Article
Ergonomics
Atiq W. Siddiqui, Syed Arshad Raza, Muhammad Ather Elahi, Khurram Shahid Minhas, Farhan Muhammad Butt
Summary: This paper proposes a method to study road accident mortality patterns by identifying structural shifts or breaks in road safety data and evaluating various factors. The analysis of a case study reveals the impact of road safety interventions at different levels.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Chemistry, Multidisciplinary
Shatha Aser Aldala'in, Nur Sabahiah Abdul Sukor, Mohammed Taleb Obaidat, Teh Sabariah Binti Abd Manan
Summary: The study aims to determine the relationship between geometric design parameters and road accident criteria in hotspot areas on Jordan's Desert Highway. By using GIS tool Getis-Ord G(i)*, 80 road accident hotspots were identified, and it was found that horizontal alignment and road intersections significantly affect accidents in these areas, while vertical alignment has no impact.
APPLIED SCIENCES-BASEL
(2023)
Article
Ergonomics
Francesca La Torre, Lorenzo Domenichini, Valentina Branzi, Monica Meocci, Andrea Paliotto, Niccolo Tanzi
Summary: This study provides a new approach for developing European accident prediction models based on the Highway Safety Manual (HSM), with jurisdiction-specific base conditions. The results show that this approach offers more suitable models for European countries compared to the HSM predictive model.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Psychology, Multidisciplinary
Silke von Beesten, Andre Bresges
Summary: The World Health Organization estimates that 1.3 million people are killed and over 50 million people are injured in road traffic accidents each year. A study shows that more young people aged 15 to 29 die in traffic accidents than from illness, drugs, suicide, violence, or war events worldwide. Global traffic accident prevention campaigns aim to encourage drivers to adopt safe driving behavior through emotional demonstrations of the consequences of accidents. Research suggests that successful prevention campaigns require emotional appeals accompanied by problem-solving measures and increased self-confidence. Targeted training in schools can be an effective follow-up to emotional prevention campaigns, enhancing knowledge acquisition and application.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Business
Vijay Pereira, Umesh Bamel, Happy Paul, Arup Varma
Summary: This study conducts a comprehensive systematic review of research on the relationship between personality and safety behaviors in road and traffic safety. It identifies key areas, current global trends, and suggests future research directions. The results indicate that more research is needed on wider personality traits and subtypes, different structures of personality, longitudinal designs, and behavioral methods. There is also potential to utilize personality research for accident prevention and the development and prediction of self-driving vehicles.
JOURNAL OF BUSINESS RESEARCH
(2022)
Article
Environmental Sciences
Tao Chen, Zhonghong Cao
Summary: A multiple linear regression model was established to explore the relationship between the number of accident deaths (NCD) in construction safety and factors such as economy and construction labor in 31 provinces (regions) of China from 2009 to 2018. The results showed that profits and taxes, as well as death rate, were positively correlated with NCD, while labor productivity was negatively correlated with it. The model effectively predicted NCD in different provinces and cities from 2019 to 2020 using quadratic exponential smoothing.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Public, Environmental & Occupational Health
Qinzhong Hou, Xiaoyan Huo, Andrew P. Tarko, Junqiang Leng
Summary: This study thoroughly evaluated six different models for handling unobserved heterogeneity and found that the random parameters approach is the most effective. Complex models can provide more insights but come with higher computational costs.
ANALYTIC METHODS IN ACCIDENT RESEARCH
(2021)
Article
Ergonomics
Derek D. Wang
Summary: This paper examines the impact of traffic accidents on transportation efficiency and introduces the concept of safety-adjusted transportation efficiency. Through analyzing 20 years of data from 31 provinces in China, it is found that most provinces have improved their safety-adjusted transportation efficiency, with an overall U-shaped trend. Evidence of convergence in safety-adjusted transportation efficiency among provinces is also identified.
ACCIDENT ANALYSIS AND PREVENTION
(2021)
Article
Engineering, Industrial
Andreas Hula, Rins de Zwart, Celina Mons, Wendy Weijermars, Hitesh Boghani, Pete Thomas
Summary: The aim of this article is to derive a functional relationship (dose-response curve) between the proportion of automated vehicles on the road (penetration rate) and the expected accident numbers/fatalities of interactions with vulnerable road users. Through analyzing current accident causes and comparing the reaction time of automated vehicles and human drivers, the potential reductions in accidents and fatalities can be estimated and expressed as a relationship between the proportion of automated vehicles and the accident numbers/fatality rates of accidents between motorized vehicles and vulnerable road users.
