安全科学与韧性(英文)最新文献_第10页

Bus evacuation during no-notice disasters in downtown areas: A case study of the Zhongguancun area, Beijing 市区无预警灾害中的公交疏散——以北京中关村地区为例

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.03.007

Xingang Li, Xiaodan Cui, Rui Jiang, Bin Jia

引用次数: 2

Risk assessment of large-scale winter sports sites in the context of a natural disaster 自然灾害背景下大型冬季运动场地风险评估

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.03.006

Jiansong Wu , Yuxuan Xing , Yiping Bai , Xiaofeng Hu , Shuaiqi Yuan

{"title":"Risk assessment of large-scale winter sports sites in the context of a natural disaster","authors":"Jiansong Wu , Yuxuan Xing , Yiping Bai , Xiaofeng Hu , Shuaiqi Yuan","doi":"10.1016/j.jnlssr.2022.03.006","DOIUrl":"10.1016/j.jnlssr.2022.03.006","url":null,"abstract":"<div><p>Accidents induced by natural disasters at sports sites may cause catastrophic loss of great concern. However, previous studies on risk assessments of sports sites have only focused on operational risk and equipment failure. With the frequent occurrence of extreme disasters, the risk of domino chains caused by natural disasters at large-scale events, such as large-scale winter sports sites, cannot be ignored. In this study, a natural disaster-induced accident-chain evolution analysis model (NAEA model) is proposed. Based on the results of the NAEA model, a fuzzy Bayesian network for domino accidents triggered by an earthquake at large-scale winter sports sites was established. Through sensitivity analysis and scenario analysis, it was found that fire and explosion accidents and crowded stampede accidents are the main causes of serious loss in domino disaster chains in large-scale sports sites. Simultaneously, improving the early warning capability, reliability of electrical equipment, and automatic sprinkler systems are the most effective ways to prevent and control major accidents. In addition, an optimal safety strategy improvement analysis was performed to facilitate the decision-making of safety managers to prevent serious accidents and reduce accident loss.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000202/pdfft?md5=8a824712888ea3f880ea9f423dae5e9c&pid=1-s2.0-S2666449622000202-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46017364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

International public opinion analysis of four olympic games: From 2008 to 2022 2008年至2022年四届奥运会国际舆情分析

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.03.002

Kun Jia , Yizhen Zhu , Yuxin Zhang , Feng Liu , Jiayin Qi

{"title":"International public opinion analysis of four olympic games: From 2008 to 2022","authors":"Kun Jia , Yizhen Zhu , Yuxin Zhang , Feng Liu , Jiayin Qi","doi":"10.1016/j.jnlssr.2022.03.002","DOIUrl":"10.1016/j.jnlssr.2022.03.002","url":null,"abstract":"<div><p>Since the rapid spread of the COVID-19 worldwide, the pandemic has led to a huge impact on global sporting events. As a major international event, the 2022 Beijing Winter Olympics has commonalities with the 2008 Beijing Olympics, the 2014 Sochi Winter Olympics, and the 2020 Tokyo Olympics in terms of international public opinion context and epidemiological background. In this study, over 1 million pieces of UGC(User Generated Contents) in Chinese and English languages were obtained from social media platforms such as Twitter, YouTube, as well as traditional mass media in various countries to compare the differences between the two languages in international public opinion. Using sentiment analysis, this study explores the evolution of international public opinion topics and sentiment differences among the above four Olympic Games. The analysis results show that:1) regardless of traditional mass media or online social media, there is a more obvious tendency of general politicization in the topics of the 2008 Beijing Olympics and 2022 Beijing Winter Olympics, and extreme emotional remarks of the 2022 Beijing Winter Olympics are more frequent; 2) in the topic of political opinion involving China, international Chinese public opinion presents more negative sentiment than those in English; 3) Among the topics involving COVID-19, the negative level of public opinion in Chinese and English is opposite for the 2020 Tokyo Olympics and the 2022 Beijing Winter Olympics;4) International public opinion on the topic of sports events is significantly more positive in Chinese than in English;5) YouTube’s Chinese opinion environment is better than English.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000172/pdfft?md5=99985bdefdfd17c7cf08798c885eb94e&pid=1-s2.0-S2666449622000172-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45120069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Epidemic modeling for the resurgence of COVID-19 in Chinese local communities 新冠肺炎在中国当地社区死灰复燃的流行病模型

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.03.005

Min Peng, Jianing Zhang, Jingrui Gong, Xingqi Ran, Jvlu Liu, Lin Zhang

引用次数: 3

The landscape of safety management systems research: A scientometric analysis 安全管理系统研究的前景:科学计量学分析

