- Ahp decision making central models drivers#
- Ahp decision making central models driver#
- Ahp decision making central models series#
Road Accidents Involving Personal Injury (2001–2017) Update: KSH: Budapest, Hungary, 2018. The authors declare no conflict of interest. Overview of the Conventional Analytic Hierarchy Process (AHP)
Ahp decision making central models driver#
These driver behavior factors have a significant influence on road safety, as discussed in the foregoing study. For evaluation purposes, the driver behavior factors are designed in a three-level hierarchical structure and each factor is symbolized with an ‘F’, as shown in Figure 1. An “aggressive violation” was defined as inconsistent behavior towards other road users. Furthermore, “violations” are intentional failures-intentionally doing incorrect action.
Accordingly, these driver behaviors were defined as “errors” in unintended acts or decisions, while “slips and lapses” are tasks which we do without much conscious consideration. Some previous studies utilized the extended version of the DBQ to measure aberrant driver behaviors such as aggressive and ordinary violations, lapses and errors. The previous study identified three types of deviant driving behavior, i.e., errors, lapses and violations, and investigated the relationship between driving behavior and accident involvement. The second part of the DBQ, which has a design based on the Saaty scale, is used to analyze the significant driver behavior factors related to road safety. The results state the mean and standard deviation (SD) values of observed characteristics such as age, gender and driving experience based on drivers’ responses to the DBQ. The questionnaire survey was designed in two parts: The first part intended to accumulate demographic data about the participants, and these results are tabulated in Table 1.
Ahp decision making central models drivers#
To do so, car drivers with at least fifteen years of driving experience were asked to fill in the DBQ face-to-face, which enhanced its reliability. The case study has been conducted using experienced drivers in the Hungarian capital city, Budapest. This study utilized the driver behavior questionnaire (DBQ) as a tool to collect driver behavior data based on perceived road safety issues. Some recent studies applied the driver behavior questionnaire to assess the real-world situation, by considering the significant traffic safety factors and interrelations between the observed factors.
Ahp decision making central models series#
The questionnaire survey technique is a predefined series of questions used to collect data from individuals. The proposed AHP-BWM model can be used for PCMs with scientific data organized by traditional means. Moreover, the output vector of weights in the integrated model is more consistent, with results for 5 × 5 PCMs or bigger. 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). 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. Evading this tricky issue, we used the Best Worst Method (BWM) to make the layman’s evaluator task easier and timesaving. 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.
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 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).
Car drivers are usually involved in various risky driving factors which lead to accidents where people are fatally or seriously injured. The use of driver behavior has been considered a complex way to solve road safety complications.
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