安全科学与韧性(英文)最新文献_第2页

A fuzzy multi-criteria decision framework for community isolation center site selection to enhance public health resilience 社区隔离中心选址的模糊多准则决策框架以增强公共卫生弹性

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-07-05 DOI: 10.1016/j.jnlssr.2025.100227

Chawis Boonmee , Nannaphat Tanpruttianunt

{"title":"A fuzzy multi-criteria decision framework for community isolation center site selection to enhance public health resilience","authors":"Chawis Boonmee , Nannaphat Tanpruttianunt","doi":"10.1016/j.jnlssr.2025.100227","DOIUrl":"10.1016/j.jnlssr.2025.100227","url":null,"abstract":"<div><div>Infectious disease outbreaks require effective emergency preparedness strategies, including the rapid deployment of community isolation centers. However, selecting suitable locations for these facilities is a complex decision-making problem involving multiple criteria and significant uncertainty, especially regarding public acceptance and infrastructure readiness. This research proposes a fuzzy multi-criteria decision-making framework to support location selection that enhances both operational efficiency and community resilience. The framework defines community resilience not only as the ability to recover from health shocks but also as the capacity to engage with, support, and accept local public health interventions. The model integrates the fuzzy analytic hierarchy process and the fuzzy technique for order preference by similarity to the ideal solution using trapezoidal fuzzy numbers to better represent uncertainty in expert judgments and ambiguity in community feedback. A real-world case study from Chiang Mai, Thailand, evaluates six candidate sites based on criteria such as accessibility, environmental impact, community consent, and emergency readiness. The results demonstrate the model’s capacity to support context-sensitive, transparent, and resilient public health decision-making. This approach contributes to safety science by offering a reproducible and computationally efficient decision-support tool that improves the siting of health infrastructure in response to pandemics. It emphasizes the integration of technical and social dimensions to support emergency preparedness and long-term resilience in vulnerable communities.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100227"},"PeriodicalIF":3.4,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Knowledge and practice of earthquake management among apartment dwellers: A case study of Jakarta City, Indonesia 公寓居民的地震管理知识与实践：以印尼雅加达市为例

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-07-04 DOI: 10.1016/j.jnlssr.2025.100225

Fatmah , Irene Sondang Fitrinitia , Sumiaty Ambran

{"title":"Knowledge and practice of earthquake management among apartment dwellers: A case study of Jakarta City, Indonesia","authors":"Fatmah , Irene Sondang Fitrinitia , Sumiaty Ambran","doi":"10.1016/j.jnlssr.2025.100225","DOIUrl":"10.1016/j.jnlssr.2025.100225","url":null,"abstract":"<div><div>Urban city apartments and flat dwellers face increasing threats from earthquakes, and the current understanding and implementation of earthquake risk reduction techniques in high-rise housing communities remain lacking. Therefore, this study examined the relationships between earthquake management practices and demographic characteristics, vertical housing features, earthquake management knowledge, and emergency response plans. The research employed a cross-sectional study design and included 215 participants from 14 selected apartments. The findings indicated that (1) earthquake management practices vary among individuals aged 35–54, types of dwelling units, dwelling sizes, numbers of rooms, those who have resided in an apartment for 3–5 years, emergency response plans, and knowledge regarding earthquake management (before, during, and after); (2) earthquake management knowledge levels (including mitigation and self-rescue knowledge during an earthquake) are low; (3) emergency response and earthquake management practices are insufficient; and (4) apartment dwellers with moderate knowledge levels of earthquake self-rescue are 12.2 times more likely to have moderate earthquake management practices than those without (OR = 12.2, <em>p</em> = 0.000). The study recommends that the National Disaster Management Authority and the Jakarta City Disaster Risk Reduction Forum collaborate with building managers to develop an annual earthquake mitigation programme to enhance knowledge levels regarding earthquake risk reduction.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100225"},"PeriodicalIF":3.4,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advancing hazardous materials transport safety: Systematic insights on risks, challenges, and research gaps 推进危险材料运输安全：对风险、挑战和研究差距的系统见解

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-28 DOI: 10.1016/j.jnlssr.2025.100226

Kamran Gholamizadeh , Chia Rostami , Esmaeil Zarei , Mohammad Yazdi , Sarbast Moslem

