The Relationship between Self-reported Traffic Crashes and Driver Behavior in the Road Transportation of Goods and Freight in Bali

Abstract

Road safety stakeholders in Bali have highlighted the need to investigate and better understand road user behavior as a means of reducing the high number of crashes in the goods and freight distribution sector. This study aims to analyze the relationship between driver behavior and traffic crashes reported by drivers transporting goods and freight in Denpasar, Bali. A driving safety survey was distributed to 350 goods and freight transport drivers to obtain a range of demographic information, self-reported crash and offence data, and psychosocial data associated with driving safety. Analysis identified four areas of concern with distinctions between different driving practices within the sample, consisting of aggressive driving behavior, driving errors, traffic code violations and normlessness. The results of this study demonstrate that normlessness consisting of behaviors such as taking a slight risk when overtaking and ignoring speed limits were the most common forms of unsafe behavior reported by the goods vehicle transport drivers. The study found that speeding influenced more self-reported driving errors, aggressive behaviors, traffic rule violations and crashes. In addition, drink driving was found to be positively related to traffic crashes. The implications of these results are discussed.

Bayesian Modelling Applied to Evaluate Road Cargo Transport Risks

“…The systematic review of the literature identified several risk factors associated with RCT activity and the respective methodologies employed by researchers to evaluate these factors (Lakehal and Tachi, 2018). These factors include theft and robbery of various types of products and goods (Ekwall and Lantz, 2015), road conditions (Yang et al, 2018), types of merchandise being transported (Ekwall and Lantz, 2013), driver behavior (Wedagama and Wishart, 2018), vehicle conditions (Dong et al, 2017) and weather conditions (Wang and Yang, 2018).…”

“…The transport of hazardous materials has been extensively studied to identify the recurring risk factors in road cargo transport (RCT) activity (Oggero et al, 2006). Various aspects are considered during the analysis, such as the type of substance being transported, the availability of an emergency plan for accidents, and the potential environmental damage caused by leaks, fires, and explosions (Wedagama and Wishart, 2018).…”

“…Statistical data analysis has been applied to identify the primary sources of risk and the most likely accidents, aiming to reduce the probability of accidents (Friswell and Williamson, 2008;Yang et al, 2010;Bouamrane et al, 2012;Wedagama and Wishart, 2018). The Monte Carlo method (MMC) has also been utilized to calculate risk factors in RCT (Bouamrane et al, 2012;Urciuoli, 2008).…”