Attributes affecting preferences for traffic safety camera programs.

With just a few notable exceptions, research supports the concept that red light cameras (RLCs) improve safety. However, many communities that have implemented RLC programs have faced a firestorm of public opinion associated with the use of RLCS, with many communities having to remove the cameras. What makes or breaks a red light camera program? Because of the experimental design process, stated choice is recognized as a tool that can resemble a laboratory experiment for the public policy arena. In this research, a stated choice model was developed and used to explore public preferences for a RLC program through an internet survey and a convenience sample drawn from a typical college town. The results suggest while independently the opposite is true, that when there is an increase in both the fine for violators and the number of cameras together (i.e., the interaction of these two) there is a perceived public safety gain. The interacted variable positively increases utility from the selected RLCS program we analyzed and could be key in generating public support for RLC programs. The results suggest some important deterrence theory implications for improving accident prevention through the use of RLC programs that are designed to avoid unnecessary public scrutiny.

[1]  Aklesso Egbendewe-Mondzozo,et al.  Red-light cameras at intersections: Estimating preferences using a stated choice model , 2010 .

[2]  Susan A Ferguson,et al.  Effects of Red Light Cameras on Violations and Crashes: A Review of the International Literature , 2003, Traffic injury prevention.

[3]  D. McFadden Conditional logit analysis of qualitative choice behavior , 1972 .

[4]  Joel Huber,et al.  The Importance of Utility Balance in Efficient Choice Designs , 1996 .

[5]  John M. Rose,et al.  Estimating the willingness-to-pay and value of risk reduction for car occupants in the road environment , 2009 .

[6]  Kofi Obeng,et al.  Explaining crashes at intersections with red light cameras , 2008 .

[7]  J. Siikamäki,et al.  Discrete Choice Survey Experiments: A Comparison Using Flexible Models , 2007 .

[8]  Rebecca N. Warburton,et al.  Do Speed Cameras Produce Net Benefits? Evidence from British Columbia, Canada. , 2006 .

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

[10]  Wiebke Kuklys,et al.  Stated choice methods: analysis and application, Jordan J. Louviere, David A. Hensher and Joffre D. Swait, Cambridge University Press, ISBN: 0-521-78830-7 , 2002 .

[11]  Allan F. Williams,et al.  Characteristics of red light violators: Results of a field investigation , 1996 .

[12]  Christopher M. Fleming,et al.  Web-based surveys as an alternative to traditional mail methods. , 2009, Journal of environmental management.

[13]  J. Marschak Binary Choice Constraints on Random Utility Indicators , 1959 .

[14]  Kangwon Shin,et al.  The impact of red light cameras on safety in Arizona. , 2007, Accident; analysis and prevention.

[15]  Mark J. Garratt,et al.  Efficient Experimental Design with Marketing Research Applications , 1994 .

[16]  Juan de Dios Ortúzar,et al.  Stated preference in the valuation of interurban road safety. , 2003, Accident; analysis and prevention.

[17]  Kenneth H Beck,et al.  A comparison of web-based and telephone surveys for assessing traffic safety concerns, beliefs, and behaviors. , 2009, Journal of safety research.

[18]  John M. Rose,et al.  Efficiency and sample size requirements for stated choice studies , 2005 .

[19]  B E Porter,et al.  A nationwide survey of self-reported red light running: measuring prevalence, predictors, and perceived consequences. , 2001, Accident; analysis and prevention.

[20]  Ross Homel Policing the drinking driver: Random breath testing and the process of deterrence , 1987 .

[21]  B. Kanninen,et al.  Valuing environmental amenities using stated choice studies : a common sense approach to theory and practice , 2010 .

[22]  P. Zarembka Frontiers in econometrics , 1973 .

[23]  Paula Iragüen,et al.  Willingness-to-pay for reducing fatal accident risk in urban areas: an Internet-based Web page stated preference survey. , 2004, Accident; analysis and prevention.

[24]  Jing Shi,et al.  Aberrant driving behaviors: a study of drivers in Beijing. , 2010, Accident; analysis and prevention.

[25]  Neil Thorpe,et al.  PUBLIC ATTITUDES TO TDM MEASURES: A COMPARATIVE STUDY , 2000 .

[26]  J. Krosnick,et al.  National Surveys Via Rdd Telephone Interviewing Versus the Internet Comparing Sample Representativeness and Response Quality , 2009 .

[27]  Richard A Retting,et al.  Caution: a comment on Alena Erke's red light for red-light cameras? A meta-analysis of the effects of red-light cameras on crashes. , 2009, Accident; analysis and prevention.

[28]  K M Lum,et al.  A before-and-after study of driver stopping propensity at red light camera intersections. , 2003, Accident; analysis and prevention.

[29]  A. Aeron-Thomas,et al.  Red-light cameras for the prevention of road traffic crashes. , 2005, The Cochrane database of systematic reviews.

[30]  L. Sherman Police Crackdowns: Initial and Residual Deterrence , 1990, Crime and Justice.

[31]  Allan F. Williams,et al.  Evaluation of Red Light Camera Enforcement in Fairfax, Va., USA , 1999 .

[32]  Eun-Ha Choi,et al.  Crash Factors in Intersection-Related Crashes: An On-Scene Perspective , 2010 .

[33]  A G Hobeika,et al.  ASSESSMENT OF RED LIGHT RUNNING CAMERAS IN FAIRFAX COUNTY, VIRGINIA , 2003 .

[34]  Michel Wedel,et al.  Profile Construction in Experimental Choice Designs for Mixed Logit Models , 2002 .

[35]  G. Casella,et al.  Statistical Inference , 2003, Encyclopedia of Social Network Analysis and Mining.

[36]  N. Morris,et al.  Crime and justice : an annual review of research , 1980 .

[37]  F. Reed Johnson,et al.  Experimental Design For Stated-Choice Studies , 2006 .

[38]  Nang-Ngai Sze,et al.  Attitudes of public light bus drivers to penalties to combat red light violations in Hong Kong , 2008 .

[39]  Bryan E Porter,et al.  Characterizing red light runners following implementation of a photo enforcement program. , 2006, Accident; analysis and prevention.

[40]  B. Kanninen,et al.  Valuing Environmental Amenities Using Stated Choice Studies , 2007 .