{"title":"Advancing hazardous materials transport safety: Systematic insights on risks, challenges, and research gaps","authors":"Kamran Gholamizadeh , Chia Rostami , Esmaeil Zarei , Mohammad Yazdi , Sarbast Moslem","doi":"10.1016/j.jnlssr.2025.100226","DOIUrl":"10.1016/j.jnlssr.2025.100226","url":null,"abstract":"<div><div>The transportation of hazardous materials (Hazmat) has been essential to supply chains but has posed significant safety risks, resulting in severe human, environmental, and financial impacts. This study systematically reviewed 2078 publications from 1970 to 2022, focusing on trends, challenges, and research gaps in Hazmat transportation safety. Through bibliometric and systematic review methodologies, key areas of investigation, such as risk management, safety routing, and emergency response, were identified. A strong international collaborative network was revealed, with significant emphasis on managing risks. However, critical topics such as human factors, resilience engineering, and security were found to be underexplored. Despite advancements in risk assessment, important gaps remained in addressing dynamic risks and improving model validation using real-world data. Furthermore, it was concluded that future research should address these gaps while enhancing existing methodologies. This review provided a comprehensive analysis of the current research landscape, highlighting areas requiring further exploration and offering valuable insights into improving the safety and sustainability of Hazmat transportation systems. The findings are expected to guide future research efforts and inform policy development, ultimately contributing to the reduction of risks associated with Hazmat transport and advancing safer practices in this essential sector.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100226"},"PeriodicalIF":3.4,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High-performance fire detection framework based on feature enhancement and multimodal fusion 基于特征增强和多模态融合的高性能火灾探测框架

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-26 DOI: 10.1016/j.jnlssr.2025.03.004

Zekun Zhou , Hongyang Zhao , Xingdong Li , Yi Liu , Tao Jiang , Jing Jin , Yanan Guo

{"title":"High-performance fire detection framework based on feature enhancement and multimodal fusion","authors":"Zekun Zhou , Hongyang Zhao , Xingdong Li , Yi Liu , Tao Jiang , Jing Jin , Yanan Guo","doi":"10.1016/j.jnlssr.2025.03.004","DOIUrl":"10.1016/j.jnlssr.2025.03.004","url":null,"abstract":"<div><div>Fire detection technology has become increasingly critical in the context of rising global fire threats and extreme weather conditions. Traditional methods rely on single-modal sensors and conventional image processing techniques and often struggle with complex environmental variations and background interference. This study proposes an innovative multimodal fire detection framework that integrates advanced deep learning techniques to address these limitations. By leveraging a comprehensive approach that combines YOLOv8-based object detection, HSV color space enhancement, completed local binary pattern (CLBP) texture analysis, and a novel dynamic feature enhancement module (DFEM), the proposed method significantly improves fire detection accuracy and robustness. This research introduces a sophisticated multimodal fusion strategy that systematically processes fire-related features across multiple domains. A key innovation is the cross-modality fusion Mamba (CMFM) module, which employs efficient channel attention (ECA) and an efficient 2D-selective scan module (E2DSM) to dynamically integrate and refine features from different modalities. Experimental validation was conducted on a dataset that we collected, which was supplemented by data collected via real-world robotic image acquisition in diverse environments, including forests, corridors, and outdoor settings. The proposed method demonstrated exceptional performance, with a precision of 96.4%, a recall of 95.7%, and an overall accuracy of 95.8%, outperforming state-of-the-art models such as VGG16, ResNet50, YOLOv5, and YOLOv8. Ablation studies further validated the contribution of each module and highlighted the framework’s robust feature enhancement and fusion capabilities.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100212"},"PeriodicalIF":3.4,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving fire resistance of data monitoring equipment in wildland and wildland-urban interface fires 提高数据监测设备在荒地和荒地-城市界面火灾中的耐火性

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-25 DOI: 10.1016/j.jnlssr.2025.100224

A.I. Filkov , M. Mohamed , S. Carracher , J. Simkin

引用次数: 0

Guidance for estimating the blast load from vapour cloud explosions in traffic environments using the multi-energy method 用多能法估计交通环境中蒸汽云爆炸爆炸载荷的导则

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-22 DOI: 10.1016/j.jnlssr.2025.100222

