own- and cross-elasticities of demand implied by the model coefficients are broken down by mode, service attribute, and geographic area.
Supplemental Notes: Publication of this paper sponsored by Committee on Passenger Travel Demand 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 #: 01418189
Authors: Neels, KevinMather, JosephPagination: pp 15-19
Publication Date: 1987
Serial: ISBN: 0309046505
Media Type: Print
Features: References
(1)
; Tables
(3)
TRT Terms: Identifier Terms: Subject Areas: Highways; Planning and Forecasting; Public Transportation; I72: Traffic and Transport Planning
Files: TRIS, TRB, ATRI
Created Date: Sep 30 1988 12:00AM
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