Article
Engineering, Industrial
Zhenhua Luo, Juntao Guo, Jianqiang Han, Yuhong Wang
Summary: This study aims to evaluate the construction safety risks of prefabricated subway stations in China and formulate corresponding countermeasures. By establishing an evaluation index system and a hybrid evaluation model, it reveals that the level of construction safety risks in prefabricated subway station projects is relatively low. Man risk, machine risk, and method risk are the key factors affecting the overall risk of the projects. The research results provide guidance for management personnel to deeply understand the construction safety risks of prefabricated subway stations.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Construction & Building Technology
Zhipeng Zhou, Song Liu, Haonan Qi
Summary: This paper introduces a Bayesian network-based approach for risk modeling in subway construction, aiming to avoid collapses and derivative accidents. It proposes a risk-based method for calculating severity values and conducts sensitivity analyses to identify critical causal factors. The findings demonstrate the applicability of the approach in dynamic investigation and prediction of collapse risks.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Construction & Building Technology
Kunpeng Wu, Jianshe Zhang, Yanlong Huang, Hui Wang, Hujun Li, Huihua Chen
Summary: This study combines text mining, association rules, and complex networks to deeply understand subway construction safety incidents and explore the risk transfer process. The results provide new ideas and methods for identifying and analyzing subway construction safety risks.
Article
Construction & Building Technology
Qiankun Wang, Jiaji Zhang, Ke Zhu, Peiwen Guo, Chuxiong Shen, Zhihua Xiong
Summary: With the rapid urbanization, the construction of urban subway tunnel networks is becoming deeper, denser, and larger. However, there is a lack of systematic identification and dynamic reasoning analysis of factors in the whole process of subway tunnel construction using the mining method. In order to improve safety risk management, a dynamic safety evaluation method based on Fuzzy Set Theory and Bayesian Network is proposed. This research provides insights for the scientific management of safety risks in the construction of subway tunnels using the mining method.
Article
Chemistry, Multidisciplinary
Leian Zhang, Junwu Wang, Han Wu, Mengwei Wu, Jingyi Guo, Shengmin Wang
Summary: In this study, a novel early risk warning model for subway station construction was proposed based on least-squares support vector machines (LSSVM) and quantum-behaved particle swarm optimization (QPSO). By selecting early warning factors and optimizing calculation parameters, the model demonstrated high prediction accuracy and fast prediction speed on empirical objects.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Industrial
Shang Zhang, Martin Loosemore, Riza Yosia Sunindijo, Shane Galvin, Jin Wu, Suyuan Zhang
Summary: The rapid development of subway projects in China has introduced significant safety risks for those involved. This study assesses the safety risk management performance in Chinese subway construction projects from a multistakeholder perspective. Questionnaire surveys and semistructured interviews with 399 construction professionals reveal that construction plan development, management of high-risk construction works, hazard identification and communication, government-related factors, and client-related factors are the top areas of safety risk management performance. Conversely, engineering consultant-related factors, the site's natural environment and weather conditions, regular tests, machine calibration and maintenance, site construction schedule, and construction preparedness are the bottom areas of safety risk management performance. The study highlights priority areas for improvement and offers practical insights for policymakers and project managers to enhance the safety performance of these projects.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Review
Construction & Building Technology
Yin Junjia, Aidi Hizami Alias, Nuzul Azam Haron, Nabilah Abu Bakar
Summary: This paper explores the factors and methods of risk assessment in hoisting for industrial building system construction. Future research will focus on ergonomics, machine learning, computer simulation, and wearable sensors. The previous 80 factors contributing to hoisting risks are summarized, and the application of artificial neural networks and digital twins is discussed.
Article
Chemistry, Multidisciplinary
Qingfu Li, Jianpeng Zhou, Jinghe Feng
Summary: With China's increasing investment in the transportation industry, the construction of highways and bridges has flourished, bringing great convenience to people's lives. However, there are uncertain factors and construction risks in bridge construction. To meet the requirements of sustainable development, it is necessary to accurately evaluate the safety risk level of bridge construction. Therefore, a new scientific safety risk evaluation system for highway bridge construction is necessary.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Marine
Ping Wu, Linxi Yang, Wangxin Li, Jiamin Huang, Yidong Xu
Summary: This paper presents a construction safety risk assessment approach for nearshore tunnels based on multi-data fusion. It addresses the issue of temporal effectiveness in traditional methods and introduces the confidence Hellinger distance for improvement. The evaluation of the specific nearshore tunnel in Ningbo includes calculation of similarity, support degree, and weight factors, and visualizes risk monitoring points using Revit secondary development technology.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Construction & Building Technology
Junwu Wang, Feng Guo, Yinghui Song, Yipeng Liu, Xuan Hu, Chunbao Yuan
Summary: Prefabricated buildings are being promoted in China as a more environmentally friendly option due to reduced waste and carbon emissions. This paper combines Bayesian Network (BN) and an improved Human Factors Analysis and Classification System (HFACS) model to analyze the safety risks during the hoisting process of prefabricated buildings.
Article
Construction & Building Technology
Xuewei Li, Dujuan Yang, Jingfeng Yuan, Alex Donkers, Xuan Liu
Summary: This study proposed a semantic approach to automate safety checking through SPARQL-based reasoning, integrating safety risk factors from different data sources. The framework can improve knowledge sharing and promote real-time and automated safety checking.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Construction & Building Technology
Jianling Huang, Xiaoye Zeng, Jing Fu, Yang Han, Huihua Chen
Summary: This study aims to develop a safety risk assessment model to help project managers evaluate safety risks in high cutting slope construction. By comprehensively analyzing risk technical specifications, literature, and case studies, a list of risk-influencing factors was formed. Based on historical data, a high side slope risk evaluation model was established and applied to an actual case for risk assessment.
Article
Green & Sustainable Science & Technology
Xiaohong Yin, Jiakun Wu
Summary: Based on complex network theory, this study analyzed the structural characteristics of the Hefei subway network and evaluated its robustness after suffering from accidents. The results show that the Hefei subway network is different from a scale-free network and small-world network, and the structure was most severely damaged when facing attacks against critical nodes in the cascading failure scenario. The study's findings could provide a reference for the construction and planning of subway networks.
Article
Physics, Multidisciplinary
Hatem Abdelaty, Moataz Mohamed, Mohamed Ezzeldin, Wael El-Dakhakhni
Summary: This study evaluates the robustness of bus transit networks considering different hourly operations. The findings show significant variation in the hourly performance compared to the daily performance when disruptions occur. The network is more robust during on-peak and mid-peak hours, but is sensitive to losing service frequency compared to passenger flow during disruptions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Construction & Building Technology
Weiyi Ju, Jie Wu, Qingchun Kang, Juncheng Jiang, Zhixiang Xing
Summary: This study focuses on construction safety risks, proposes scientific solutions based on risk assessment models, and reduces the possibility of disasters by considering safety resilience between various indicators. Indicators with higher safety resilience levels were revealed from the research results, providing novel methods for safety management.
JOURNAL OF BUILDING ENGINEERING
(2022)
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.