Fabio Lozano , Morgan Johansson , Joosef Leppänen , Mario Plos

{"title":"Guidance for estimating the blast load from vapour cloud explosions in traffic environments using the multi-energy method","authors":"Fabio Lozano , Morgan Johansson , Joosef Leppänen , Mario Plos","doi":"10.1016/j.jnlssr.2025.100222","DOIUrl":"10.1016/j.jnlssr.2025.100222","url":null,"abstract":"<div><div>The accidental release of a flammable gas on a road can result in a vapour cloud explosion (VCE). Such VCEs generate a blast wave that propagates away from the explosion, potentially damaging nearby structures. The TNO Multi-Energy Method is commonly used for a simplified estimate of the blast load resulting from a VCE. The method characterises the severity and duration of the blast wave using a case-specific strength class and combustion energy (which the method relates to the gas volume of the equivalent blast source). However, no specific guidelines for estimating the strength class in urban roads or related settings (such as carparks) are currently available in the literature. This makes implementing the method in such scenarios challenging and imprecise. The authors’ work used computational fluid dynamics (CFD) to evaluate multiple gas explosion scenarios and proposed recommendations for determining the strength class and gas volume at the blast source. These scenarios comprised a group of vehicles engulfed by a stoichiometric propane-air cloud. It was concluded that the strength class could be reasonably estimated based on the number of vehicles in the transverse direction. Furthermore, the guidance for estimating the gas volume at the equivalent blast source was based on the critical gas volume, after which no further enhancement of overpressure was obtained. The recommendations were implemented in several scenarios and compared with corresponding CFD analyses. The results showed very good agreement for predicting impulse. Predicting overpressure was affected by the inherent asymmetry of the scenarios, although it was possible to achieve acceptable and conservative results.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100222"},"PeriodicalIF":3.4,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144926183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

CO-Mode with AV-CRM: A novel paradigm towards human–machine collaboration in intelligent vehicle safety 基于AV-CRM的协同模式：智能车辆安全中人机协作的新范式

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-17 DOI: 10.1016/j.jnlssr.2025.04.002

Jiayi Lu , Bin Sun , Boao Zhang, Zhaowen Pang, Zhaoxia Peng, Shichun Yang, Yaoguang Cao

{"title":"CO-Mode with AV-CRM: A novel paradigm towards human–machine collaboration in intelligent vehicle safety","authors":"Jiayi Lu , Bin Sun , Boao Zhang, Zhaowen Pang, Zhaoxia Peng, Shichun Yang, Yaoguang Cao","doi":"10.1016/j.jnlssr.2025.04.002","DOIUrl":"10.1016/j.jnlssr.2025.04.002","url":null,"abstract":"<div><div>With the continuous advancement in vehicle intelligence, enhancing safety has emerged as a key priority in intelligent vehicle research and development. Intelligent vehicles are currently limited in supporting autonomous or human-driven modes. This limitation becomes apparent in complex driving scenarios, where vehicle risk response capabilities are inadequate. This paper suggests that shifting from a single decision maker to a human–machine collaboration approach is a potential solution. However, current research on human–machine collaboration in intelligent vehicles primarily focuses on intelligent systems that assist the driver, rather than treating the driver and the system as equals. This approach overlooks the role of the driver in helping the system, lacks effective communication, and diminishes the sense of collaborative cooperation, all of which hinder the promotion of efficient, safe, and stable driving. Inspired by the aviation approach to risk management through Crew Resource Management (CRM), this study introduces the Collaborative Operation Mode (CO-Mode) for intelligent vehicles. Based on CO-Mode’s requirements for human–machine collaborative perception, decision making, and control, the Autonomous Vehicle Collaborative Resource Management (AV-CRM) is proposed. In addition, challenges and future perspectives are explored by analyzing the abilities and limitations of relevant technologies. The proposed AV-CRM redefines the relationship between drivers and intelligent systems, offering new insights into the safety of intelligent vehicles and their technological evolution.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"7 1","pages":"Article 100209"},"PeriodicalIF":3.4,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144890529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Extending the STPA to model the control structure with Finite State Machine 将STPA扩展到有限状态机控制结构的建模

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-11 DOI: 10.1016/j.jnlssr.2025.04.004

Tiago Aroeira Marliere, Cecilia de Azevedo Castro Cesar, Celso Massaki Hirata

{"title":"Extending the STPA to model the control structure with Finite State Machine","authors":"Tiago Aroeira Marliere, Cecilia de Azevedo Castro Cesar, Celso Massaki Hirata","doi":"10.1016/j.jnlssr.2025.04.004","DOIUrl":"10.1016/j.jnlssr.2025.04.004","url":null,"abstract":"<div><div>Cyber–physical systems (CPSs) are becoming increasingly complex, integrating physical entities with diverse computing and communication resources, multiple processors, networks, and devices. One example is the Unmanned Aircraft Systems (UAS) Traffic Management (UTM) system, where interactions among components can lead to UAS collisions and harm to people and property. System Theoretic Process Analysis (STPA) is a systems theory-based technique for conducting early-stage safety analyses of complex systems. The <em>Model the Control Structure</em> step in STPA involves identifying each controller component, its process models, and its control actions. However, conventional STPA process models use only variables and states, which may be insufficient for systems involving entities that transition through multiple state flows. This study introduces a novel extension by integrating Finite State Machine (FSM) modeling into the <em>Model the Control Structure</em> step. The FSM-based approach captures detailed behaviors of entities requiring control by explicitly modeling their states and transitions in an iterative process. This extended STPA was applied to the UTM to control the delivery of UAV packages. The results demonstrate that the FSM extension enhances identifying control actions, feedback loops, process model variables, and unsafe control actions. The study concludes that the extended STPA provides a systematic approach for analyzing CPSs with entities that undergo complex state transitions, contributing to improved systematization and consistency of safety analyses.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100214"},"PeriodicalIF":3.4,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144863743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A deep learning and edge computing integrated approach for fall behavior detection in buildings 基于深度学习和边缘计算的建筑物坠落行为检测方法

