基于马尔科夫链-多目标模型的应急供应链决策优化研究*

为应对洪涝、新冠肺炎疫情等突发灾难,提出供应物资满足率最大、供应时间最短、供应成本最低的离散时间马尔科夫链-多目标规划模型（DTMC-MOP）,动态地识别、分析、应对应急供应链风险;采用改进自适应NSGA-Ⅱ算法求解优化模型,并通过标准测试函数进行测试与评价,验证模型的可行性和有效性;通过算例分析,获得精度更高、分布更均匀的Pareto最优前沿。研究结果表明:决策者可以依据应急管理核心目标或不同偏好选择相适应的应急方案,研究结果可为应急供应链决策优化提供1种科学方法,对保障灾民生命安全、维护社会和谐稳定具有积极意义。     

新型冠状病毒肺炎疫情期间企业生产安全风险管理

本文在分析新型冠状病毒肺炎疫情期间企业安全风险特点的基础上,建立了疫情期间安全风险管理模型,分析了这一特殊时期企业外部变化,以及企业内部人、物、环境、管理变化带来特殊安全风险,提出了针对性的风险管控措施。     

新冠疫情背景下建筑从业人员统计生命价值研究

为研究建筑职业风险和新冠疫情风险下的统计生命价值(VOSL),以成都市建筑从业者为对象采集数据,基于生存分析处理删失数据的特性,运用二分式条件价值法(CVM)和Kaplan-Meier法测算不同背景下的VOSL,运用COX回归对VOSL影响因素进行分析。研究结果表明：成都市建筑从业者在职业风险和新冠疫情风险下的VOSL分别为429.472,459.079万元,生命价值评估具有情境依赖性且存在“引导悖论”;2种风险背景下受访者学历、月收入及安全重视程度的提高均会增强支付意愿,而安全满意程度的提高则会降低支付意愿;职业风险下影响支付意愿的关键因素为安全设备保障满意程度、重视程度和学历,新冠疫情风险下影响支付意愿的关键因素为卫生安全重视程度、学历和月收入。     

环境风险评价的现状问题及建议初探

在介绍环境风险评价发展概况的基础上,简要探讨了环境风险评价存在的问题,包括环境风险评价与安全评价在技术方法上协调不足,环境风险评价与环境风险评估衔接不够到位,环境风险评价方法体系与国外尚存在差距,部分环境风险防范措施的标准指导有待完善。针对以上问题,建议不同职能部门加强沟通和合作,推动环境风险评价、安全评价技术标准和手段更好地统一;将环境风险评价和环境风险评估有效衔接或合并;加强相关基础研究和数据积累工作;在相关技术导则或评估指南中明确事故应急池等环境风险防范措施的设置依据。     

Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting

Introduction: COVID-19 has disrupted daily life and societal flow globally since December 2019; it introduced measures such as lockdown and suspension of all non-essential movements. As a result, driving activity was also significantly affected. Still, to-date, a quantitative assessment of the effect of COVID-19 on driving behavior during the lockdown is yet to be provided. This gap forms the motivation for this paper, which aims at comparing observed values concerning three indicators (average speed, speeding, and harsh braking), with forecasts based on their corresponding observations before the lockdown in Greece. Method: Time series of the three indicators were extracted using a specially developed smartphone application and transmitted to a back-end platform between 01/01/2020 and 09/05/2020, a time period containing normal operations, COVID-19 spreading, and the full lockdown period in Greece. Based on the collected data, XGBoost was employed to identify the most influential COVID-19 indicators, and Seasonal AutoRegressive Integrated Moving Average (SARIMA) models were developed for obtaining forecasts on driving behavior. Results: Results revealed the intensity of the impact of COVID-19 on driving, especially on average speed, speeding, and harsh braking per 100 km. More specifically, speeds were found to increase by 2.27 km/h on average compared to the forecasted evolution, while harsh braking/100 km increased to almost 1.51 on average. On the bright side, road crashes in Greece were reduced by 49% during the months of COVID-19 compared to the non-COVID-19 period.     

