An experimental study on learning effects on mode choice behavior in dynamic park and ride

Author

Kasai, Makoto ; Uesugi, Ryo ; Takasawa, Shohei ; Terabe, Shintaro

Author_Institution

Dept. of Civil Eng., Tokyo Univ. of Sci., Tokyo, Japan

fYear

2011

fDate

5-7 Oct. 2011

Firstpage

1096

Lastpage

1102

Abstract

This study examines the learning process of users in mode choice behavior through an experiment on iterative trips simulating Dynamic Park and Ride (DP&R) as a new Travel Demand Management (TDM) scheme. The learning process is reviewed by three different analyses: 1) a cross-sectional analysis, 2) a longitudinal analysis using pooled data on experiences in the most recent trial, and 3) a longitudinal analysis that takes into account the cumulative effects of all preceding trials. Findings are summarized as follows: travel times expected by participants have an effect on mode choice, and past experiences as well as the most recent experience also have an effect. The paper concludes with a discussion of the importance of considering learning effects for widespread adoption of a new conceptual TDM scheme.

Keywords

learning (artificial intelligence); transportation; dynamic park and ride; iterative trips; learning effects; longitudinal analysis; mode choice behavior; travel demand management scheme; user learning process; Data models; Detectors; Estimation; Rail transportation; Roads; Time division multiplexing; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Transportation Systems (ITSC), 2011 14th International IEEE Conference on

Conference_Location

Washington, DC

ISSN

2153-0009

Print_ISBN

978-1-4577-2198-4

Type

conf

DOI

10.1109/ITSC.2011.6082934

Filename

6082934