Traveler Responses to Advanced Traveler Information Systems for Shopping Trips: Interactive Survey Approach

Abstract

This survey research describes an experiment that addresses travel decisions of trip makers for noncommuting trips. The survey considers recreational shopping trips for which trip makers can choose both destination and desired arrival time. An interactive stated preference instrument, the survey was designed and implemented for access and administration via the Internet. It was easily accessible and completely self-administered; participants could run the survey without the help of a project staff member. Data were also gathered automatically. Survey respondents were asked to make two shopping trips. They were provided with pretrip and en route traffic information for trips to shopping malls by predetermined routes. Respondents were asked their preferences concerning information items, factors affecting their mall choice, demographics, and familiarity with their residence and the shopping malls. The recruitment method by e-mail and the requirement to have Internet access led to a slightly biased sample—young males, many with higher education, were overrepresented in the sample. Results showed that respondents choose their shopping mall based on characteristics of the mall but that trip makers divert from their route when provided with delay information during their trip. It was found that about 25 percent of respondents even change their destination. Of the respondents who did not change their destination, nearly half chose to divert from their current route, whereas the other half stayed on the current route. Despite its current sample bias, the interactive Internet survey has proven to be a successful tool for gathering data on travel decisions. It is inexpensive, easy to administer, and provides reliable responses.

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References

Mahmassani

H. S.

, and Herman

. Interactive Experiments for the Study of Tripmaker Behavior Dynamics in Congested Commuting Systems. In Developments in Dynamic and Activity-Based Approaches to Travel Analysis ( Jones

, ed.), Gower, Aldershot, U.K., 1990, pp. 272–298.

Jones

P. M.

HATS–A Technique for Investigating Household Decisions. Environment and Planning A, Vol. 11, No. 1, 1979.

Lee-Gosselin

The Dynamics of Car Use Patterns Under Different Scenarios: A Gaming Approach. In Developments in Dynamic and Activity-Based Approaches to Travel Analysis ( Jones

, ed.), Gower, Aldershot, U.K., 1990, pp. 250–271.

Polak

, and Jones

. Using Stated Preference Methods to Examine Traveler Preferences and Responses. In Understanding Travel Behavior in an Era of Change ( Stopher

and Lee-Gosselin , eds.), Pergamon, 1997, pp. 177–208.

Adler

J. L.

, Recker

W. W.

, and McNally

M. G.

. A Conflict Model and Interactive Simulator (FASTCARS) for Predicting En-Route Driver Behavior in Response to Real-Time Traffic Condition Information. Transportation, Vol. 20, No. 2, 1993, pp. 83–106.

Bonsall

, and Parry

. Using an Interactive Route-Choice Simulator to Investigate Drivers’ Compliance with Route Guidance Advice. In Transportation Research Record 1306, TRB, National Research Council, Washington, D.C., 1991, pp. 59–68.

Chen

P. S.-T.

, and Mahmassani

H. S.

. Dynamic Interactive Simulator for Studying Commuter Behavior Under Real-Time Traffic Information Supply Strategies. In Transportation Research Record 1413, TRB, National Research Council, Washington, D.C., 1993, pp. 12–21.

Koutsopoulos

H. N.

, Lotan

, and Yang

. A Driving Simulator and Its Application for Modeling Route Choice in the Presence of Information. Transportation Research, Vol. 2C, No. 2, 1994, pp. 91–107.

Koutsopoulos

H. N.

, Polydoropoulou

, and Ben-Akiva

. Travel Simulators for Data Collection on Driver Behavior in the Presence of Information. Transportation Research, Vol. 3C, No. 3, 1995, pp. 143–159.

10.

Vaughn

K. M.

, Abdel-Aty

M. A.

, Kitamura

, Jovanis

P. P.

, Yang

, Kroll

N. E. A.

, Post

R. B.

, and Oppy

. Experimental Analysis and Modeling of Sequential Route Choice Behavior Under an Advanced Traveler Information System in a Simplistic Traffic Network. In Transportation Research Record 1408, TRB, National Research Council, Washington, D.C., 1993, pp. 75–82.

11.

Mahmassani

H. S.

, and Liu

Y.-H.

. Commuter Pre-Trip Route Choice and En-Route Path Selection under Real-Time Information: Experimental Results. Proceedings of the 2nd World Congress on Intelligent Transport Systems, Yokohama, Japan, 1995.

12.

Mahmassani

H. S.

, and Liu

Y.-H.

. Day-to-Day Dynamics of Commuter Route Choice Behavior Under Real-Time Information. Proc., 24th European Transport Forum, London, England, 1996.

13.

Lerner

N. D.

, Dekker

D. K.

, Benel

D. C. R.

, Rabinovich

B. A.

, Mahmassani

H. S.

, Liu

Y.-H.

, Klein

, Hutton

, Srinivasan

, and Jovanis

. Analysis of Travelers’ Preferences for Routing, Task A Report: Literature Review. COMSIS. Contract No. DTFH61-95-C-00017. FHWA, U.S. Department of Transportation, Washington, D.C., 1995.

14.

Molnar

L. J.

, Eby

D. W.

, and Hopp

M. L.

. Developing Information Systems for the Driving Tourist: A Literature Review. UMTRI Technical Report 96-11, 1996.

15.

Kraan

, Mahmassani

H. S.

, Huynh

, Abdelghany

A. F. S.

, Chen

, Srinivasan

, and La Luz

. Tripmaker Choice Behavior for Non-Commuting Trips: Experiments with Shopping Trips. Technical Report DTFH61-95-C-00017-F, prepared for Westat. Center for Transportation Research, The University of Texas at Austin, 1998.