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-11 DOI: 10.1016/j.jnlssr.2025.100218

Mingze Ma , Xiaofeng Hu

{"title":"A deep learning and edge computing integrated approach for fall behavior detection in buildings","authors":"Mingze Ma , Xiaofeng Hu","doi":"10.1016/j.jnlssr.2025.100218","DOIUrl":"10.1016/j.jnlssr.2025.100218","url":null,"abstract":"<div><div>This study proposes a model integrating YOLOv11 and STGCN for accurate and real-time detection of fall behaviors within buildings. A specialized video dataset comprising fall behaviors performed by six volunteers was developed and used to validate the model’s effectiveness in cloud computing and edge computing environments. The results obtained in the cloud computing environment were characterized by ample computational resources and the absence of real-time constraints. The model achieved precision, recall, and F1-score for fall behaviors exceeding 0.98. The model was integrated into edge computing devices in an actual test environment to directly process real-time video stream data. A missed detection rate of 18 % was observed on the Jetson ORIN NX 16GB device, while the Jetson AGX Orin 64GB recorded a lower missed detection rate of 15 %. Similarly, a false alarm rate of 16 % was observed on the Jetson ORIN NX 16GB device and 12 % on the Jetson AGX Orin 64GB device. These performance differences between the high-performance cloud computing cluster and edge computing devices, as well as among different edge computing devices, may be attributed to variations in computational resources, data quality, and device parameters. The results demonstrate the potential of the proposed model for real-time fall detection in resource-constrained environments.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100218"},"PeriodicalIF":3.4,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144722051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Systematic literature review of Ergonomic evaluation methods in the mining sector (2015-2024) 采矿业人机工程学评价方法系统文献综述（2015-2024）

IF 3.4

安全科学与韧性(英文) Pub Date : 2025-06-06 DOI: 10.1016/j.jnlssr.2025.100215

Nelson Chambi Quiroz , David Mauricio , Jorge Inche Mitma , Celso Sanga

{"title":"Systematic literature review of Ergonomic evaluation methods in the mining sector (2015-2024)","authors":"Nelson Chambi Quiroz , David Mauricio , Jorge Inche Mitma , Celso Sanga","doi":"10.1016/j.jnlssr.2025.100215","DOIUrl":"10.1016/j.jnlssr.2025.100215","url":null,"abstract":"<div><div>Musculoskeletal disorders (MSDs) in the mining sector are frequently associated with exposure to ergonomic risk factors, leading to decreased productivity and increased absenteeism. This study presents a systematic literature review of ergonomic evaluation methods, identified risk factors, and affected body regions, based on journal articles indexed in ScienceDirect, Emerald, Taylor & Francis, Wiley, Scopus, Sage, IEEE Xplore, and Web of Science. From an initial pool of 213 studies, 49 primary studies were selected, 82 % of which were published in Q1 or Q2 journals. The review identifies six individual ergonomic assessment methods (Nordic Questionnaire, ISO/IEC 2631–1, REBA, OWAS, NIOSH, and Risk Score) and two hybrid methods (Bayesian Network + REBA, and RULA + Nordic Questionnaire). Additionally, it categorizes 13 affected body parts (e.g., back, shoulders, neck, waist) and 11 ergonomic factors (e.g., heavy loads, repetitive tasks, vibration, static postures, and work schedules). The findings reveal that a majority of studies focus on underground mining operations, with the Nordic Questionnaire and ISO/IEC 2631–1 being the most frequently used methods. The back and shoulders are the most commonly studied body parts, while vibration and working hours emerge as the most prevalent risk factors. Finally, six challenges are proposed to address current research gaps, including the integration of deep learning techniques and the evaluation of less-studied joints such as the wrist and elbow. This review provides a valuable foundation for researchers and mine safety professionals seeking to advance ergonomic assessment in mining environments.</div></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":"6 4","pages":"Article 100215"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144771361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0