A Review Analysis of Accident Factor on Road Accident Cases Using Haddon Matrix Approach

Yaacob, Nur Fatma Fadilah; Rusli, Noradila; Bohari, Sharifah Norashikin

doi:10.1007/978-981-10-8471-3_6

Cited by 9 publications

(8 citation statements)

References 22 publications

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“…In addition to "seat belt use", distraction and highspeed road are the most influential variables when the driver is not using the seat belt. These findings are consistent with previous works conducted around the world, implying that human factors along with other factors such as road and vehicle type are the major causes of road accident [28].…”

Section: Discussionsupporting

confidence: 93%

Influence of seat-belt use on the severity of injury in traffic accidents

Febres

Herrero

Herrera

et al. 2020

Eur. Transp. Res. Rev.

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Background: About 1.35 million people died in traffic accidents around the world in 2018, make this type of accidents the 8th cause of death in the world. Particularly, in Spain, there were 204,596 traffic accidents during 2016 and 2017, out of which 349,810 drivers were injured. The objective of this study was to understand to what extent seat belt non-use and human factors contribute to drivers injury severity. Methodology: The results are based on the information and 2016-17 data provided by the Spain national traffic department "Dirección General de Tráfico" (DGT). The discretization model and Bayesian Networks were developed based on important variables from the literature. These variables were classified as; human factor, demographic factor, conditioning factor and seat belt use. Results: The results showed that failure to wear the seat belt by drivers are likely to increase the risk of fatal and sever injury significantly. Moreover, distraction and road type road can contribute to the accident severity.

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Section: Discussionsupporting

confidence: 93%

Influence of seat-belt use on the severity of injury in traffic accidents

Febres

Herrero

Herrera

et al. 2020

Eur. Transp. Res. Rev.

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“…The distribution of the total number of decisions and different decisions in terms of factors of the Haddon Matrix showed that human, physical environment, and socio- economic environment factors correspond to 25-35% of decisions in the meetings. Similar to the variety in the characteristics of road traffic crashes [11][12] , there was a wide range of decisions across different factors. Even though the majority of the decisions were related to human factors in total decisions (35%), the highest diversity for different decisions was found to be socio-economic environment factors (35%).…”

Section: Discussionmentioning

confidence: 99%

“…5,9 Moreover, it has also been used as a general perspective of road traffic safety. [10][11][12] The Haddon Matrix consists of two dimensions (see Table 1. ); phases and factors.…”

Section: The Haddon Matrixmentioning

confidence: 99%

“…The phase structure of the matrix enables the applications of particular interventions to decrease road traffic crashes and outcomes of these crashes at different phases. [8][9][11][12]15 Human factors represent different groups of road users involved in a crash as drivers, passengers, pedestrians, motorcyclists, bicyclists or others. Vehicle/equipment factors as physical characteristics, movement, and location are the channels or agents of impact.…”

Section: The Haddon Matrixmentioning

confidence: 99%

“…[10][11] The matrix provides theoretical knowledge and practical applications by determining the contributory factors that could be used to develop preventive public strategies. [8][9][10][11][12] For example, changes in the vehicle/equipment factors could reduce the risk of a crash or the consequences of a crash by focusing on different phases. 16 Moreover, emergency response is one of the factors affecting the post-crash stage.…”

Section: The Haddon Matrixmentioning

confidence: 99%

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The investigation of Turkey’s road safety decisions by Haddon Matrix and 7Es

Öztürk

Bıçaksız²,

ZİHNİ

et al. 2021

Türkiye Halk Sağlığı Dergisi

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Objective: Road traffic crashes are one of the crucial public health problems in Turkey and all over the world. Various human, vehicle, and environment factors have been associated with road traffic crashes and different policies, strategies, and interventions have been applied to decrease adverse outcomes such as deaths. Strategies adopted and applied by authorities play a crucial role in road safety. Methods: In the present study, the road safety decisions taken by the Road Traffic Safety Province Coordination Board of each of the 81 provinces of Turkey were analysed by using two frameworks, the Haddon Matrix and Es of road safety. Results: The classification procedure resulted in 8840 decisions in different cities and 652 unique decisions across Turkey. These decisions were classified based on the Haddon Matrix and Es of road safety. The majority of the decisions focused on the pre-crash phase and education, enforcement, engineering and evaluation activities. Conclusion: In line with the strategic decisions, practical implications were discussed, and suggestions have been introduced for the future of road safety. The study provides both methodological and practical implications for road safety research and agenda. It is believed that the use of the Haddon Matrix and 7Es of road safety for policy development will result in significant improvements in public health interventions.

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