Estimating the subjective risks of driving simulator accidents.

We examine the subjective risks of driving behavior using a controlled virtual reality experiment. Use of a driving simulator allows us to observe choices over risky alternatives that are presented to the individual in a naturalistic manner, with many of the cues one would find in the field. However, the use of a simulator allows us the type of controls one expects from a laboratory environment. The subject was tasked with making a left-hand turn into incoming traffic, and the experimenter controlled the headways of oncoming traffic. Subjects were rewarded for making a successful turn, and lost income if they crashed. The experimental design provided opportunities for subjects to develop subjective beliefs about when it would be safe to turn, and it also elicited their attitudes towards risk. A simple structural model explains behavior, and showed evidence of heterogeneity in both the subjective beliefs that subjects formed and their risk attitudes. We find that subjective beliefs change with experience in the task and the driver's skill. A significant difference was observed in the perceived probability to successfully turn among the inexperienced drivers who did and did not crash even though there was no significant difference in drivers' risk attitudes among the two groups. We use experimental economics to design controlled, incentive compatible tasks that provide an opportunity to evaluate the impact on driver safety of subject's subjective beliefs about when it would be safe to turn as well as their attitudes towards risk. This method could be used to help insurance companies determine risk premia associated with risk attitudes or beliefs of crashing, to better incentivize safe driving.

[1]  Morten I. Lau,et al.  Estimating Risk Attitudes in Denmark: A Field Experiment , 2005 .

[2]  Mohammed Abdellaoui,et al.  The Rich Domain of Uncertainty: Source Functions and Their Experimental Implementation , 2011 .

[3]  A. Piquero,et al.  USING THE CORRECT STATISTICAL TEST FOR THE EQUALITY OF REGRESSION COEFFICIENTS , 1998 .

[4]  Laurent Denant-Boèmont,et al.  Information value and sequential decision-making in a transport setting: an experimental study , 2003 .

[5]  F. Knight,et al.  Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks , 2007 .

[6]  John L. Hartman.  Special Issue on Transport Infrastructure: A Route Choice Experiment with an Efficient Toll , 2007 .

[7]  Amnon Rapoport,et al.  Navigating congested networks with variable demand: Experimental evidence , 2006 .

[8]  S. Zeger,et al.  Longitudinal data analysis using generalized linear models , 1986 .

[9]  Vinayak Dixit,et al.  Comparison of Driver Behavior by Time of Day and Wet Pavement Conditions , 2012 .

[10]  R. Ashworth,et al.  Factors Affecting the Variability of Driver Gap-Acceptance Behaviour , 1978 .

[11]  John A. Groeger,et al.  Risk perception and decision taking during the transition between novice and experienced driver status , 1988 .

[12]  A. Guppy,et al.  Subjective probability of accident and apprehension in relation to self-other bias, age, and reported behavior. , 1993, Accident; analysis and prevention.

[13]  Thomas Pitz,et al.  Experiments and Simulations on Day-to-Day Route Choice-Behaviour , 2003, SSRN Electronic Journal.

[14]  L Denant-Boemont,et al.  Downs-Thomson paradox and public transit capacity choice in the laboratory , 2012 .

[15]  Adrian B Ellison,et al.  Personality, risk aversion and speeding: an empirical investigation. , 2010, Accident; analysis and prevention.

[16]  Charles E. Hughes,et al.  Virtual Experiments and Environmental Policy , 2009 .

[17]  John Morgan,et al.  Network architecture and traffic flows: Experiments on the Pigou-Knight-Downs and Braess Paradoxes , 2007, Games Econ. Behav..

[18]  Amnon Rapoport,et al.  Departure Times in Y-Shaped Traffic Networks with Multiple Bottlenecks , 2009 .

[19]  N. Wilcox.  Stochastically more risk averse: A contextual theory of stochastic discrete choice under risk , 2011 .

[20]  C Corbett,et al.  EXPLANATIONS FOR "UNDERSTATING" IN SELF-REPORTED SPEEDING BEHAVIOUREXPLANATIONS FOR "UNDERSTATING" IN SELF-REPORTED SPEEDING BEHAVIOUR , 2001 .