Article
Public, Environmental & Occupational Health
Jinlong Qiu, Guodong Liu, Ao Yang, Kui Li, Hui Zhao, Mingxin Qin
Summary: There are differences in the occurrence and severity of traffic casualties between the western and eastern regions of China. Traffic accidents are increasing in high-altitude areas of western China and lead to more severe casualties. Improving road safety facilities, speed restrictions, and medical treatment at accident scenes may be effective measures to reduce traffic accident injuries in the western region.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Automation & Control Systems
Guo Xie, Anqi Shangguan, Rong Fei, Xinhong Hei, Wenjiang Ji, Fucai Qian
Summary: This article proposes an improved artificial neural network method to predict and analyze the severity of vehicle accidents, aiming to reduce the probability of road traffic accidents. By constructing a multiple-input and multiple-output neural network prediction model and optimizing the hyperparameters of the network model, the efficiency of the model prediction is improved. Accuracy calculations and analysis based on a large amount of traffic accident data show that the proposed method has higher accuracy and stability.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Medicine, General & Internal
Puspa Raj Pant, Pranita Rana, Kriti Pradhan, Sunil Kumar Joshi, Julie Mytton
Summary: This study used the Delphi approach to identify and prioritize the research needed to improve the road safety system in Nepal. Through interviews, ranking, and workshops, six urgent research questions were identified, providing important directions for future road safety research in Nepal.
Article
Engineering, Civil
Kaoutar Sefrioui Boujemaa, Ismail Berrada, Khalid Fardousse, Othmane Naggar, Francois Bourzeix
Summary: Traffic accidents are a major cause of death globally, leading to significant daily losses for road users and authorities. Effective dynamic road security systems are needed to address this issue. Traffic accident data analysis is a promising approach for improving road safety, but translating it into practical road safety decisions remains a challenge.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Industrial
Huanxin Wang, Zhengjiang Liu, Xinjian Wang, Tony Graham, Jin Wang
Summary: This study explores the relationship between marine accidents severity and various influencing factors, such as ship types, weather conditions, crew qualifications, and ship certificates. The results indicate a complex interplay among these factors, highlighting the importance of preventing serious marine accidents.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Green & Sustainable Science & Technology
Penghui Zhao, Jianxiao Ma, Chubo Xu, Chuwei Zhao, Zifan Ni
Summary: This study investigates the impact of left hard shoulders on the safety of vehicles traveling on multi-lane highways. By constructing a simulation model and analyzing conflict characteristics, it is found that setting left hard shoulders can significantly reduce traffic conflicts and improve safety levels on multi-lane freeways. The study also highlights the effectiveness of left hard shoulders in improving safety on one-way five-lane highways. The findings can help develop specifications for installing hard shoulders and enhance the safety of multi-lane highways.
Article
Engineering, Industrial
Hao Sun, Haiqing Wang, Ming Yang, Genserik Reniers
Summary: To maintain continuous production, chemical plant operators may choose to ignore or handle faults online rather than shutting down process systems. However, the interaction and interdependence between components in a digitalized process system are significant, and faults can propagate to downstream nodes, potentially leading to risk accumulation and major accidents. This study proposes a dynamic risk assessment method that integrates the system-theoretic accident model and process approach (STAMP) with the cascading failure propagation model (CFPM) to model the risk accumulation process. The proposed method is applied to a Chevron refinery crude unit and demonstrates its effectiveness in quantifying the process of risk accumulation and providing real-time dynamic risk profiles for decision-making.
Article
Engineering, Industrial
M. Rempel
Summary: This article examines a major maritime disaster scenario and explores the evacuation process in such a situation. The study finds that there are various factors that affect the number of lives saved, including the uncertainty of individuals' medical condition, the arrival time of maritime and air assets, and the decision policies used. The authors formulate the multi-domain operation as a sequential decision problem using a modeling framework and provide decision support through a hypothetical case study.
Review
Engineering, Industrial
D. Scorgie, Z. Feng, D. Paes, F. Parisi, T. W. Yiu, R. Lovreglio
Summary: This study investigates the application and effectiveness of VR safety training solutions in various industries such as construction, fire, aviation, and mining. The findings suggest a need for more studies that adopt theories and measure long-term retention. Two meta-analyses demonstrate that VR safety training outperforms traditional training in terms of knowledge acquisition and retention.
Article
Engineering, Industrial
Shital Thekdi, Terje Aven
Summary: This paper examines biases in risk studies and investigates how to identify and address them to ensure high-quality risk analysis. By considering biases related to systematic error, event inclusion, models, and cognitive factors, the paper explores their influence on risk characterization. The insights gained from this exploration can be valuable to risk analysts, policymakers, and other stakeholders involved in risk study applications.
Article
Engineering, Industrial
Maryam Lari
Summary: Occupational health and safety (OHS) are crucial for employee well-being and productivity. This study examines the impact of OHS practices on employee productivity in a UAE Fire and Security company, finding that OHS interventions can enhance workplace ambiance and significantly boost employee productivity.
