The Framing of Drivers' Route Choices when Travel Time Information Is Provided under Varying Degrees of Cognitive Load

In two experiments, participants chose between staying on a main route with a certain travel time and diverting to an alternative route that could take a range of travel times. In the first experiment, travel time information was displayed on a sheet of paper to participants seated at a desk. In the second experiment, the same information was displayed in a virtual environment through which participants drove. Overall, participants were risk-averse when the average travel time along the alternative route was shorter than the certain travel time of the main route but risk-seeking when the average travel time of the alternative route was longer than the certain travel time along the main route. In the second experiment, in which cognitive load was higher, participants simplified their decision-making strategies. A simple probabilistic model describes the risk-taking behavior and the load effects. Actual or potential applications of this research include the development of efficient travel time information systems for drivers.

[1]  P. Jovanis.  Guest editorial: modeling travel behavior with advanced traveler information , 1993 .

[2]  D. Duncan,et al.  User Preferences for Information Types in Advanced Traveler Information System Applications , 1998 .

[3]  R W McNees,et al.  HUMAN FACTORS REQUIREMENTS FOR REAL-TIME MOTORIST INFORMATION DISPLAYS. VOLUME 6. QUESTIONNAIRE SURVEY OF MOTORIST ROUTE SELECTION CRITERIA , 1978 .

[4]  C. H. Coombs,et al.  Mathematical psychology : an elementary introduction , 1970 .

[5]  Ata M. Khan,et al.  Technological responses to urban traffic congestion , 1992 .

[6]  Donald L. Fisher,et al.  Advanced Parking Management Systems: Models of Drivers' Parking Strategies , 1998 .

[7]  安川 文明,et al.  予防歯科プログラムの選考に関する Discrete Choice Analysis , 2002 .

[8]  P. Bovy,et al.  ROUTE CHOICE: WAYFINDING IN TRANSPORT NETWORKS , 1990 .

[9]  F. Mannering,et al.  Models Of Commuters' Information Use And Route Choice: Initial Results Based On A Southern California Commuter Route Choice Survey , 1993 .

[10]  H. Huynh,et al.  Estimation of the Box Correction for Degrees of Freedom from Sample Data in Randomized Block and Split-Plot Designs , 1976 .

[11]  Noboru Harata,et al.  A SP Model for Route Choice Behavior in Response to Travel Time Information with Marginal Errors. Volume 1: Travel Behavior , 1996 .

[12]  H. Huynh,et al.  Conditions under Which Mean Square Ratios in Repeated Measurements Designs Have Exact F-Distributions , 1970 .

[13]  Mohamed Abdel-Aty,et al.  USING STATED PREFERENCE DATA FOR STUDYING THE EFFECT OF ADVANCED TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE , 1997 .

[14]  Jan Theeuwes,et al.  Driving Simulator Validity: Some Considerations , 1996 .

[15]  Isam Kaysi,et al.  INFLUENCE OF TRAFFIC INFORMATION ON DRIVERS' ROUTE CHOICE BEHAVIOR , 1994 .

[16]  A. Tversky,et al.  The framing of decisions and the psychology of choice. , 1981, Science.

[17]  J. Jucker,et al.  An Empirical Study of Travel Time Variability and Travel Choice Behavior , 1982 .

[18]  Jerome L. Myers,et al.  Repeated measurements of dichotomous variables: Q and F tests. , 1982 .

[19]  M. Abdel-Aty,et al.  INVESTIGATION OF CRITERIA INFLUENCING ROUTE CHOICE: INITIAL ANALYSIS USING REVEALED AND STATED PREFERENCE DATA , 1994 .

[20]  T M Allen,et al.  DRIVER INFORMATION NEEDS , 1971 .