Assessment of Significant Factors Affecting Frequent Lane-Changing Related to Road Safety: An Integrated Approach of the AHP–BWM Model

Frequent lane changes cause serious traffic safety concerns for road users. The detection and categorization of significant factors affecting frequent lane changing could help to reduce frequent lane-changing risk. The main objective of this research study is to assess and prioritize the significant...

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Veröffentlicht in:International journal of environmental research and public health 2021-10, Vol.18 (20), p.10628
Hauptverfasser: Farooq, Danish, Moslem, Sarbast, Jamal, Arshad, Butt, Farhan Muhammad, Almarhabi, Yahya, Faisal Tufail, Rana, Almoshaogeh, Meshal
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container_end_page
container_issue 20
container_start_page 10628
container_title International journal of environmental research and public health
container_volume 18
creator Farooq, Danish
Moslem, Sarbast
Jamal, Arshad
Butt, Farhan Muhammad
Almarhabi, Yahya
Faisal Tufail, Rana
Almoshaogeh, Meshal
description Frequent lane changes cause serious traffic safety concerns for road users. The detection and categorization of significant factors affecting frequent lane changing could help to reduce frequent lane-changing risk. The main objective of this research study is to assess and prioritize the significant factors and sub-factors affecting frequent lane changing designed in a three-level hierarchical structure. As a multi-criteria decision-making methodology (MCDM), this study utilizes the analytic hierarchy process (AHP) combined with the best–worst method (BWM) to compare and quantify the specified factors. To illustrate the applicability of the proposed model, a real-life decision-making problem is considered, prioritizing the most significant factors affecting lane changing based on the driver’s responses on a designated questionnaire survey. The proposed model observed fewer pairwise comparisons (PCs) with more consistent and reliable results than the conventional AHP. For level 1 of the three-level hierarchical structure, the AHP–BWM model results show “traffic characteristics” (0.5148) as the most significant factor affecting frequent lane changing, followed by “human” (0.2134), as second-ranked factor. For level 2, “traffic volume” (0.1771) was observed as the most significant factor, followed by “speed” (0.1521). For level 3, the model results show “average speed” (0.0783) as first-rank factor, followed by the factor “rural” (0.0764), as compared to other specified factors. The proposed integrated approach could help decision-makers to focus on highlighted significant factors affecting frequent lane-changing to improve road safety.
doi_str_mv 10.3390/ijerph182010628
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subjects Automobile safety
Behavior
Decision making
Fatalities
Fuzzy sets
Game theory
Incentives
Integrated approach
Investigations
Lane changing
Multiple criterion
Questionnaires
Roads
Roads & highways
Safety
Structural hierarchy
Traffic accidents & safety
Traffic models
Traffic volume
title Assessment of Significant Factors Affecting Frequent Lane-Changing Related to Road Safety: An Integrated Approach of the AHP–BWM Model
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