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Title:

Characterizing Household Vehicle Fleet Composition and Count by Type in Integrated Modeling Framework

Accession Number:

01519006

Record Type:

Component

Availability:

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309295239

Abstract:

There has been considerable interest, and consequent progress, in the modeling of household vehicle fleet composition and utilization in the travel behavior research domain. The multiple discrete-continuous extreme value (MDCEV) model is a modeling approach that has been applied frequently to characterize this choice behavior. One key drawback of the MDCEV modeling methodology is that it does not provide an estimate of the count of vehicles in each vehicle type alternative represented in the MDCEV model. Moreover, the classic limitations of the multinomial logit model, such as violations of the independence of irrelevant alternatives property in the presence of correlated alternatives and the inability to account for random taste variations, apply to the MDCEV model as well. A new methodological approach, developed to overcome these limitations, is applied in this paper to model vehicle fleet composition and count in each body type. The modeling methodology involves tying together a multiple discrete-continuous probit (MDCP) model and a multivariate count (MC) model capable of estimating vehicle counts in vehicle type categories considered by the MDCP model. The joint MDCP-MC model system was estimated by using a Greater Phoenix, Arizona, travel survey data set. The joint model system was found to offer behaviorally intuitive results and to provide superior goodness of fit in comparison with an independent model system that ignores the jointness between the MDCP component and the MC component.

Monograph Accession #:

01547309

Report/Paper Numbers:

14-4711

Language:

English

Authors:

Garikapati, Venu M
Sidharthan, Raghuprasad
Pendyala, Ram M
Bhat, Chandra R

ORCID 0000-0002-0715-8121

Pagination:

pp 129–137

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2429
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295239

Media Type:

Print

Features:

References (20) ; Tables (4)

Geographic Terms:

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:39PM

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