Article
Engineering, Marine
Zhao Liu, Boyuan Zhang, Mingyang Zhang, Helong Wang, Xiuju Fu
Summary: Ship collision risk analysis is crucial for maritime traffic management and surveillance in real operational conditions. However, the traditional concept of the closest point of approach (CPA) is limited, especially in coastal areas. Therefore, this paper presents a quantitative analysis method using both static and dynamic information of Automatic Identification System (AIS) data to measure ship collision risk. The proposed method calculates the closest points of ship-ship collision (CPC) and estimates dynamic ship collision boundaries through CPC. Additionally, a vessel conflict ranking operator is introduced to evaluate ship collision risk by considering static and dynamic information of AIS.
Article
Computer Science, Interdisciplinary Applications
Jisang Ha, Myung-Il Roh, Hye-Won Lee
Summary: A new method is proposed for the quantitative calculation of collision risk (CR) in ship navigation, combining advantages of ship domain and closest point of approach (CPA) methods. This method ensures reliable collision avoidance by defining the ship domain as a critical value of CR and adjusting coefficients for CR calculation based on distance from the ship domain. Additionally, maneuvering performance and heading angle of ships are considered in CR calculation.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2021)
Article
Engineering, Marine
Pengfei Chen, Mengxia Li, Junmin Mou
Summary: This research developed a new ship collision risk analysis method using AIS data, applying a velocity obstacle-based risk measurement to assess collision risk and encounter complexity, and using a density-based clustering technique to identify hotspots of ship traffic, serving as an indicator for maritime safety operators.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Review
Engineering, Marine
Mirko Coric, Sadko Mandzuka, Anita Gudelj, Zvonimir Lusic
Summary: This paper reviews quantitative ship collision frequency estimation models for waterway risk assessment. A total of 29 models are classified and described, with a focus on the criteria for detecting potential collision candidates, causation probability, and correlation with real collision statistics. Limitations of existing models and possibilities for future improvements are discussed.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Industrial
P. Antao, S. Sun, A. P. Teixeira, C. Guedes Soares
Summary: The paper evaluates the contribution of specific Risk Influencing Factors to ship collision accidents using a combination of Cox proportional hazard regression model, Bayesian rule, and least-squares method. Historical data of collision accidents worldwide and information of the world's merchant fleet are used for the assessment. Based on a global sample of 936 collision events from 2005 to 2017, six Risk Influencing Factors are assessed, including Ship length, Ship type, age of the ship, Classification Society, flag, and geographical area. The results indicate that ship type and geographical area have the greatest impact on ship collisions.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Marine
Jinxian Weng, Jiaxin Du, Kun Shi, Shiguan Liao
Summary: This study aims to estimate ship collision risk by considering both the frequency and severity of accidents, and to explore the influence of ship domain shapes on estimation results in the Yangtze River estuary waterway. The results show that elliptical ship domains may overestimate head-on and overtaking collisions, while underestimating small-angle and large-angle crossing collision frequency. On the other hand, sector domains may underestimate the occurrence frequency of all collision types. The study also identifies two high-risk areas in the waterway.
Article
Engineering, Industrial
Mengxia Li, Junmin Mou, Pengfei Chen, Hao Rong, Linying Chen, P. H. A. J. M. Van Gelder
Summary: In this research, an improved Rule-aware Time-varying Collision risk Model is proposed, which takes into consideration the estimation of target ship motion and the corresponding uncertainty. Ship maneuverability, COLREGs, and good seamanship are integrated into the model to align it with real-life situations. The model utilizes Gaussian process to predict the potential trajectories of the target ship and incorporates the uncertainty of the target ship's motion using the Probabilistic Velocity Obstacle model. Experimental results show that the improved model can more accurately detect collision risks.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Marine
Kai Zheng, Yi Jiang, Shikun Zhou, Yang Xue
Summary: This paper investigates ship collision risk assessment from a new perspective and proposes a comprehensive and flexible assessment algorithm by developing a spatiotemporal ship domain model and introducing a spatiotemporal metric. The effectiveness of the algorithm is validated through simulation studies.