Review
Engineering, Industrial
Elleke Ketelaars, Cyrille Gaudin, Simon Flandin, Germain Poizat
Summary: This systematic literature review examines the literature on resilience training (RT), specifically focusing on the effectiveness of RT interventions in preparing professionals to effectively respond to critical situations. The review identifies five types of RT and suggests the need for conceptual advancements, vocational education and training perspectives, and a cross-disciplinary approach in future research to enhance resilience in safety-related domains.
Article
Engineering, Industrial
Meng Shi, Zhichao Zhang, Wenke Zhang, Yi Ma, Hanbo Li, Eric Wai Ming Lee
Summary: This study investigates pedestrian behaviours and evacuation processes in both fire and non-fire conditions using Minecraft. The results demonstrate the potential of Minecraft for realistically simulating evacuation processes, as the behaviours and flow patterns of pedestrians in virtual experiments fit well with real-life experiments. The study also shows that pedestrians exhibit fire avoidance behaviours and orderly queuing during a fire emergency, resulting in faster evacuation.
Article
Engineering, Industrial
Andrea Bikfalvi, Esperanza Villar Hoz, Gerusa Gimenez Leal, Monica Gonzalez-Carrasco, Nuria Mancebo
Summary: This paper proposes a solution for integrating occupational safety and health (OSH) into education, combining theoretical foundations and empirical evidence. The findings include analysis of teachers as stakeholders, barriers and facilitators of OSH integration, and the development of an ICT tool for interaction and sharing in this field. The main contribution lies in envisioning, orchestrating, and validating a solution to integrate OSH into schools and ultimately contribute to sustainable development goals.
Article
Engineering, Industrial
David Rehak, Alena Splichalova, Martin Hromada, Neil Walker, Heidi Janeckova, Josef Ristvej
Summary: This article discusses the adoption of a new directive on the resilience of critical entities and emphasizes the importance of assessing their level of resilience in relation to current security threats. The authors have developed a tool, known as the CERFI Tool, which uses a probabilistic algorithm to predict the failure point of critical entity resilience based on the relationship between threat intensity and protection. The tool is important for increasing the safety of technically oriented infrastructures, particularly in the energy and transport sectors.
Review
Engineering, Industrial
Leonardo Leoni, Ahmad Bahootoroody, Mohammad Mahdi Abaei, Alessandra Cantini, Farshad Bahootoroody, Filippo De Carlo
Summary: This paper presents a systematic bibliometric analysis (SBA) on the research of machine learning and deep learning in the field of safety. The main research areas, application fields, relevant authors and studies, and temporal evolution are investigated. It is found that rotating equipment, structural health monitoring, batteries, aeroengines, and turbines are popular fields, and there is an increase in popularity of deep learning and new approaches such as deep reinforcement learning.
Article
Engineering, Industrial
Tom Becker, Peter Ayton
Summary: By analyzing global civil aviation data, we found that there is a significant increase in the number of accidents and safety critical incidents, as well as the fatalities, when the Pilot-in-Command acts as the Pilot Flying instead of the Pilot Monitoring. Most of these events occurred in technically airworthy aircraft without any emergencies, and the flight crew assessed them as preventable. These findings align with the crew assignment effect, suggesting that role-dependent status hierarchy and cognitive overload contribute to ineffective flight crew teamwork. The measures implemented to enhance flight crew teamwork, such as Crew Resource Management training, have not been successful in preventing these issues.
Article
Engineering, Industrial
Ben Hutchinson, Sidney Dekker, Andrew Rae
Summary: This study found that health and safety audits often fail to identify critical deficiencies, with corrective actions mainly focusing on superficial fixes rather than addressing significant operational risks.
Review
Engineering, Industrial
Sina Rasouli, Yaghoub Alipouri, Shahin Chamanzad
Summary: Construction projects are risky environments, but the development of Personal Protective Equipment (PPE) and comprehensive safety management can effectively control the number of accidents.
Article
Engineering, Industrial
Laura Mills, Verity Truelove
Summary: This study investigated the use of police location communities (PLCs) for obtaining information about roadside drug testing (RDT) among drivers, and found that drivers who used PLCs were more concerned about being caught for drug driving, had a better understanding of the related penalties and procedures, and knew others who also used PLCs to avoid detection for drug driving. Furthermore, the study found that the use of PLCs was associated with choosing back roads for driving, which may reduce the risk of detection for drug driving.
Review
Engineering, Industrial
Chao Wu, Xi Huang, Bing Wang
Summary: After decades of development, the safety discipline in China has made remarkable progress. The project led by the Safety & Security Theory Innovation and Promotion Center of Central South University has filled the gaps in safety science education by creating textbooks and courses for postgraduate students. These achievements have played an important role in the development of safety science and can serve as a reference for basic research and talent training in safety science globally.