Critical review on data-driven approaches for learning from accidents: comparative analysis and future research

Y Niu, Y Fan, X Ju - Safety science, 2024 - Elsevier
Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …

[HTML][HTML] Exploring the influence of socio-economic aspects on the use of electric scooters using machine learning applications: A case study in the city of Palermo

T Campisi, E Kuşkapan, MY Çodur… - … Business & Management, 2024 - Elsevier
Most European countries have been committed to reducing their carbon footprint, combating
climate change, and reducing the air pollution typical in large cities over the past decade …

A hierarchical transfer-generative framework for automating multi-analytical tasks in rail surface defect inspection

T Wang, Z Zhang, KL Tsui - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Rail surface inspection is crucial for ensuring the safety and longevity of rail transport
systems, grapples with the challenges posed by the scarcity of defective samples …

Travel route safety estimation based on conflict simulation

H Huang, Y Wei, C Han, J Lee, S Mao, F Gao - Accident Analysis & …, 2022 - Elsevier
With the aim of providing travelers information about the safety levels of selectable routes, it
is necessary to develop a method that can properly estimate the safety of alternative travel …

[HTML][HTML] Interpretable dynamic ensemble selection approach for the prediction of road traffic injury severity: a case study of Pakistan's national highway N-5

A Khattak, H Almujibah, A Elamary, CM Matara - Sustainability, 2022 - mdpi.com
Road traffic accidents are among the top ten major causes of fatalities in the world, taking
millions of lives annually. Machine-learning ensemble classifiers have been frequently used …

A systematic approach to macro-level safety assessment and contributing factors analysis considering traffic crashes and violations

X Wang, X Zhang, Y Pei - Accident Analysis & Prevention, 2024 - Elsevier
During rapid urbanization and increase in motorization, it becomes particularly important to
understand the relationships between traffic safety and risk factors in order to provide …

[HTML][HTML] Investigating the contributory factors influencing speeding behavior among long-haul truck drivers traveling across India: Insights from binary logit and …

BS Rashmi, S Marisamynathan - International Journal of Transportation …, 2024 - Elsevier
Speeding is one of the most common aberrant driving behaviors among the driving
population. Although research on speeding behavior among drivers has increased over the …

Factors affecting driver speeding behavior in Mumbai school zones

R Raoniar, V Perumal - Transportation Research Part F: Traffic Psychology …, 2025 - Elsevier
Reckless driving, especially speeding, is a dangerous behavior associated with fatalities,
particularly among school children, and it greatly contributes to deadly accidents in school …

Occupational road safety management: a preliminary insight for a landfill remediation site

M Lombardi, F Mauro, D Berardi, M Galuppi - Buildings, 2023 - mdpi.com
Road crashes have been internationally recognized as one of the main causes of death. On
one hand, in Europe, many governments are struggling with the ambitious target of zero …

Using a decision tree to compare rural versus highway motorcycle fatalities in Thailand

I Mohamad, S Jomnonkwao, V Ratanavaraha - Case studies on transport …, 2022 - Elsevier
Thailand ranks first in Asia and ninth in the world in term of road accident. As of 2020, the
number of vehicles registered in Thailand was over 41 million, with motorcycles accounting …