Article
Engineering, Marine
Ryan Wen Liu, Xiaojie Huo, Maohan Liang, Kai Wang
Summary: Ship collisions pose a primary threat to sea traffic safety, and this paper proposes a modeling, visualization, and prediction framework to analyze ship collision risk. The framework introduces quaternion ship domain to account for ship maneuverability, employs kernel density estimation model for visualizing collision risk, and utilizes convolutional long short-term memory network to extract and predict spatial-temporal risk.
Article
Engineering, Marine
Hitoshi Yoshioka, Hirotada Hashimoto, Hidenari Makino
Summary: This paper presents a decision-making algorithm for ship collision avoidance that calculates collision risk based on encounter state and provides an optimal route-planning algorithm.
Article
Engineering, Marine
Jiao Liu, Guo-You Shi, Kai-Ge Zhu
Summary: In this paper, a novel ship collision risk evaluation model is proposed by establishing a fuzzy quaternion ship domain (FQSD) model and introducing two parameters for calculation. The simulation results demonstrate the superiority and efficacy of the proposed algorithm for assessing ship collision risk.
Article
Engineering, Marine
Qinghua Zhu, Yongtao Xi, Shenping Hu, Jianjun Wu, Bing Han
Summary: Collision accidents are the most common type of ship traffic accidents. Analyzing the spatial-temporal characteristics during the ship encounter process can help in discovering the accident evolution mechanism. A spatial-temporal analysis method was developed using maritime accident investigation reports to reveal the evolution characteristics of potential collision risk during the encounter between two ships.
Article
Engineering, Marine
Shaobo Wang, Yingjun Zhang, Ran Huo, Wengang Mao
Summary: This paper proposes a realtime ship collision risk perception model that takes into account the uncertainty of ship position prediction and integrates route information to perceive potential collision risks in advance and reduce collision accidents.
Article
Engineering, Civil
Trym Tengesdal, Tor A. Johansen, Edmund F. Brekke
Summary: The article introduces a new approach for ship-ship collision probability estimation based on the CE method, as well as the COLAV system considering obstacle uncertainty. Simulation results demonstrate that the PSB-MPC can utilize the CPE for better risk assessment and safer decision-making.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Xudong Ye, Wei Fan, Yanyan Sha, Xugang Hua, Qinglin Wu, Yongli Ren
Summary: This study investigates the fluid-structure interaction behavior during ship-bridge collisions with different impact angles using high-fidelity physics-based finite-element models. It is found that the current constant added mass method is unsuitable for oblique collisions and the current design specifications underestimate the impact force and dissipated energy.
ENGINEERING STRUCTURES
(2023)
Article
Engineering, Marine
Lei Du, Floris Goerlandt, Osiris A. Valdez Banda, Yamin Huang, Yuanqiao Wen, Pentti Kujala
Article
Environmental Sciences
Floris Goerlandt, Jie Li, Genserik Reniers
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Review
Green & Sustainable Science & Technology
Yunfeng Yang, Guohua Chen, Genserik Reniers, Floris Goerlandt
JOURNAL OF CLEANER PRODUCTION
(2020)
Article
Engineering, Chemical
Liangliang Lu, Floris Goerlandt, Kristjan Tabri, Anders Hoglund, Osiris A. Valdez Banda, Pentti Kujala
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
(2020)
Article
Environmental Sciences
Tuuli Parviainen, Floris Goerlandt, Inari Helle, Paivi Haapasaari, Sakari Kuikka
Summary: The study highlights the significant risk of large-scale oil spills in marine environments with the growth of international maritime transport. It proposes integrating Bayesian risk models with the ISO 31000:2018 framework as a flexible approach for comprehensive oil spill risk management.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Industrial
Jie Li, Floris Goerlandt, Genserik Reniers
Summary: Scientometrics analysis is increasingly used in various scientific fields to obtain quantitative insights on specific research areas by visualizing data metrics. The method allows researchers to gain a deeper understanding of different aspects of a scientific domain. Various methods have been developed to answer specific research questions, such as collaboration networks, thematic research clusters, historic evolution patterns, and trends in research topics.
