Analysis of traffic upon school departure: Environment, behaviour, well-being and risk factors for road crashes

Bina, Manuela; Confalonieri, Federica; Abati, Daniela; Villa, Daniela; Biassoni, Federica

doi:10.1016/j.jth.2021.101119

Cited by 8 publications

(11 citation statements)

References 33 publications

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“…We also found that the density of cars in road environments with speed driving is a major factor causing accidents and the severity of the accidents. [24][25][26] According to this study, lack of road user safety awareness (69.30%), driving at high speeds in school zones (46.30%), and utilizing cars in incomplete situations (e.g., damaged) had the most significant impact on road accidents. Inadequate lighting on roads and vehicles was identified as an essential factor in road accidents, accounting for 57.80% of all incidents.…”

Section: Discussionmentioning

confidence: 85%

Risk assessment based on fault tree analysis and analytic hierarchy process in rural areas of Thailand

Joomjee,

Raksin,

Paengprakhon

et al. 2024

F1000Res

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Introduction The importance of understanding the factors contributing to road accidents at schools cannot be overstated. This study aims to determine the risk of accidents in situations that could lead to accidents near schools. Methods A total of 10 kindergarten to junior high schools were selected for the study. The research used the Haddon Matrix to classify factors at risk of accidents, risk assessment through fault tree analysis, and the analytic hierarchy process (FTA-AHP) techniques. Fourteen sub-criteria were defined for risk identification, risk probability analysis, and risk assessment of the 10 roads. The likelihood of each event was analyzed using the AHP technique for all schools with an expert choice program. RI (random index) was calculated, and CR (consistency ratio) < 0.10 was considered satisfactory. Results The possibility of human accidents ranked highest in three areas: 1) Risk perception in SC 01, 03, and 02, with probabilities of 69.30%, 61.90%, and 57.4%, respectively. 2) The likelihood of accidents from vehicles/equipment, with the highest probabilities in a) Handling (SC01) at 64.70%, b) Braking (SC07) at 61.90%, and c) Lighting (SC03) at 57.80%. 3) The likelihood of accidents from the environment, with the highest probabilities in 1) driving at excessive speeds in areas SC01, 06, 03, and 09, which were 43.60%, 40.90%, and 40.00%, respectively. Conclusions The impacts of all three main factors were as follows: a) humans had the highest impact in the SC01 area (77.90%), b) vehicles/equipment had the highest impact in the SC01 area (75.90%), and c) the highest environmental impact in the SC01 area was 69.90%. The accident risk assessment revealed the highest risk score in three areas: 1) human risk perception, 2) environment with driving at excessive speeds, and 3) vehicle/equipment, including lighting, braking, and handling.

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Section: Discussionmentioning

confidence: 85%

Risk assessment based on fault tree analysis and analytic hierarchy process in rural areas of Thailand

Joomjee,

Raksin,

Paengprakhon

et al. 2024

F1000Res

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“…A study done by Elias & Shiftan (2014) highlighted that the most vulnerable children that will involve in car crashes are boys from a low socio-economic group who live in a high-density area and mixed land use near a major road and who tend to walk to and from school and has additional activities after school. Besides that, a study conducted in Brescia, Italy by Bina et. al (2021) indicates that a lower probability of observed near-miss was associated with the presence of a 30km/h speed limit zone.…”

Section: The Contributing Factors Of Pedestrian-vehicle Conflictmentioning

confidence: 99%

Evaluation of School Children Crossing Facilities and Traffic Conflicts in The Vicinity of Schools in Selangor

et al. 2022

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Half of the world’s road traffic deaths involve vulnerable road users—pedestrians, motorcyclists, and cyclists. In Malaysia, there are several strategies introduced to improve the road safety level of school children. However, crashes involving school children are still worrisome. Recent trends of school children involved in crashes in school vicinity have become the nation’s concern. Therefore, this study aims to investigate the contributing factors of pedestrian-vehicle conflict involving school children in vicinity of the school. This study focused on the utilization of the facilities provided at school, exposure measures, and demographic characteristics of the schools. The facilities that are being considered in this study are; a zebra crossing, pedestrian bridge, drop-off, and pick-up zone, and the presence of a traffic warden. A total of 57 schools in Selangor were assessed for this study. The important variables were analyzed using the Negative Binomial Regression model to identify the significant attributes. Non-parametric analysis was used to compare the differences in characteristics of the schools. The findings of the study conclude that the road type and pedestrian volume are the underlying factors that would increase pedestrian-vehicle conflict in the school vicinity.

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“…Therefore, it is extremely important to develop and implement solutions that improve the safety of children in transport. Thanks to that, it is possible to reduce selected risks associated with other forms of transport than using a passenger car to get to school, and thus the use of other types of transport that can not only ensure the safety of children, but also can have a positive impact on children's health, and not be harmful to the environment [2].…”

Section: The Choice Of Transport Means For Children School Travelmentioning

confidence: 99%

“…Other solutions used in traffic calming zones around schools include additional horizontal and vertical signage, pedestrian refuge, narrowed lanes, restriction of entry for selected types of vehicles, or additional lightning. Zones of this type may be introduced during the morning and afternoon rush hours, or they may be valid throughout the whole day [2,18].…”

Section: Activities Increasing Children School Travel Safetymentioning

confidence: 99%

Intelligent mobility: A model for assessing the safety of children traveling to school on a school bus with the use of intelligent bus stops

Murawski¹,

Szczepański²,

Jacyna-Gołda³

et al. 2022

Eksploatacja i Niezawodność – Maintenance and Reliability

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The aim of the article is to develop a model for assessing the safety of children’s travel. Safety is the most important indicator describing the mobility system of children, even more important than the costs of operating it. Due to the dynamic development of intelligent solutions, it is possible to undertake additional activities supporting the improvement of children’s safety when traveling to and from school. However, their implementation requires an adequate assessment of a children’s mobility system. Currently, there are no solutions that could comprehensively support the decision-making process in this sphere. The article presents the issues of children’s mobility, a literature review in this area, mathematical model for assessing school bus travel, and a computational example. The presented approach is an original solution allowing for evaluation of the existing systems and their development scenarios. In addition, it enables the comparison of children mobility systems of different complexity and scale.

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Analysis of traffic upon school departure: Environment, behaviour, well-being and risk factors for road crashes

Cited by 8 publications

References 33 publications

Risk assessment based on fault tree analysis and analytic hierarchy process in rural areas of Thailand

Risk assessment based on fault tree analysis and analytic hierarchy process in rural areas of Thailand

Evaluation of School Children Crossing Facilities and Traffic Conflicts in The Vicinity of Schools in Selangor

Intelligent mobility: A model for assessing the safety of children traveling to school on a school bus with the use of intelligent bus stops

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