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.02.003

Floris Goerlandt , Jie Li , Genserik Reniers

{"title":"The landscape of safety management systems research: A scientometric analysis","authors":"Floris Goerlandt , Jie Li , Genserik Reniers","doi":"10.1016/j.jnlssr.2022.02.003","DOIUrl":"10.1016/j.jnlssr.2022.02.003","url":null,"abstract":"<div><p>Safety management systems (SMSs) are widely applied across many industrial sectors, and a large body of literature has been published addressing their design, implementation, effectiveness, and associated challenges. This article presents a high-level analysis of the SMS research domain, guided by a set of questions addressing the contents, structure, and evolution the research domain, its dominant themes and focus topics, the key scientific domains and journals contributing to its development, and the key publications serving as an intellectual basis for SMS related research. The results show a rapidly increasing volume of research outputs and a shift from research based in North America and Europe to Asia and Australia. There is only a limited number of institutions enduringly contributing to the field, and there are relatively few stable research collaborations, with the number of Chinese institutions publishing SMS related research fast expanding in recent years. The domain is strongly interdisciplinary and embedded in applied domains of science, with industrial engineering the most contributing category, as well as categories focusing on the industrial application domains. A temporal evolution of the research activity in different application domains is apparent, with an initial focus on occupational health and safety, followed by process safety, patient safety, food safety, and construction safety. SMS research has a strong relation to safety culture and safety climate research, and while safety and risk management concepts and theories form an important knowledge base for most application domains, the dominant views on accident causation differ between these. Research on SMS in the food industry is relatively separated from the other application domains. Based on the findings, various future research directions are discussed.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000159/pdfft?md5=e5f84db062a82fed7ec0dd7e781c9e12&pid=1-s2.0-S2666449622000159-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41489462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Post-COVID recovery and renewal through whole-of-society resilience in cities 通过城市的全社会复原力实现新冠肺炎疫情后的复苏和复兴

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.03.003

Andrew G. McClelland , Roisin Jordan , Szymon Parzniewski , Duncan Shaw , Nat O'Grady , David Powell

{"title":"Post-COVID recovery and renewal through whole-of-society resilience in cities","authors":"Andrew G. McClelland , Roisin Jordan , Szymon Parzniewski , Duncan Shaw , Nat O'Grady , David Powell","doi":"10.1016/j.jnlssr.2022.03.003","DOIUrl":"10.1016/j.jnlssr.2022.03.003","url":null,"abstract":"<div><p>This paper explores and extends understanding of the role and significance of whole-of-society resilience programmes that support cities when dealing with complex crises, like the COVID-19 pandemic. Highlighting the complexity of whole-of-society resilience as different actors locally shape it, we ask the question: How can collaboration between formal and informal resilience practices help to enhance resilience across the ‘whole-of-society’? We answer this question by reviewing the importance of whole-of-society resilience and its complexity in a city’s governance of the COVID-19 crisis. We argue that the necessity of renewing approaches to building local resilience capabilities across the whole-of-society requires synchronisation across and between formal and informal approaches – that is, “bottom-up” and governmental initiatives – to meet the diverse needs of communities. Secondly, we detail two recent practice-orientated initiatives that have taken a renewal approach to building resilience through the involvement of whole-of-society in planning recovery from COVID-19 using international standard ISO/TS 22393; and a new initiative called the National Consortium for Societal Resilience [UK+]. Finally, we signpost a set of critical questions for whole-of-society resilience practice.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000184/pdfft?md5=20f9a921ae6a681c564597863b91bc17&pid=1-s2.0-S2666449622000184-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41813805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A two-step machine learning method for casualty prediction under emergencies 紧急情况下人员伤亡预测的两步机器学习方法

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.03.001

Xiaofeng Hu, Jinming Hu, Miaomiao Hou

{"title":"A two-step machine learning method for casualty prediction under emergencies","authors":"Xiaofeng Hu, Jinming Hu, Miaomiao Hou","doi":"10.1016/j.jnlssr.2022.03.001","DOIUrl":"10.1016/j.jnlssr.2022.03.001","url":null,"abstract":"<div><p>Casualty prediction is meaningful to the emergency management of natural hazards and human-induced disasters. In this study, a two-step machine learning method, including classification step and regression step, is proposed to predict the number of casualties under emergencies. In the classification step, whether there are casualties under an incident is firstly predicted, then in the regression step, samples predicted to have casualties are used to further predict the exact number of the casualties. Using an open-source dataset, this two-step method is validated. The results show that the two-step model performs better than the original regression models. Back propagation(BP) neural network combined with Random Forest performs the best in terms of the death toll and the number of injuries. Among all the two-step models, the lowest mean absolute error (MAE) for the death toll is 1.67 while that for the number of injuries is 4.13, which indicates that this method can accurately predict the number of casualties under emergencies. This study's results are expected to provide support for decision-making on rapid resource allocation and other emergency responses.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000160/pdfft?md5=86b72d896c4210c4e8af58620d26dfcd&pid=1-s2.0-S2666449622000160-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45282392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of a practical load model for a natural gas explosion in an unconfined space 无密闭空间天然气爆炸实用载荷模型的研究