Article
Engineering, Marine
Lei Du, Osiris A. Valdez Banda, Floris Goerlandt, Pentti Kujala, Weibin Zhang
Summary: The study proposes a method to improve near miss detection by analyzing ship behavior characteristics, considering factors such as ship attributes, navigator's risk perception, traffic complexity, and traffic rules. The severity of detected near misses is quantified into four levels, showing promising results in the Northern Baltic Sea traffic data and contributing to the development of preventive measures in maritime management. Potential advantages and limitations of the method for near miss detection are also discussed.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Marine
Liangliang Lu, Pentti Kujala, Floris Goerlandt
Summary: This paper proposes a method to assess the operability of ships in dynamic ice conditions, aiming to provide important information for ship routing. By introducing a transit model and ship performance modeling, successful case studies of independent navigation and escort operations were conducted, with reasonable agreement obtained.
Article
Engineering, Industrial
Lei Du, Osiris A. Valdez Banda, Yamin Huang, Floris Goerlandt, Pentti Kujala, Weibin Zhang
Summary: This paper introduces a new ship domain concept and analytical framework that estimates the size of the ship domain based on the ship's first evasive maneuver and the perceived collision risk level. The method is applied to AIS data in the Northern Baltic Sea, constructing separate ship domains with different maneuverability characteristics and explicitly incorporating the dynamic nature of encounter process and evasive maneuvers.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Editorial Material
Engineering, Industrial
Floris Goerlandt, Jie Li, Genserik Reniers, Georgios Boustras
Review
Engineering, Industrial
Shanshan Fu, Floris Goerlandt, Yongtao Xi
Summary: This paper presents a bibliometric analysis of academic literature related to risk management of Arctic shipping from 2000 to 2019, providing insights into publication patterns and origins of the work. Through a qualitative systematic review, a synthesis of risk influencing factors of navigational accidents in the Arctic is presented, including a model illustrating relationships among environmental and ship-related factors. Discussions are made on challenges in research and future directions, focusing on evidence in risk models, accident theories used, and alignment of academic work with regulatory contexts.
Editorial Material
Engineering, Industrial
Floris Goerlandt, Jie Li, Genserik Reniers
Article
Engineering, Industrial
Floris Goerlandt, Samsul Islam
Summary: Coastal communities are vulnerable to disasters like hurricanes, earthquakes, and tsunamis due to their heavy reliance on maritime transportation for essential goods. This article introduces a Bayesian Network risk model for estimating delays in maritime transportation to island communities in British Columbia after a major earthquake. The model, primarily expert-driven, considers various factors such as earthquake intensity, infrastructure damages, shipping impacts, and community needs to estimate delay times in different scenarios, supporting regional disaster preparedness planning.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Public, Environmental & Occupational Health
Floris Goerlandt, Jie Li
Summary: Risk Analysis, first published in 1981, has made significant contributions in the understanding of risk-related concepts and theories, and has become a leading platform for disseminating new knowledge. This article presents a scientometric overview of the journal between 1981 and 2020, analyzing publication trends, structure, leading countries/regions, institutions, authors, and collaboration networks, aimed at providing insights for early career academics and risk practitioners.
Article
Transportation
Floris Goerlandt, Huiyan Liu
Summary: Maritime accident reporting is an important means of experience feedback, but the readability of such reports is currently unknown. This study analyzes the readability of maritime accident reports and finds that the language used is generally at a post-secondary reading level. Reports from a specific organization are easier to read than others, and there is significant variation in readability among different organizations.
MARITIME POLICY & MANAGEMENT
(2023)
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.