Article
Mathematics
Marcello Pompa, Antonio Cerasa, Simona Panunzi, Andrea De Gaetano
Summary: The dynamics of pedestrian crowds during tragic events are complex due to a combination of human behaviors and self-organization. The Alert-Panic-Control (APC) model is a mathematical model that represents these processes and focuses on psychologists' perspectives. This study proposes a Hybrid APC (HAPC) model that includes new processes like resonance effects, panic-induced victims, new interactions based on imitation and emotional contagion, and the simulation of multiple disaster situations. Simulated scenarios showed that within the first 5 minutes, 54.45% of the population moved to an alert state, 13.82% entered a control state, and 31.73% experienced panic, indicating a quick response to tragic incidents.
Article
Geosciences, Multidisciplinary
Hamid Bahadori, Hamed Vahdat-Nejad, Hossein Moradi
Summary: This paper proposes CrowdBIG, a crowdsourcing-based architecture for acquiring information from disaster environments using the sensing, processing, and communication capabilities of smartphones. The system includes a reputation management component to detect malicious users and score useful ones. Simulation results show that the system achieves a reliability of 92%. A usability evaluation survey indicates that over 80% of participants rated the information-gathering tool as good or excellent.
Article
Construction & Building Technology
Yiqi Zhou, Junfeng Chen, Maohua Zhong, Zhongwen Li, Wei Zhou, Zhijie Zhou
Summary: With the increase of passengers using metro systems, the risk of occupant instability and stampede on metro platforms becomes significant. This research proposes a 7-phase model to accurately estimate the risk of crowd gathering on each platform and analyze the temporal and spatial distribution of crowd-gathering risk on all metro platforms.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Physics, Multidisciplinary
Jing Liu, Yang Jia, Tianlu Mao, Zhaoqi Wang
Summary: This paper investigates the evacuation behavior of crowds during terrorist attacks. It presents a floor field model extended for simulating dual-role crowds in a three-dimensional space. The model considers obstacles that obstruct the evacuation route of pedestrians as well as the attacker's pursuit route. The study reveals that a single obstacle in front of an exit is beneficial for evacuation, higher-density obstacles provide better protection for pedestrians, and the direction of the aisle between obstacles should align with the direction of the exit for efficient evacuation and reduced casualties.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Valentina Lanza, Damienne Provitolo, Nathalie Verdiere, Cyrille Bertelle, Edwige Dubos-Paillard, Oscar Navarro, Rodolphe Charrier, Irmand Mikiela, Moulay Aziz-Alaoui, Abdel Halim Boudoukha, Anne Tricot, Alexandra Schleyer-Lindenmann, Alexandre Berred, Sebastien Haule, Emmanuel Tric
Summary: In a world increasingly impacted by natural and/or industrial disasters, it is crucial to comprehend, analyze, and manage human behavior during such events. This article presents the outcome of a cross-disciplinary collaboration between geographers, psychologists, mathematicians, computer scientists, operational staff, and risk management stakeholders. Through this collaboration, a diverse range of behavioral reactions during disasters were identified and categorized. These behavioral dynamics are described by the APC (Alert-Panic-Control) mathematical model, which incorporates cognition and social contagion as essential elements. Multiple scenarios were developed, and a qualitative analysis of the model was conducted to explore the influence of crowd density and risk culture on behavioral dynamics.
Article
Computer Science, Information Systems
Jianqiang Xu, Haoyu Zhao, Weidong Min, Yi Zou, Qiyan Fu
Summary: This paper proposes a novel framework for crowd gathering detection based on deep learning and statistics. The framework shows robust representation of gathering features and high detection accuracy, and has potential applications in social security and smart city domains.
Article
Computer Science, Artificial Intelligence
Liu Bai, Cheng Wu, Feng Xie, Yiming Wang
Summary: This study establishes a static basic model based on personal space theory, considers crowd psychology and uses M-CNN to extract local density features to establish a holographic model and propose a new crowd gathering safety assessment method. The method was applied to a landmark in Suzhou and provided theoretical support for safety management of crowd gathering places.
IMAGE AND VISION COMPUTING
(2021)
Article
Engineering, Civil
Wenhan Wu, Jinghai Li, Wenfeng Yi, Xiaoping Zheng
Summary: The study shows that the Behavioral Heterogeneity-based Social Force Model (BHSFM) provides a more reasonable and elaborate description of evacuation processes and can lead to interesting evacuation phenomena. By integrating the behavioral heterogeneity coefficient with temporal-spatial dynamic risk indexes, the model can achieve a higher frequency of small-scale displacements.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Wenqun Xiu, Shuying Wang, Wenguang Qi, Xue Li, Chisheng Wang
Summary: Landfill landslide is a human-made event caused by poorly managed garbage mounds at landfills collapsing, which has become more common in cities in recent decades due to increasing waste volumes. Current studies often treat landslides as single, independent events without considering their complex chain effects. This research proposes a disaster chain analysis framework using scenario simulation and chain-cutting modeling to comprehensively assess the impact factors at each stage.
Article
Computer Science, Interdisciplinary Applications
Jacob Sinclair, Hemmaphan Suwanwiwat, Ickjai Lee
Summary: This paper proposes a realistic agent-based framework for crowd simulations that integrates physical, mental, and visual data by using a hybrid data gathering approach. The framework incorporates the collected data into the simulation model to provide realism and flexibility. The performance of the framework is evaluated and benchmarked to demonstrate its robustness and effectiveness.
JOURNAL OF SIMULATION
(2023)
Review
Economics
Milad Asadpour, Tava Lennon Olsen, Omid Boyer
Summary: This article reviews the blood supply chain (BSC) in disaster situations, which has received increasing research attention in recent years. The authors provide a comprehensive review of quantitative models for BSCs, analyze solution methods, and offer practical directions for future research.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Mathematics, Applied
Abhishek Kumar, Kanica Goel, Nilam
Summary: This study proposes a new approach to counter-terrorism through compartmental mathematical modeling. It introduces the concept of influence time and uses delay differential equations to model terrorism dynamics. The results suggest the effectiveness of the proposed counter-terrorism approach and provide valuable insights for policymakers in developing effective strategies.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2023)
Article
Chemistry, Analytical
Seong-Jin Yun, Jin-Woo Kwon, Won-Tae Kim
Summary: Disaster management systems require accurate disaster monitoring and prediction services to reduce damages caused by natural disasters. This study proposes a digital twin architecture that provides accurate disaster prediction services using a similarity-based hybrid modeling scheme, which reduces prediction errors by approximately 50%.
Article
Chemistry, Analytical
Adnan Nadeem, Muhammad Ashraf, Nauman Qadeer, Kashif Rizwan, Amir Mehmood, Ali AlZahrani, Fazal Noor, Qammer H. Abbasi
Summary: In this paper, an intelligent mechanism for tracking missing persons in a large gathering scenario is proposed. The mechanism includes online reporting, estimation of geo fence settings, optimized face detection using various algorithms, and face recognition for finding missing persons. The mechanism performs well in low resolution image tests.
Article
Pharmacology & Pharmacy
Julia Tarnoki-Zach, Szilvia Bosze, Andras Czirok
Summary: In the preclinical phase of drug development, in vitro barrier models are reliable and cost-effective for screening substances. This pilot study characterizes the transport properties of TB501, an antimycobacterial drug candidate, using an in vitro barrier model of VERO E6 kidney cells. The study reveals the diffusion barrier function of the cell layer and proposes a mathematical model for detailed pharmacokinetic characterization.
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.