Evaluation and Ranking of Driver Behavior Factors Related to Road Safety by Applying Analytic Network Process

Farooq, Danish; Moslem, Sarbast

doi:10.3311/pptr.13037

Cited by 14 publications

(14 citation statements)

References 19 publications

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“…Note that the dominant connections of the decision elements are hierarchical, and there are very few dependencies among the attributes (e.g., the frequency of lines might affect the awaiting time). Although some non-hierarchical correlations might be detected, the basic hierarchical structure made it possible to apply AHP and avoid the Analytic Network Process (ANP) [34], which most likely cannot be applied for passenger surveys due to the enormous number of pairwise comparisons. As the figure demonstrates, one 4 × Table 3 demonstrates the criteria definitions and explanation that were used in the site survey to clarify each term and symbols for the participant citizens to have more understating, as being layman evaluators.…”

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confidence: 99%

Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman

2019

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The demand for a service includes generally two major components; quality elements and the reasonable and affordable price. Public transport can be considered as a special service, there is no direct market competition for the provider, but the use of private transport modes substitutes the usage of public vehicles. The dominating competitor, the usage of private cars, causes higher CO2 emission and has a serious impact on the environment. Thus, it is important to analyze from market and sustainability point of view which are the preferences of the public for the improvement of the urban transport system. This paper aims to conduct this analysis by including quality criteria and transport fare criteria related to the current service of a city and by setting up and testing a generally applicable model for decision support. Since the acquisition of public preference was the primary objective, and the problem can be considered as decision making, the Analytic Hierarchy Process was selected as methodology. There are previous research results of applying this method on public transport, however, not in an integrated model, in which quality and cost considerations are pairwise compared. Thus, the conventional Analytic Hierarchy Process (AHP) technique was used and the well-proven requisites of consistency and sensitivity check were analyzed. The new model was tested in a case study: surveying the public transport demand in the capital of Jordan, Amman.

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Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman

2019

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“…The AHP method is based on an additive weighting process, in which several relevant criteria are represented through their relative importance. The AHP approach was extensively applied by academics and professionals in many areas and problems, mainly in engineering fields like transport engineering [2,3,13,[39][40][41][42], in construction engineering and accuracy assessment [43,44], in architecture [45,46] and in many different engineering fields [18,[47][48][49][50].…”

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confidence: 99%

Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP

et al. 2019

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In any public service development decision, it is essential to reach the stakeholders’ agreement to gain a sustainable result, which is accepted by all involved groups. In case this criterion is violated, the impact of the development will be less than expected due to the resistance of one group or another. Concerning public urban transport decisions, the lack of consensus might cause lower utilisation of public vehicles, thus more severe environmental damage, traffic problems and negative economic impacts. This paper aims to introduce a decision support procedure (applying the current MCDM techniques; Fuzzy and Interval AHP) which is capable of analysing and creating consensus among different stakeholder participants in a transport development problem. The combined application of FAHP and IAHP ensures that the consensus creation is not only based on an automated computation process (just as in IAHP) but also on the consideration of specific group interests. Thus, the decision makers have the liberty to express their preferences in urban planning, along with the consideration of numerical results. The procedure has been tested in a real public transport improvement decision as a follow-up project, in an emerging city, Mersin, Turkey. Results show that by the application of the proposed techniques, decision-makers can be more aware of the conflicts of interests among the involved groups, and they can pay more attention to possible violations.

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“…From the methodological perspective, there exist some similar contributions in the literature [73][74][75][76]. Gerogiannis et al [73] studied a group-AHP scoring model.…”

Section: Comparative Studymentioning

confidence: 96%

“…While the first one proposes a mixed-integer linear programming model approximation, the other deals with a robust solution to BWM. In [76], the same problem which we handle in the current study is aimed to solve by using the analytic network process (ANP). A primitive version of the criteria set which we used in the current study is used to prioritize.…”

Section: Comparative Studymentioning

confidence: 99%

An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety

et al. 2020

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Driver behavior plays a major role in road safety because it is considered as a significant argument in traffic accident avoidance. Drivers mostly face various risky driving factors which lead to fatal accidents or serious injury. This study aims to evaluate and prioritize the significant driver behavior factors related to road safety. In this regard, we integrated a decision-making model of the Best-Worst Method (BWM) with the triangular fuzzy sets as a solution for optimizing our complex decision-making problem, which is associated with uncertainty and ambiguity. Driving characteristics are different in different driving situations which indicate the ambiguous and complex attitude of individuals, and decision-makers (DMs) need to improve the reliability of the decision. Since the crisp values of factors may be inadequate to model the real-world problem considering the vagueness and the ambiguity, and providing the pairwise comparisons with the requirement of less compared data, the BWM integrated with triangular fuzzy sets is used in the study to evaluate risky driver behavior factors for a designed three-level hierarchical structure. The model results provide 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 model generates a more consistent decision process by the new consistency ratio of F-BWM. An adaptable application process from the model is also generated for future attempts.

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Evaluation and Ranking of Driver Behavior Factors Related to Road Safety by Applying Analytic Network Process

Cited by 14 publications

References 19 publications

Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman

Evaluating Passenger Demand for Development of the Urban Transport System by an AHP Model with the Real-World Application of Amman

Analysing Stakeholder Consensus for a Sustainable Transport Development Decision by the Fuzzy AHP and Interval AHP

An Integrated Approach of Best-Worst Method (BWM) and Triangular Fuzzy Sets for Evaluating Driver Behavior Factors Related to Road Safety

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