Road Accident Hazard Prevention by Applying the Haddon Matrix

Trivedi, Priyank; Shah, Jiten

doi:10.1007/978-981-16-7397-9_18

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Vehicular risk factors were motorized vehicles, two wheelers and overloaded vehicles whereas environmental factors included poor weather conditions. 16,17 Studies outside India have also reported traffic rule violations to be the major cause of road accidents, along with environmental factors like poor street lighting and lack of road signs. [18][19][20][21] These studies emphasize the importance of enforcing traffic regulations, and conducting behavior change education regarding traffic safety rules and their adherence.…”

Section: Discussionmentioning

confidence: 99%

Haddon’s matrix for spectrum of road-related major injuries in rural adolescents: a case series analysis

Banerjee,

Banerjee

2024

Int J Community Med Public Health

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Unintentional injuries in children pose public health threat that often leads to serious consequences in the child and the family, especially in case of major injuries. Prevention strategies need to be worked out for all injuries, particularly for major injuries which cause considerable disability and mortality. We present three road-related major injury events which had occurred during the entire period of a larger study, which have been analyzed using the Haddon’s matrix through an epidemiological tetrad model involving host, vector, physical environment and socio-economic environment. Intervention strategies for prevention of similar injuries in future have been outlined at various time points for each case, as well as general measures, in various levels of care. Of the three major road-related injury cases (12 years, female; 17 years, female; and 17 years, male), two were automobile accidents in 17 years old adolescents and one was a case of injury of a 12-year-old girl due to fall on road. Risk factors were present in all three cases related to host, vector, physical environment and socio-economic environment. Strategies for prevention have been outlined at various time points i.e. pre-event, event, post-event at various levels for each case, as well as intervention strategies that can be implemented in general by the individual, family, community including panchayat, and both State and National governments. All major road-related injuries and their complications that occurred in subjects of the present study could have been prevented by taking responsibility at various levels.

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Section: Discussionmentioning

confidence: 99%

Haddon’s matrix for spectrum of road-related major injuries in rural adolescents: a case series analysis

Banerjee,

Banerjee

2024

Int J Community Med Public Health

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“…Evaluating road safety is complex issues as there are multiple factors causing road accidents [13]. In road safety assessment, MCDM techniques play a pivotal role in identifying key factors that influence the safest behaviors among road users [14], [15].…”

Section: Introductionmentioning

confidence: 99%

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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Road Accident Hazard Prevention by Applying the Haddon Matrix

Cited by 2 publications

References 9 publications

Haddon’s matrix for spectrum of road-related major injuries in rural adolescents: a case series analysis

Haddon’s matrix for spectrum of road-related major injuries in rural adolescents: a case series analysis

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

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