Bus crash risk evaluation: An adjusted framework and its application in a real network

Barabino, Benedetto; Bonera, Michela; Maternini, Giulio; Olivo, Alessandro; Porcu, Fabio

doi:10.1016/j.aap.2021.106258

Cited by 39 publications

(17 citation statements)

References 35 publications

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“…In terms of the strong association between vehicle overloading and severe casualties, strict supervision policies must be implemented to regulate the overloading of large buses and heavy trucks. Traffic agencies can strengthen vehicle condition testing and enhance on-board speed monitoring facilities to improve the operational quality of buses considering the potential risk of braking or steering failure [ 52 , 53 ]. In terms of environmental factors, according to a recent study by FHWA, an improvement in surface friction can reduce nearly 70% of accidents caused by slippery roadways [ 54 ].…”

Section: Discussionmentioning

confidence: 99%

Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China

Xu²,

Gao³

et al. 2022

PLoS ONE

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Roadway multi-fatality crashes have always been a vital issue for traffic safety. This study aims to explore the contributory factors and interdependent characteristics of multi-fatality crashes using a novel framework combining association rules mining and rules graph structures. A case study is conducted using data from 1068 severe fatal crashes in China from 2015 to 2020, and 1452 interesting rules are generated using an association rule mining approach. Several modular rules graph structures are constructed based on graph theory to reflect the interactions and patterns between different variables. The results indicate that multi-fatality crashes are highly associated with improper operations, passenger overload, fewer lanes, mountainous terrain, and run-off-the-road crashes, representing the key variables of factors concerning driver, vehicle, road, environment, and accident, respectively. Furthermore, crashes involving different severity levels, road categories, and terrain are verified to possess unique association rules and independent crash patterns. Moreover, the proportion of severe crashes caused by a combination of human-vehicle-road-environment factors (43%) is much higher than that of normal crashes (3%). This study reveals that the hidden associations between various factors contribute to the overrepresentation and severity of multi-fatality crashes. It also demonstrates that the crash mechanisms involving multi-fatality crashes and their interactions are more complex at the system level than those for normal crashes. The proposed framework can effectively map the intrinsic link between multiple crash factors and potential risks, providing transportation agencies with helpful insights for targeted safety measures and preventive strategies.

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Section: Discussionmentioning

confidence: 99%

Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China

Xu²,

Gao³

et al. 2022

PLoS ONE

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“…Refs. [ 50 , 51 ], and [ 52 ]). This decision was made to make the results easier to interpret and to suggest possible severity mitigation actions.…”

Section: Methodsmentioning

confidence: 99%

Prediction of the severity of exceeding design traffic loads on highway bridges

Ventura,

Barabino,

Maternini

2024

Heliyon

Self Cite

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“…Barabino et al [5] proposed a framework for evaluating the severity of bus routes by considering both accident frequency and severity in relation to public bus accidents. Tis framework includes risk factors in terms of frequency, severity, and exposure to bus accidents among various safety-related factors (e.g., road topography, pavement, vehicle mileage, driving propensity, and accident history).…”

Section: Prior Studiesmentioning

confidence: 99%

“…Many studies have evaluated and analyzed crash risks in relation to bus accidents [2,[5][6][7][8][9][10][11][12][13][14][15][16][17][18]. However, most studies have focused on collision accidents.…”

Section: Introductionmentioning

confidence: 99%

Influence of Public Bus Driver’s Driving Behaviors on Passenger Fall Incidents: An Analysis Using Digital Tachograph Data

Jeong

Park²,

Lee

et al. 2022

Journal of Advanced Transportation

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Owing to the low occurrence of public transport accidents, most existing studies have focused on improving the traffic safety of passenger cars. However, traffic accidents related to public transport should also be investigated for the safety of public transport users, particularly the vulnerable ones. This study analyzed the behavioral factors affecting passenger fall incidents on buses to enhance the safety of public bus passengers. This study considered potential influential factors, such as acceleration, deceleration, braking, and steering maneuvers, calculated using data from digital tachographs installed on the buses. Negative binomial and Poisson lognormal regression models were built using the Bayesian method. The two models yielded similar results. In all cases, deceleration-related behavioral factors (abrupt deceleration and abrupt stop) significantly influenced passenger fall incidents. The findings from this study are significant for establishing effective strategies to reduce fall incidents by providing safety education to bus drivers.

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Bus crash risk evaluation: An adjusted framework and its application in a real network

Cited by 39 publications

References 35 publications

Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China

Multivariate analysis of roadway multi-fatality crashes using association rules mining and rules graph structures: A case study in China

Prediction of the severity of exceeding design traffic loads on highway bridges

Influence of Public Bus Driver’s Driving Behaviors on Passenger Fall Incidents: An Analysis Using Digital Tachograph Data

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