Review of NJ point system.

Carnegie, Jon A.; Ozbay, Kaan; Mudigonda, Sandeep · 2013 · ROSA P / New Jersey. Department of Transportation. Bureau of Research

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Summary

This study investigates the comparative effectiveness of point-based versus incident-based negligent driver monitoring systems, specifically within the context of New Jersey’s Motor Vehicle Commission (MVC). The research was motivated by a significant decline in the efficacy of the existing point system, largely driven by the widespread practice of plea bargaining point-carrying violations into non-point offenses following the creation of the "unsafe operation" violation in 2000. Previous studies indicated that while MVC interventions were effective at reducing recidivism, the increasing rate of plea bargaining had reduced the number of drivers subjected to these countermeasures by 36 percent, potentially leaving problem drivers "invisible" to regulatory oversight. The primary objective was to determine if modifying the current system or adopting alternative monitoring structures could better identify and address negligent driving behavior to improve highway safety. The researchers employed survival analysis to evaluate the impact of MVC interventions on the time until a driver’s next offense. They analyzed data from drivers subjected to three specific interventions: point advisory notices, driver re-education classes (Driver Improvement Program and Probationary Driver Program), and license suspensions. The study then modeled three primary alternatives to the current system: Alternative #1 retained the point system but limited or eliminated plea bargaining; Alternative #2 replaced the point system with an incident-based system similar to the American Association of Motor Vehicle Administrators (AAMVA) model; and Alternative #3 supplemented the existing point system with an incident-based habitual offender license suspension program. The analysis compared system outputs, such as the number of advisory notices and suspensions, and safety outcomes, including violation and crash recidivism rates, across various demographic cohorts. The findings confirmed that MVC interventions significantly increase the average time to the next offense. Specifically, the period between violations increased by 25% for drivers receiving advisory notices, 34% for those completing re-education classes, and 10–17% for those facing license suspensions. Re-education classes were notably more effective for experienced drivers than for probationary ones. When comparing the alternatives, Alternative #1 (eliminating plea bargaining) yielded the best results in terms of extending the time until the next offense across nearly all age and gender cohorts, with male drivers showing the greatest improvement. Alternative #2, which subjected the largest number of drivers to interventions, produced improvements slightly lower than Alternative #1. Alternative #3 resulted in longer times between offenses for habitual offenders, but these intervals remained short, indicating that "hard core" offenders continue to pose significant safety risks despite stricter sanctions. The study concludes that while changes to the MVC’s monitoring system can enhance its ability to address negligent driving, political and operational challenges complicate implementation. Alternatives #1 and #2 present significant hurdles, whereas Alternative #3 offers the most practical promise, though it requires careful cost-benefit analysis. The research underscores that the current point system’s effectiveness is undermined by plea bargaining practices and suggests that limiting such practices or supplementing the system with incident-based measures for habitual offenders could improve highway safety outcomes.

Key finding

Limiting or eliminating plea bargaining for motor vehicle offenses resulted in the greatest improvement in the time until the next offense across virtually every age and gender cohort compared to incident-based monitoring systems.

Methodology

dataset

Provenance

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Topics

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• driver education effectiveness
• sex gender

Information type

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• Applied Guidance: countermeasure evaluation, policy recommendations
• Empirical Findings: crash risk outcomes