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Abstract for presentation (Poster or Podium)

Sustainable Transportation & Urban Development

Impact of real-time information on travelers’ mode choice behavior

Sunday, June 16, 2024

3:00 PM - 4:15 PM ET

Room: Galleria

Presenter(s)

DH

Daud Nabi Hridoy, n/a

Graduate Assistant
VTECH
Blacksburg,, Virginia, United States

Co-Author(s)

RT

RIFA TASNIA, n/a

Graduate Assistant
North Carolina Agricultural and Technical State University
Greensboro, North Carolina, United States
VP

Venktesh Pandey, PhD (he/him/his)

Assistant Professor
North Carolina A&T State University
Greensboro, NC, United States
HP

Hyoshin (John) Park, n/a

Associate Professor
old dominion university
Norfolk, Virginia, United States

Primary Author(s)

MH

Md Sami Hasnine, n/a

Assistant Professor
Virginia Tech
Blacksburg, Virginia, United States

Submitter(s)

MH

Md Sami Hasnine

Virginia Tech
Blacksburg, Virginia, United States

Abstract:

The objective of this study is to understand the impact of real-time information on travelers’ mode choice behavior using a joint revealed preference (RP) and stated preference (SP) survey. The focused area of this study is the Washington, DC, metro area and the Charlotte metro area, NC, USA. The empirical data utilized in this study was obtained from a survey conducted in July 2023 in these regions. A tour-based mode-choice approach is employed to gain insight into individuals’ forward-looking behavior where current mode choice is influenced by future planned trips in a given tour. A combination of three trips is considered in each tour (a total of six tours). The participants are provided with trip scenarios for each tour based on which they determine their preferred mode. The D-efficient approach is utilized to develop the experimental design for the SP scenarios. Following the collection and preparation of the data, an econometric model has been estimated. The findings indicate that several real-time information have a significant impact on travelers’ mode choice. The results show that the information on road closures, less transit disruption, and the unavailability of parking lots serve as incentive for travelers to opt for transit or park & ride as their preferred mode of transportation. Also, the utilization of parking schemes, whether on a daily or monthly basis, plays a substantial role in individual mode choice.

Learning Objectives:

Attendees can expect to learn the following from this session:

Upon completion, the participants will be able to learn the impact of real-time information on the trip-based and tour-based mode choices.
Upon completion, the participants will be able to learn how we can use joint revealed and stated preference surveys to understand individuals' preferences.
Upon completion, the participants will be able to learn how we can use a dynamic discrete choice model for policy analysis.