A market systems analysis of the U.S. Sport Utility Vehicle market considering frontal crash safety technology and policy.

Active safety features and adjustments to the New Car Assessment Program (NCAP) consumer-information crash tests have the potential to decrease the number of serious traffic injuries each year, according to previous studies. However, literature suggests that risk reductions, particularly in the automotive market, are often accompanied by adjusted consumer risk tolerance, and so these potential safety benefits may not be fully realized due to changes in consumer purchasing or driving behavior. This article approaches safety in the new vehicle market, particularly in the Sport Utility Vehicle and Crossover Utility Vehicle segments, from a market systems perspective. Crash statistics and simulations are used to predict the effects of design and policy changes on occupant crash safety, and discrete choice experiments are conducted to estimate the values consumers place on vehicle attributes. These models are combined in a market simulation that forecasts how consumers respond to the available vehicle alternatives, resulting in predictions of the market share of each vehicle and how the change in fleet mixture influences societal outcomes including injuries, fuel consumption, and firm profits. The model is tested for a scenario where active safety features are implemented across the new vehicle fleet and a scenario where the U.S. frontal NCAP test speed is modified. While results exhibit evidence of consumer risk adjustment, they support adding active safety features and lowering the NCAP frontal test speed, as these changes are predicted to improve the welfare of both firms and society.

[1]  The CBC System for Choice-Based Conjoint Analysis , 2013 .

[2]  E. Rowland Theory of Games and Economic Behavior , 1946, Nature.

[3]  Thomas P Wenzel,et al.  The effects of vehicle model and driver behavior on risk. , 2005, Accident; analysis and prevention.

[4]  G J Wilde,et al.  Risk homeostasis theory: an overview , 1998, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[5]  Marc Ross,et al.  Losing weight to save lives: A review of the role of automobile weight and size in traffic fatalities , 2001 .

[6]  Patrick S. McCarthy,et al.  Consumer Demand for Vehicle Safety: An Empirical Study , 1990 .

[7]  Michael Fitzharris,et al.  How important is vehicle safety in the new vehicle purchase process? , 2008, Accident; analysis and prevention.

[8]  Lester B. Lave,et al.  A Benefit-Cost Analysis of Auto Safety Features , 1970 .

[9]  Ramin Sedaghati,et al.  An Efficient Crashworthiness Design Optimization Approach for Frontal Automobile Structures , 2008 .

[10]  George E. Hoffer,et al.  Crash Test Dummies? The Impact of Televised Automotive Crash Tests on Vehicle Sales and Securities Markets , 2004 .

[11]  Aaron Hula,et al.  Light-Duty Automotive Technology, Carbon Dioxide Emissions, and Fuel Economy Trends: 1975 Through 2015 , 2015 .

[12]  L. Evans,et al.  Driver injury and fatality risk in two-car crashes versus mass ratio inferred using Newtonian mechanics. , 1994, Accident; analysis and prevention.

[13]  Naveen Eluru,et al.  A joint econometric analysis of seat belt use and crash-related injury severity. , 2007, Accident; analysis and prevention.

[14]  H C Joksch,et al.  Velocity change and fatality risk in a crash--a rule of thumb. , 1993, Accident; analysis and prevention.

[15]  L Evans Fatality risk for belted drivers versus car mass. , 1985, Accident; analysis and prevention.

[16]  Jeffrey Richard Crandall,et al.  A hybrid technique for determining optimal restraint system characteristics , 2006 .

[17]  D. McFadden,et al.  MIXED MNL MODELS FOR DISCRETE RESPONSE , 2000 .

[18]  Patrick S. McCarthy,et al.  Consumer valuation of new car attributes: An econometric analysis of the demand for domestic and Japanese/Western European imports , 1989 .

[19]  B. Frischknecht Market Systems Modeling for Public Versus Private Tradeoff Analysis in Optimal Vehicle Design. , 2009 .

[20]  Laura Schewel,et al.  Triple Safety: Lightweighting Automobiles to Improve Occupant, Highway, and Global Safety , 2008 .

[21]  John D. Graham,et al.  Evaluating the Effects of Automobile Safety Regulation , 1984 .

[22]  Richard Tay The prisoner's dilemma and vehicle safety: Some policy implications , 2002 .

[23]  D P Wood,et al.  Safety and the car size effect: a fundamental explanation. , 1997, Accident; analysis and prevention.

[24]  S. Peltzman The Effects of Automobile Safety Regulation , 1975, Journal of Political Economy.

[25]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[26]  Jian-fu Hou,et al.  Optimisation of Driver-Side Airbag and Restraint System by Occupant Dynamics Simulation , 1995 .

[27]  T. McDaniels,et al.  Reference points, loss aversion, and contingent values for auto safety , 1992 .

[28]  Fred L. Mannering,et al.  Consumer Demand for Automobile Safety , 1984 .

[29]  W K Viscusi,et al.  Rates of Time Preference and Consumer Valuations of Automobile Safety and Fuel Efficiency , 1995, The Journal of Law and Economics.

[30]  Panagiotis G. Ipeirotis,et al.  Running Experiments on Amazon Mechanical Turk , 2010, Judgment and Decision Making.

[31]  B O'Neill,et al.  Risk homeostasis hypothesis: a rebuttal , 1998, Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention.

[32]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[33]  Panos Y. Papalambros,et al.  THE IMPACT OF SAFETY STANDARDS AND POLICIES ON OPTIMAL AUTOMOBILE DESIGN , 2011 .

[34]  Kate S. Whitefoot Quantifying the Impact of Environmental Policy on Engineering Design Decisions. , 2011 .

[35]  Peter E. Rossi,et al.  Bayesian Statistics and Marketing , 2005 .

[36]  William T. Hollowell,et al.  Simulation Optimization of the Crashworthiness of a Passenger Vehicle in Frontal Collisions using Response Surface Methodology , 1985 .

[37]  Richard Tay Marginal effects of changing the vehicle mix on fatal crashes , 2003 .

[38]  YI-NAN LIa,et al.  Accident Analysis and Prevention , 2009 .