环境风险评价内涵与外延研究

在简要介绍环境风险评价(Environmental Risk Assessment,ERA)发展历程的基础上,总结现阶段国内外普遍采用的ERA定义,深入分析ERA的内涵和类型,在重新给出涵盖性更全面的ERA定义的同时,对3种评价内容的评价程序和评价方法进行了横向比较。收集整理了ERA的研究进展和应用现状,从时间、范畴和应用范围3个方面划定了ERA的外延。     

试论新时代应急文化体系建设

结合当前新冠肺炎重大公共卫生疫情的应对,从广义文化与应急一体化结合的视角探讨应急文化的概念和定义;应用一般文化学的"价值观收敛原理"和"目标偏离最小化原理",论述应急文化建设的功能作用;基于系统工程建模理论构建应急文化建设体系;最后,探讨分析应急文化建设的信念凝聚功能、精神激励功能、行为规范功能、工作动力功能、思想传播功能,以及应急观念文化建设和应急理念体系建设等内容。     

Shelter-in-place risk assessment for high-pressure natural gas wells with hydrogen sulphide and its application in emergency management

This paper provides a risk assessment method of sheltering in-place for high-pressure natural gas wells with hydrogen sulphide. In this paper, the shelter-in-place risk is estimated by integrating the health consequences of an individual taking one kind of emergency response to the emergency orders of sheltering in place from the emergency decision makers and the probability of the corresponding emergency response action. The probability of the corresponding emergency response action in the proposed method is estimated through the accident probability analysis and the probability analysis of taking a certain response action. The health consequence estimation is based on air exchange rate test of the shelter buildings as well as accident consequence calculation. The evaluation of shelter-in-place risks based on “as low as reasonably practicable (ALARP)” guidelines was employed to provide suggestions for emergency management under both normal conditions and off normal conditions. A case study of risk assessment of sheltering in the local residential houses in Xuanhan County of Sichuan Province, China was taken as an example to illustrate the proposed risk assessment process of shelter-in-place and its application in the decision-making process for emergency management.     

Special Report from the CDC: Strengthening social connections to prevent suicide and adverse childhood experiences (ACEs): Actions and opportunities during the COVID-19 pandemic

Introduction: During this time ofintensified hardship and disruption due to the SARS-CoV-2 (COVID-19) pandemic, communities, practitioners, and state and local governments have had to rapidly implement and adapt strategies that support mental health and wellbeing during a global pandemic. Prior to the COVID-19 pandemic, suicide was the 10th leading cause of death in the United States, and at least half of the top 10 leading causes of death have been associated with adverse childhood experiences (ACEs). A number of established risk factors for suicide and ACEs may have been exacerbated by the pandemic, including loneliness and lack of connectedness. Method: This article briefly considers the effects of COVID-19 on social connection and outlines the importance of adapting and developing programming and resources that address suicide and ACEs prevention during a time of infrastructure disruption. Practical Applications: The COVID-19 pandemic has affected the ways that many individuals are able to safely interact and socially connect due to public health prevention strategies implemented to slow the spread of COVID-19. Local, city, and state government, community organizations, and public health and medical practitioners should consider the adaptation and development of existing and new programming, resources, and activities that support and strengthen social connection. In addition to implementing programs, policies may help address systemic and structural barriers to social connection, such as access to parks and open space, public transportation, or digital connectivity.     

Methodology for risk assessment of COVID-19 pandemic propagation

This paper proposes a methodology to perform risk analysis of the virus spread. It is based on the coupling between CFD modelling of bioaerosol dispersion to the calculation of probability of contact events. CFD model of near-field sneeze droplets dispersion is developed to build the SARS-CoV-2 effect zones and to adequately capture the safe distance. The most shared classification of droplets size distribution of sneezes was used.Droplets were modeled through additive heating/evaporation/boiling laws and their impact on the continuous phase was examined. Larger droplets move behind the droplet nuclei front and exhibit greater vertical drop due to the effect of gravity. CFD simulations provided the iso-risk curves extension (i.e., the maximum distance as well as the angle) enclosed by the incident outcome effect zone. To calculate the risk indexes, a fault tree was developed and the probability of transmission assuming as of the top event “COVID-19 infection” was calculated starting from the virus spread curve, as main base case. Four phases of virus spread evolution were identified: initiation, propagation, generalised propagation and termination. For each phase, the maximum allowable close contact was computed, being fixed the values of the acceptable risk index. In particular, it was found that during the propagation case, the maximum allowable close contacts is two, suggesting that at this point lockdown should be activated. The here developed methodology could drive policy containment design to curb spread COVID-19 infection.     

