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Title:

Modeling Travel Mode Choice Behavior by Bayesian Network

Accession Number:

01024558

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Bayesian networks are a marriage between probabilistic theory and graph theory. In a Bayesian network, the graphical network topology specifies the model structure and the conditional probabilities provide the mechanism to represent the dependence relationships between variables. This paper proposes a Bayesian network model to address travel mode choice problem and discover how trip makers’ travel decision behaviors are affected by underlying socio-economic and level-of-service factors.

Monograph Accession #:

01020180

Report/Paper Numbers:

06-3083

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Nozick, Linda K
Xie, Chi
Wang, Haiyuan

Pagination:

24p

Publication Date:

2006

Conference:

Transportation Research Board 85th Annual Meeting

Location: Washington DC, United States
Date: 2006-1-22 to 2006-1-26
Sponsors: Transportation Research Board

Media Type:

CD-ROM

Features:

Figures (4) ; References (9) ; Tables (3)

Uncontrolled Terms:

Bayesian networks

Subject Areas:

Data and Information Technology; Economics; Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Society; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2006 Paper #06-3083

Files:

TRIS, TRB

Created Date:

Mar 3 2006 11:12AM