Analysis of Driver Behavior toward the Implementation of the Electronic Traffic Law Enforcement (ETLE) System and Its Impact on Road Safety

Abstract

As a developing country, Indonesia faces numerous challenges in traffic safety, particularly due to rising road violations and accidents. The government has introduced Electronic Traffic Law Enforcement to digitalize traffic law enforcement efforts. It aims to study driving behavior in relation to the implementation of ETLE and to appraise its impact on road safety. A descriptive, quantitative method is employed for data collection through online surveys of 300 drivers in metropolitan areas that have previously implemented ETLE. The research instrument aligns with the Theory of Planned Behavior and Protection Motivation Theory, whose statistical analyses used Pearson correlation and multiple linear regression. Findings reveal that positive perceptions of ETLE and legal consciousness regarding driving behavior contribute substantially, accounting for 48.7% of the variance. Perceptions of fairness and correctness regarding the ETLE system appear to be the foremost motivational factors driving drivers' compliance. This work contributes significantly to a behavioral approach to assessing the effectiveness of digital law enforcement systems, in contrast to earlier studies that focused on a technical and legal analysis of these systems. Such implications for practice would include the formulation of education strategies and the development of more communicative, technology-based transportation systems. Thus, the findings contribute to a better understanding of the interplay between technology, human behavior, and road safety.