[21]  L. J. Savage,et al.  The Foundations of Statistics , 1955 .

[22]  T A Ranney,et al.  Models of driving behavior: a review of their evolution. , 1994, Accident; analysis and prevention.

[23]  J. Hey,et al.  INVESTIGATING GENERALIZATIONS OF EXPECTED UTILITY THEORY USING EXPERIMENTAL DATA , 1994, Experiments in Economics.

[24]  Amnon Rapoport,et al.  Vickrey's model of traffic congestion discretized , 2008 .

[25]  Thomas Pitz,et al.  Commuters route choice behaviour , 2007, Games Econ. Behav..

[26]  E. Rutström,et al.  ELICITING RISK ATTITUDES FROM ROUTE CHOICES OVER SIMULATED DRIVING CHOICES , 2013 .

[27]  Neil K Chaudhary,et al.  The relationship between perceived risk of being ticketed and self-reported seat belt use. , 2004, Journal of safety research.

[28]  Charles A. Holt,et al.  Risk Aversion and Incentive Effects , 2002 .

[29]  V. Smith,et al.  Research in Experimental Economics , 1979 .

[30]  Mohamed Abdel-Aty,et al.  Quality of traffic flow on urban arterial streets and its relationship with safety. , 2011, Accident; analysis and prevention.

[31]  N. Wilcox.  Stochastic models for binary discrete choice under risk: a critical primer and econometric comparison , 2008 .

[32]  James C. Cox,et al.  Risk aversion in experiments , 2008 .

[33]  Atanu Saha,et al.  Expo-Power Utility: A ‘Flexible’ Form for Absolute and Relative Risk Aversion , 1993 .

[34]  R L Williams,et al.  A Note on Robust Variance Estimation for Cluster‐Correlated Data , 2000, Biometrics.

[35]  Hamish A Deery,et al.  Hazard and Risk Perception among Young Novice Drivers , 1999 .

[36]  D. Lindley.  The foundations of statistics (second edition), by Leonard J. Savage. Pp xv, 310. £1·75. 1972 (Dover/Constable) , 1973 .

[37]  T. Rundmo,et al.  RISK PERCEPTION AND DRIVING BEHAVIOUR AMONG ADOLESCENTS IN TWO NORWEGIAN COUNTIES BEFORE AND AFTER A TRAFFIC SAFETY CAMPAIGN , 2004 .

[38]  Kim S. Sankey,et al.  Relationships between young drivers' personality characteristics, risk perceptions, and driving behaviour. , 2008, Accident; analysis and prevention.

[39]  Vinayak Dixit,et al.  Behavioural foundations of two-fluid model for urban traffic , 2013 .

[40]  L. J. Savage,et al.  The Foundations of Statistics , 1955 .

[41]  Satish V. Ukkusuri,et al.  Dynamic Traffic Equilibrium , 2007 .

[42]  R. G. Cummings,et al.  Homegrown Values and Hypothetical Surveys: Is the Dichotomous Choice Approach Incentive-Compatible? , 1995 .

[43]  D M DeJoy,et al.  The optimism bias and traffic accident risk perception. , 1989, Accident; analysis and prevention.

[44]  G. Harrison,et al.  Risk Aversion in the Laboratory , 2008 .

[45]  R. F. Soames Job,et al.  An implicit non-self-report measure of attitudes to speeding: development and validation. , 2008, Accident; analysis and prevention.

[46]  Glenn W. Harrison.  The Rich Domain of Uncertainty: Comment , 2011 .

[47]  Jeffrey M. Wooldridge,et al.  Cluster-Sample Methods in Applied Econometrics , 2003 .

[48]  Marc Willinger,et al.  Road Traffic Congestion and Public Information: An Experimental Investigation , 2006 .

[49]  H. Bandemer.  Savage, L. J.: Foundations of Statistics. Dover Publ., Inc,. New York 1972. 310 S. , 1974 .