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Title:

Analysis of Car Usage Time Frontiers Incorporating Both Inter- and Intraindividual Variation with GPS Data

Accession Number:

01518548

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309295123

Abstract:

This paper incorporates both interindividual variation and intraindividual variation into the modeling of car usage time frontiers (CUTFs). A CUTF is defined as the unobserved maximum amount of time that an individual private car user is willing to spend driving and is derived from the concept of a travel time budget. Long-term GPS data collected from private cars in Toyota, Japan, were used. To deal with the panel data, a stochastic frontier model with random parameters was applied as the modeling methodology. The fit of the data for the estimation results demonstrated that models with random coefficients were preferable. Drivers’ CUTFs on workdays were significantly affected by the departure time of the first trip, temperature, home location, gender, age, and occupation. All those explanatory variables except temperature also significantly affected CUTFs on holidays. When the intraindividual variations were ignored, only a few explanatory variables had a significant effect on CUTFs. Predictions made with the estimated parameters showed that the expected CUTFs were about double the corresponding actual times of car usage (expenditures). Therefore, CUTFs are underestimated when intraindividual variations are ignored.

Monograph Accession #:

01537243

Report/Paper Numbers:

14-4288

Language:

English

Authors:

Li, Dawei
Miwa, Tomio
Morikawa, Takayuki

Pagination:

pp 13–23

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2413
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295123

Media Type:

Print

Features:

Figures (7) ; Maps; References (15) ; Tables (4)

Geographic Terms:

Subject Areas:

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

Files:

TRIS, TRB, ATRI

Created Date:

Jan 27 2014 3:29PM

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