Phase-wise injury integrated severity modeling of road accidents: a two-stage hybrid multi-criteria decision-making model

Trivedi, Priyank; Shah, Jiten; Esztergár-Kiss, Domokos; Duleba, Szabolcs

doi:10.1007/s12530-023-09563-4

Cited by 3 publications

(4 citation statements)

References 104 publications

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“…In contrast, secondary comparisons do not play a role in the estimation process. The decision matrix is firstly defined as per equation (7). Following are the further steps of the BWM [38]:…”

Section: Methodology a Best-worst Methods (Bwm)mentioning

confidence: 99%

“…This involves setting a threshold for the consistency ratio (CR) [6], where scores above this threshold deem the respondent as ineligible, and those below as eligible. Over recent decades, extensive research has been conducted to refine the CR consistency metric, yet the metrix remains largely unchanged and extensively used in AHP applications [7].…”

Section: Introductionmentioning

confidence: 99%

“…In road safety assessment, MCDM techniques play a pivotal role in identifying key factors that influence the safest behaviors among road users [14], [15]. Moreover, these techniques can pinpoint specific geographic boundaries that require substantial safety improvement [7]. Table 1 presents a summary of notable recent works on MCDM application in the area of road safety.…”

Section: Introductionmentioning

confidence: 99%

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A Hybrid Best-Worst Method (BWM)—Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Approach for Prioritizing Road Safety Improvements

Trivedi,

Shah,

Čep

et al. 2024

IEEE Access

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The increase in road accidents underscores the urgent need for effective methodologies to evaluate and prioritize road safety improvements. Traditional decision-making processes in road safety management often confront challenges due to the lack of a comprehensive approach, particularly in handling multiple evaluation criteria. This study introduces a novel Hybrid Multi-Criteria Decision-Making approach that amalgamates the Best-Worst Method (BWM), the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), and the Simple Additive Weighting (SAW) method. This approach is designed to prioritize road safety improvements effectively by analyzing various criteria and alternatives in a structured manner. Focusing on a 500-meter road section, the study identifies eight distinct road improvement criteria and divides the road section into five sub-sections for detailed analysis. The BWM is utilized to determine the criteria weights, which are subsequently integrated into the TOPSIS and SAW methodologies for prioritizing improvements in each road subsection. This hybrid approach provides a comprehensive framework for decision makers, including road safety auditors and transportation professionals, facilitating a nuanced and systematic evaluation of safety improvements. The methodology's efficacy is validated through field expert consultations and comparative analysis with standalone SAW results. The validation underscores the potential of the proposed approach as a robust tool for road safety stakeholders, enabling them to make informed decisions based on a detailed, Chainage-wise analysis of road sections. The Python code for TOPSIS is available at https://github.com/kanak02/TOPSIS. INDEX TERMSBest-worst method (BWM), multi-criteria decision making (MCDM), road safety improvement, simple additive weighting (SAW), technique for order preference by similarity to ideal solution (TOPSIS).The associate editor coordinating the review of this manuscript and approving it for publication was Hongli Dong.

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Section: Methodology a Best-worst Methods (Bwm)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Hybrid Best-Worst Method (BWM)—Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Approach for Prioritizing Road Safety Improvements

Trivedi,

Shah,

Čep

et al. 2024

IEEE Access

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“…Article [ 45 ] conducts an analysis of the severity of road accidents in 30 cities in India, based on a two-stage MCDM model, which includes the Analytic Hierarchy Process (AHP) and multi-objective optimization based on the coefficient analysis (MULTIMOORA). Data on road accidents were provided by the Indian Ministry of Road Transport and Highways.…”

Section: Research Backgroundmentioning

confidence: 99%

The Effect of Changing the Angle of the Passenger Car Seat Backrest on the Head Trajectories of the 50th Percentile Male Dummy

Frej

2024

Sensors

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The aim of the study is to compare the head displacement of the KPSIT C50 dummy during a frontal collision at a speed of 20 km/h, along with the change in the angle of the car seat backrest. Passenger car manufacturers recommend setting the backrest angle of the car seat between 100 and 125 degrees. It should be noted that the driver’s position is of great importance in the event of a collision injury. In the event of a rear-end collision, the position of the headrest of the car seat is an element that affects the degree of the driver’s injuries. In extreme cases, incorrect positioning of the headrest, even at low speed, can lead to serious injuries to the cervical spine and even death. The article is part of a large-scale study on low-speed crash testing. The research problem concerned the influence of the seat backrest angle on the head displacement during a low-speed collision. The article compares the displacement of the head of the KPSIT C50 dummy during a series of crash tests, where the angle of the car seat backrest was changed. On the basis of the research, it was found that the optimal angle of the car seat backrest is 110 degrees. In addition, a preliminary analysis of the displacements of the dummy’s head showed a high risk of whiplash injury in people sitting in a fully reclined seat.

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Optimization of Highway Performance and Safety by Integrated Multi-Criteria Decision-Making Techniques

Khichad,

Vishwakarma,

Gaur

et al. 2024

Int. J. Pavement Res. Technol.

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Phase-wise injury integrated severity modeling of road accidents: a two-stage hybrid multi-criteria decision-making model

Cited by 3 publications

References 104 publications

A Hybrid Best-Worst Method (BWM)—Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Approach for Prioritizing Road Safety Improvements

A Hybrid Best-Worst Method (BWM)—Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) Approach for Prioritizing Road Safety Improvements

The Effect of Changing the Angle of the Passenger Car Seat Backrest on the Head Trajectories of the 50th Percentile Male Dummy

Optimization of Highway Performance and Safety by Integrated Multi-Criteria Decision-Making Techniques

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