突发公共卫生事件下公交暴露风险辨识方法:以深圳应对新型冠状病毒肺炎为例

为定量评估突发公共卫生事件下的公交暴露风险,基于公交线网、交通分析区及新型冠状病毒肺炎(COVID-19)疫情信息等多源数据,考虑公交站点、交通分析区及疫情场所3种研究尺度,集成公交网络结构拓扑模型、公交网络中心性模型及核密度分析等空间分析方法,提出公交暴露风险的多尺度辨识方法,并以深圳市为例进行验证。结果表明:公交站点暴露风险在空间上呈现多中心—圈层结构,较高及高暴露风险站点多为交通枢纽、商场等,占比达26.40%;较高及高暴露风险交通分析区主要分布在工业、商业聚集区及居民点密集区,占比达32.84%;较高及高暴露风险疫情场所主要集中在城市核心区域,占比为28.92%。     

考虑时间满意度的应急救援人员多技能培训派遣模型*

为耦合应急救援培训和救援派遣工作任务,提升突发事件下应急救援人员工作效率,构建以培训派遣总体时间满意度最大、培训派遣总成本最小为目标函数的突发事件应急救援人员培训派遣一体化优化模型,以新冠肺炎疫情为研究背景,利用Lingo软件进行仿真求解。研究结果表明:短期培训能有效提高应急救援人员救援能力,满足受灾点应急救援时间需求及救援任务需求。     

新冠肺炎疫情下的高校复课综合风险评估

为评估新冠肺炎疫情下的高校复课综合风险,辅助高校进行复课组织决策,探讨一种高校复课风险评估方法。首先,引入压力-状态-响应(PSR)模型,分析各要素互相影响机制,并建立高校复课新冠肺炎疫情综合风险评估指标体系;然后,利用风险的致灾因子与受灾体的脆弱性衡量疫情综合风险度,提出一种高校复课新冠疫情风险的评估方法;最后,以西安市某高校为例,验证风险评估模型的可行性和有效性。结果表明:本模型能准确评估高校复课新冠肺炎疫情综合风险;学校所在地疫情风险等级、人员管控措施、学校应急演练与评估开展状况分别是P、S、R系统的主要影响因素,应重点关注。     

疫情管控期间公共场所火灾疏散研究*

为探究新冠疫情管控期间公共建筑安全出口开放状态对人员疏散影响,通过实地调研了解公共建筑疏散管理及安全出口开放状态,利用Pathfinder模拟疫情管控前后某高校办公楼人员火灾疏散,分析人员疏散过程中个人拥堵总时长、最长连续拥堵时长、人员疏散路径,提出3种推荐出口开放方案,并通过Pathfinder模拟得到最优方案。研究结果表明:疫情管控期间,各公共建筑均关闭部分安全出口,以便于体温检测;疫情管控期间人员拥堵时长显著增大,常规情况下人均拥堵时长为16.01 s、个人拥堵时长最大为120.45 s,疫情管控期间人均拥堵时长为23.92 s、个人拥堵时长最大为168.23 s;区域A部分人员汇合至区域B中,导致楼梯2人员密度增大,在2~3层楼梯发生拥堵;同时开放出口Ⅰ和Ⅳ的方案Ⅲ为最优开放方案。     

化工企业DVR风险分析模型的构建及应用——基于公共安全三角形模型*

为对化工企业风险进行评价,根据公共安全三角形理论,从危险源破坏性、目标脆弱性和应急处置可恢复性3个方面建立风险分析模型。在危险源破坏性上,从事故发生可能性和事故后果危险性2个方面进行讨论并得出可能性和危险性系数。在目标脆弱性上,建立人和物的脆弱性计算模型得出目标脆弱性的系数。设立应急管理指标,结合专家评分得出应急处置可恢复性系数。将各系数归一化相乘得到化工安全风险分析整合系数,建立基于危险源破坏性（Destructiveness）、目标脆弱性（Vulnerability）、应急处置可恢复性（Recoverability）的DVR风险分析模型,并进行应用实例分析。结果表明:该模型在化工企业的风险评价中具有一定的实用性。     

