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

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.

[1]  K. Huddart The importance of stops in traffic signal progressions , 1969 .

[2]  P. Jones,et al.  ‘HATS’: A Technique for Investigating Household Decisions , 1979 .

[3]  Hani S. Mahmassani,et al.  Interactive Experiments for the Study of Trip maker Behaviour Dynamics in Congested Commuting Systems , 1990 .

[4]  Peter Bonsall,et al.  USING AN INTERACTIVE ROUTE-CHOICE SIMULATOR TO INVESTIGATE DRIVERS' COMPLIANCE WITH ROUTE GUIDANCE ADVICE , 1991 .

[5]  Jeffrey L. Adler,et al.  A conflict model and interactive simulator (FASTCARS) for predicting enroute driver behavior in response to real-time traffic condition information , 1993 .

[6]  Mohamed Abdel-Aty,et al.  EXPERIMENTAL ANALYSIS AND MODELING OF SEQUENTIAL ROUTE CHOICE UNDER AN ADVANCED TRAVELER INFORMATION SYSTEM IN A SIMPLISTIC TRAFFIC NETWORK , 1993 .

[7]  Hani S. Mahmassani,et al.  DYNAMIC INTERACTIVE SIMULATOR FOR STUDYING COMMUTER BEHAVIOR UNDER REAL-TIME TRAFFIC INFORMATION SUPPLY STRATEGIES , 1993 .

[8]  Haris N. Koutsopoulos,et al.  A driving simulator and its application for modeling route choice in the presence of information , 1994 .

[9]  Hani S. Mahmassani,et al.  Analysis of Travelers' Preferences for Routing: Task A: Literature Review , 1995 .

[10]  Moshe Ben-Akiva,et al.  TRAVEL SIMULATORS FOR DATA COLLECTION ON DRIVER BEHAVIOR IN THE PRESENCE OF INFORMATION , 1995 .

[11]  Lisa J. Molnar,et al.  Developing information systems for the driving tourist: a literature review. Interim report , 1996 .

[12]  Hani S Mahmassani,et al.  DAY-TO-DAY DYNAMICS OF COMMUTER ROUTE CHOICE BEHAVIOUR UNDER REAL-TIME INFORMATION , 1996 .

[13]  J Polak,et al.  USING STATED-PREFERENCE METHODS TO EXAMINE TRAVELLER PREFERENCES AND RESPONSES , 1997 .