安全科学与韧性(英文) Pub Date : 2022-09-01 DOI: 10.1016/j.jnlssr.2022.03.004

Shigang Yang , Wensheng Sun , Qin Fang , Ya Yang , Chenxi Xia , Qi Bao

引用次数: 0

Offshore system safety and operational challenges in harsh Arctic operations 在恶劣的北极作业中，海上系统的安全和操作挑战

安全科学与韧性(英文) Pub Date : 2022-06-01 DOI: 10.1016/j.jnlssr.2022.02.001

Sidum Adumene , Hope Ikue-John

{"title":"Offshore system safety and operational challenges in harsh Arctic operations","authors":"Sidum Adumene , Hope Ikue-John","doi":"10.1016/j.jnlssr.2022.02.001","DOIUrl":"https://doi.org/10.1016/j.jnlssr.2022.02.001","url":null,"abstract":"<div><p>Offshore oil and gas drilling operations are going to remote and harsh arctic environments with demands for heightened safety and resilience of operational facilities. The remote and harsh environment is characterized by extreme waves, wind, storms, currents, ice, and fog that hinder drilling operations and cause structural failures of critical offshore infrastructures. The risk, safety, reliability, and integrity challenges in harsh environment operations are critically high, and a comprehensive understanding of these factors will aid operations and protect the investment. The dynamics, environmental constraints, and the associated risk of the critical offshore infrastructures for safe design, installation, and operations are reviewed to identify the current state of knowledge. This paper introduces a systematic review of harsh environment characterization by exploring the metocean phenomena prevalent in harsh environments and their effects on the floating offshore structures performance and supporting systems. The dynamics of the floating systems are described by their six degrees of freedom and their associated risk scenarios. The systematic methodology further explores the qualitative, quantitative, and consequences modeling techniques for risk analysis of floating offshore systems in a harsh environment. While presenting the current state of knowledge, the study also emphasizes a way forward for sustainable offshore operations. The study shows that the current state of knowledge is inexhaustive and will require further research to develop a design that minimizes interruption during remote harsh offshore operations. Resilient innovation, IoT and digitalization provide opportunities to fill some of the challenges of remote Arctic offshore operations.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000044/pdfft?md5=a0fc6535a83f9d09b08694cbc6fed85d&pid=1-s2.0-S2666449622000044-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90019757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Understanding the relationship between High Reliability Theory (HRT) of mindful organizing and Safety Management Systems (SMS) within the aerospace industry: A cross-sectional quantitative assessment 理解航空航天工业中正念组织的高可靠性理论(HRT)与安全管理系统(SMS)之间的关系:一个横断面定量评估

安全科学与韧性(英文) Pub Date : 2022-06-01 DOI: 10.1016/j.jnlssr.2022.01.002

Brian Eugene Teske , Daniel Kwasi Adjekum

{"title":"Understanding the relationship between High Reliability Theory (HRT) of mindful organizing and Safety Management Systems (SMS) within the aerospace industry: A cross-sectional quantitative assessment","authors":"Brian Eugene Teske , Daniel Kwasi Adjekum","doi":"10.1016/j.jnlssr.2022.01.002","DOIUrl":"10.1016/j.jnlssr.2022.01.002","url":null,"abstract":"<div><p>There seems to be a paucity in extant literature that assesses the relationship between Safety Management Systems (SMS) and High Reliability Theory (HRT) behavior process of mindful organizing (MO) among aerospace organizations. There could be benefits for organizational safety by exploring this relationship in high-reliability organizations (HROs) like the aerospace industry. Using a modified Safety Organizing Scale (SOS) by Vogus and Sutcliffe (2007) and a validated SMS scale, the relationship between SMS and MO was measured. The perceptions of a cross-section of respondents from commercial airlines with SMS and commercial space licensees without SMS in the United States (U.S.) was assessed. A four-factor model of MO had acceptable fit. A model showing the relationship between SMS and MO had good fit and showed a high significant strength of relationship (<em>r</em> = 0.82, <em>p</em> = 0.000) with a big effect size. There were also significant differences in mean responses among management personnel and non-management personnel on the MO factor “sensitivity to operations” and the result suggests managers were better at identifying personnel with skills and knowledge to ensure safer task accomplishment than non-management personnel. The study results suggest that the SMS requirements for commercial airlines in the U.S. can enrich the identification and understanding of MO factors and it may be beneficial for the commercial space industry to formally adopt SMS. Future research studies may include direct comparisons in multiple aerospace organizations using a larger sample size to determine the overall understanding of MO factors and how it affects SMS.</p></div>","PeriodicalId":62710,"journal":{"name":"安全科学与韧性(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666449622000032/pdfft?md5=46a50b1b2dbdd32a0354206311aa263b&pid=1-s2.0-S2666449622000032-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44391779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3