Dangerous good transportation by road: from risk analysis to emergency planning

Despite the relative recent move towards inherent safe materials, the relentless drive of consumerism requires increased quantities of dangerous goods to be manufactured, transported, stored and used year on year. The safety and effectiveness of road transport systems is to be considered a strategic goal in particular in those countries, like Italy, in which 80% of goods are transported by this means. In this paper, we face the risk from dangerous good transport by presenting a site-oriented framework for risk assessment and developing a theoretical approach for emergency planning and optimisation. In the first step, we collected field data on a pilot highway and developed a database useful to allow a realistic evaluation of the accident frequency on a given route, by means of multivariate statistical analysis. To this end, we considered both inherent factors (such as tunnels, bend radii, height gradient, slope etc), meteorological factors, and traffic factors (traffic frequency of tank truck, dangerous good truck etc.) suitable to modify the standard national accident frequency. By applying the results to a pilot area, referring to flammable and explosive scenarios, we performed a risk assessment sensitive to route features and population exposed. The results show that the risk associated to the transport of hazardous materials, in some highway stretches, can be at the boundary of the acceptability level of risk set down by the well known F/N curves established in the Netherlands. On this basis, in the subsequent step, we developed a theoretical approach, based on the graph theory, to plan optimal emergency actions. The effectiveness of an emergency planning can normally be evaluated in term of system quickness and reliability. As a case study, we applied the developed approach to identify optimal consistency and localisation in the pilot area of ‘prompt action vehicles’, properly equipped, quick to move and ready for every eventuality. Applying this method results in an unambiguous and consistent selection criterion that allows reduction of intervention time, in connection with technical and economic optimisation of emergency equipment.     

How can process safety and a risk management approach guide pandemic risk management?

The coronavirus disease (COVID-19) brought the world to a halt in March 2020. Various prediction and risk management approaches are being explored worldwide for decision making. This work adopts an advanced mechanistic model and utilizes tools for process safety to propose a framework for risk management for the current pandemic. A parameter tweaking and an artificial neural network-based parameter learning model have been developed for effective forecasting of the dynamic risk. Monte Carlo simulation was used to capture the randomness of the model parameters. A comparative analysis of the proposed methodologies has been carried out by using the susceptible, exposed, infected, quarantined, recovered, deceased (SEIQRD) model. A SEIQRD model was developed for four distinct locations: Italy, Germany, Ontario, and British Columbia. The learning-based approach resulted in better outcomes among the models tested in the present study. The layer of protection analysis is a useful framework to analyze the effect of different safety measures. This framework is used in this work to study the effect of non-pharmaceutical interventions on pandemic risk. The risk profiles suggest that a stage-wise releasing scenario is the most suitable approach with negligible resurgence. The case study provides valuable insights to practitioners in both the health sector and the process industries to implement advanced strategies for risk assessment and management. Both sectors can benefit from each other by using the mathematical models and the management tools used in each, and, more importantly, the lessons learned from crises.     

A framework for human error risk analysis of coal mine emergency evacuation in China

Evacuation from underground coal mine in emergency as soon as possible makes the difference between life and death. Human factors have an important impact on a successful evacuation, but literature review shows that there is a lack of consideration of human error risk during coal mine emergency evacuation in China. To address the above problems, in this paper, we established a framework for human error risk analysis of coal mine emergency evacuation, consisting of scenario and task analysis, risk assessment and risk reduction. A general evacuation procedure which is applicable for different causes is detailed through the scenario and task analysis. A new method based on expert judgment, named OGI-Model, is proposed to evaluate the reliability of human safety barrier. In this new approach, human safety barrier is divided into three sub-barriers, i.e., organization safety sub-barrier (OSSB), group safety sub-barrier (GSSB), and individual safety sub-barrier (ISSB). Each sub-barrier consists of a series of concrete measures against specific evacuation actions. An example is provided in this paper to demonstrate the use of this framework and its effectiveness.     

考虑区域灾情分级的应急物资公平调度优化模型

为解决不同受灾点应急物资公平调度的问题,受分区分级精准防控思想的启发,考虑同级间各灾点应急物资最小未满意度为基准设计公平性衡量指标,以最小化调度时间和最大化应急物资分配公平性为目标,构建一种新的考虑差异化灾情分级的应急物资公平调度优化模型,运用遗传算法求解模型,以新冠疫情重灾区湖北省作为案例仿真模拟.结果 表明:该模型...     

情景构建理论沿革及其对我国应急管理工作的启示

20世纪70年代,情景构建作为一种风险管理工具进入民防和应急管理实践者的视野,并逐步成为西方发达国家开展应急准备的核心策略,德国、英国、丹麦、荷兰等国家的风险评估规范均对情景构建这种方法给予了标准化要求。作为风险分析和应急准备工作的重要支撑策略,情景构建对我国当下的应急管理工作具有重要意义。首先,情景构建可以推进我国相关主体开展扎实的风险分析和风险沟通工作;其次,情景构建为相关主体提供了一种基于“风险”驱动的应急能力建设路径;最后,情景构建为当下改革阶段的应急管理机制建设提供了一种策略和方法。