A hazard-based duration model to quantify the impact of work related distraction on taxi drivers’ safety performance

Abstract

With the increasing use of ride-hailing apps, concerns have arisen regarding road safety and driver distraction. Despite the recognized safety risks of driver distraction, limited research has explored how distractions from various ride-hailing systems affect drivers in the taxi industry. The research utilized a driving simulator experiment involving 51 taxi drivers in two road environments (urban street and motorway) and three distracted driving conditions (no distraction, auditory distraction via radio dispatching system, and visual-manual distraction via mobile application). A car-following scenario with sudden brake events was incorporated into the experiments. The collected performance indicators include brake reaction time (BRT), time headway (THW), and car-following distance (CFD). The random parameters Weibull accelerated failure time (AFT) model was applied to model the duration data under different road conditions. The results indicate that although taxi drivers show longer BRT when distracted by mobile app and radio system, this does not necessarily equate with greater risk or reduced safety performance since they compensate for the risk of rear-end crashes by maintaining a longer THW. In general, taxi drivers' BRT and THW are more profoundly affected by mobile apps than by radio systems when distracted in both urban and motorway scenarios. In addition, significant interaction effects revealed the observed heterogeneity, which suggests that drivers' personal characteristics influence the relationship between distraction type and driving performance. This research provides valuable insights for designing safer ride-hailing systems and implementing effective driver training and management systems for transport operators.