Abstract
The use of driver behavior has been considered a complex way to solve road safety complications. Car drivers are usually involved in various risky driving factors which lead to accidents where people are fatally or seriously injured. The present study aims to dissect and rank the significant driver behavior factors related to road safety by applying an integrated multi-criteria decision-making (MCDM) model, which is structured as a hierarchy with at least one 5 × 5 (or bigger) pairwise comparison matrix (PCM). A real-world, complex decision-making problem was selected to evaluate the possible application of the proposed model (driver behavior preferences related to road safety problems). The application of the analytic hierarchy process (AHP) alone, by precluding layman participants, might cause a loss of reliable information in the case of the decision-making systems with big PCMs. Evading this tricky issue, we used the Best Worst Method (BWM) to make the layman’s evaluator task easier and timesaving. Therefore, the AHP-BWM model was found to be a suitable integration to evaluate risky driver behavior factors within a designed three-level hierarchical structure. The model results found the most significant driver behavior factors that influence road safety for each level, based on evaluator responses on the driver behavior questionnaire (DBQ). Moreover, the output vector of weights in the integrated model is more consistent, with results for 5 × 5 PCMs or bigger. The proposed AHP-BWM model can be used for PCMs with scientific data organized by traditional means.
Highlights
According to the Hungarian Central Statistical Office data, there were 625 road fatalities in 2017, a 2.9% increase when compared to 2016 [1]
The analytic hierarchy process (AHP) results indicated that “aggressive violation” (F12) is the most important driver behavior factor related to road safety
We described some tricky AHP problems, and designed an advanced AHP-Best Worst Method (BWM) model for evaluating the driver behavior factors related to road safety
Summary
According to the Hungarian Central Statistical Office data, there were 625 road fatalities in 2017, a 2.9% increase when compared to 2016 [1]. The investigations of the Road Safety Action Program declare that human-related factors caused most of the accidents. Handling them befits the highly dynamic objective of road safety action. The Road Safety Action Program (2014–2016) was incorporated into the Hungarian Transport Strategy, which set objectives to reduce the number of road fatalities by 50% between 2010 and 2020 [2]. The previous research done to estimate drivers’ perceptions of accident risk revealed that the main factors related to the driver which directly affect road safety included driving behavior, driving experience, and the driver’s perception of traffic risks [3]. Drivers are generally involved in actions that cause safety problems for both themselves and other road users.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
