Miss-and-run: Factors contributing to two-vehicle phantom vehicle crashes in Florida

Abstract Objective: Phantom vehicle crashes (PVCs), or miss-and-run crashes, are a topical issue in car insurance coverage because of controversies over testimony and compensation. However, no peer-reviewed literature has examined the perceptions and deliberations involved in this infrequent type of car crash. A novel taxonomy of roadway traffic crashes is proposed in this study on the basis of whether physical collisions did occur (hit or miss) and whether the perpetrators stayed at the crash scene (stay or run). In this way, this study poses the issue of PVCs within the scope of traffic safety research and aims to investigate the statistically significant factors that are likely to induce PVCs. Methods: A binary logistic regression method was adopted to model the probability and occurrence of 2-vehicle PVCs (TV-PVCs) in Florida. Data derived from the Crash Analysis Reporting system in 2012–2014 consisted of 45,319 2-vehicle crashes, of which 1,376 (3.04%) were confirmed as positive TV-PVCs. Sixteen factors with 50 variables on crash information, roadway characteristics, and environmental conditions were included in the original consideration of the TV-PVC model. Results: The results indicated that a 2-vehicle crash is more likely to be a PVC when the crash happens on weekends, on roadways with no traffic control or speed control, full access control; on curving and sloping roadways; on roadways of National Highway System; and in low-density and other areas. A TV-PVC is less likely to occur on dry roads, in daylight, or at intersections or driveways. Moreover, alcohol involvement in a 2-vehicle crash is associated with hit-and-stay crashes than PVCs, and uninsured motorists are more likely to be the victims of PVCs because they tend to avoid physical collisions due to the potential self-paid loss. Conclusions: Several conclusions for better understanding the occurrence of PVCs are proposed for traffic management departments and car insurers. Cautious driving behavior including concentrated attention and deliberate lane changes should be encouraged for motorists to engage in appropriate levels of driving freedom, and drunk driving should be strictly supervised to keep motorists behind the wheel conscious. Car insurance is encouraged to compensate for economic loss resulting from roadway crashes. Road monitoring systems with well-performing illumination devices are recommended to help drivers provide potent testimony for compensation claims.

[1]  Fred L. Mannering,et al.  Latent Class Analysis of the Effects of Age, Gender, and Alcohol Consumption on Driver-Injury Severities , 2014 .

[2]  Fred L. Mannering,et al.  The temporal stability of factors affecting driver-injury severities in single-vehicle crashes: Some empirical evidence , 2015 .

[3]  M. Glickman,et al.  Identifying factors related to a hit-and-run after a vehicle-bicycle collision , 2017 .

[4]  Frank Gross,et al.  Case-control analysis in highway safety: Accounting for sites with multiple crashes. , 2013, Accident; analysis and prevention.

[5]  R. Tay Comparison of the binary logistic and skewed logistic (Scobit) models of injury severity in motor vehicle collisions. , 2016, Accident; analysis and prevention.

[6]  Yung-Ming Shiu,et al.  An examination of the relationship between vehicle insurance purchase and the frequency of accidents , 2016 .

[7]  Changxu Wu,et al.  Factors contributing to hit-and-run crashes in China , 2014 .

[8]  Shakil Mohammad Rifaat,et al.  A logistic model of the effects of roadway, environmental, vehicle, crash and driver characteristics on hit-and-run crashes. , 2008, Accident; analysis and prevention.

[9]  Wen Cheng,et al.  Investigation of hit-and-run crash occurrence and severity using real-time loop detector data and hierarchical Bayesian binary logit model with random effects , 2018, Traffic injury prevention.

[10]  Jian John Lu,et al.  Hit-and-run crashes in urban river-crossing road tunnels. , 2016, Accident; analysis and prevention.

[11]  Lynn Meuleners,et al.  Alcohol and non-alcohol-related motor vehicle crashes in Perth, Australia: Do alcohol outlets make a difference? , 2018, Accident; analysis and prevention.

[12]  Jonathan Nagler,et al.  Scobit: An Alternative Estimator to Logit and Probit , 1994 .

[13]  A N Stephens,et al.  Alcohol consumption patterns and attitudes toward drink-drive behaviours and road safety enforcement strategies. , 2017, Accident; analysis and prevention.

[14]  Anazida Zainal,et al.  Fraud detection system: A survey , 2016, J. Netw. Comput. Appl..

[15]  Richard Amoh-Gyimah,et al.  The effect of road and environmental characteristics on pedestrian hit-and-run accidents in Ghana. , 2013, Accident; analysis and prevention.

[16]  Anne T. McCartt,et al.  Crash risk factors for interstate large trucks in North Carolina. , 2017, Journal of safety research.

[17]  Richard Tay,et al.  Factors contributing to hit-and-run in fatal crashes. , 2009, Accident; analysis and prevention.

[18]  Dong-Kyu Kim,et al.  Cross-classified multilevel models for severity of commercial motor vehicle crashes considering heterogeneity among companies and regions. , 2017, Accident; analysis and prevention.

[19]  Makoto Kihira,et al.  Factors contributing to driver choice after hitting a pedestrian in Japan. , 2014, Accident; analysis and prevention.

[20]  F. Mannering,et al.  Determinants of bicyclist injury severities in bicycle-vehicle crashes: A random parameters approach with heterogeneity in means and variances , 2017 .

[21]  Bei Zhou,et al.  Comparison of contributing factors in hit-and-run crashes with distracted and non-distracted drivers , 2016 .

[22]  Lindsay S. Arnold,et al.  Factors associated with hit-and-run pedestrian fatalities and driver identification. , 2012, Accident; analysis and prevention.

[23]  Timothy C. Coburn,et al.  Statistical and Econometric Methods for Transportation Data Analysis , 2004, Technometrics.

[24]  Norman H. Wright Insurance - Automobile - Nebraska Supreme Court Upholds the Physical Contact Requirement for Phantom Vehicle Situations under Uninsured Motorist Coverage , 1978 .

[25]  Richard Tay,et al.  Logistic Model of Hit and Run Crashes in Calgary , 2010 .