Mainstreaming risk reduction in urban planning and housing: a challenge for international aid organisations

The effects of 'natural' disasters in cities can be worse than in other environments, with poor and marginalised urban communities in the developing world being most at risk. To avoid post-disaster destruction and the forced eviction of these communities, proactive and preventive urban planning, including housing, is required. This paper examines current perceptions and practices within international aid organisations regarding the existing and potential roles of urban planning as a tool for reducing disaster risk. It reveals that urban planning confronts many of the generic challenges to mainstreaming risk reduction in development planning. However, it faces additional barriers. The main reasons for the identified lack of integration of urban planning and risk reduction are, first, the marginal position of both fields within international aid organisations, and second, an incompatibility between the respective professional disciplines. To achieve better integration, a conceptual shift from conventional to non-traditional urban planning is proposed. This paper suggests related operative measures and initiatives to achieve this change.     

Application of dynamic risk analysis in offshore drilling processes

Process safety is the common global language used to communicate the strategies of hazard identification, risk assessment and safety management. Process safety is identified as an integral part of process development and focuses on preventing and mitigating major process accidents such as fires, explosions, and toxic releases in process industries. Accident probability estimation is the most vital step to all quantitative risk assessment methods. Drilling process for oil is a hazardous operation and hence safety is one of the major concerns and is often measured in terms of risk. Dynamic risk assessment method is meant to reassess risk in terms of updating initial failure probabilities of events and safety barriers, as new information are made available during a specific operation. In this study, a Bayesian network model is developed to represent a well kick scenario. The concept of dynamic environment is incorporated by feeding the real-time failure probability values (observed at different time intervals) of safety barriers to the Bayesian network in order to obtain the corresponding time-dependent variations in kick consequences. This study reveals the importance of real-time monitoring of safety barrier performances and quantitatively shows the effect of deterioration of barrier performance on kick consequence probabilities. The Macondo blowout incident is used to demonstrate how early warnings in barrier probability variations could have been observed and adequately managed to prevent escalation to severe consequences.     

安全风险分级防控在油气开发领域的探索与应用

为推动油气开发领域安全风险分级防控有效落地,提高风险预控能力,本文基于风险防控现状评估结果,探索性地研究安全风险分级防控思路,构建了油气开发领域安全风险分级防控体系推进模型,提出了逆向与正向危害因素识别方法,明确了风险评价关键隐性过程原则,构建了风险-后果-能资分级防控决断模型。选取典型试点单位进行实践,结果证明,油气开发领域安全风险分级防控体系推进模型是科学合理的,其他领域也可借鉴该模型开展安全风险分级防控工作。     

锂电池检测的安全标准及安全防护研究

为评估并提高锂电池在使用、储存和运输过程中的安全,本文归纳总结了国内外锂电池安全检测的相关标准,对标准中测试项目异同作了重点分析和对比,并讨论了锂电池的安全风险及风险分级情况。同时,鉴于锂电池检测过程中可能出现的起火、爆炸等危险,探讨了电池检测过程的安全防护技术,并从样品区和试验区两方面提出了安全防护要求和建议。     

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。     

灾害救援中基于民众心理感知的应急物资多阶段分配问题研究

为有效解决在保证高效完成救援任务的同时考虑受灾民众行为,进而提高灾民对救援处置效果的满意度问题,结合行为运筹学相关理论和不公平厌恶理论,提出民众对于应急物资到达时间的风险感知度量模型,以及民众对于所得到的应急物资数量的公平满意度度量模型,构建基于灾民心理感知的应急物资多阶段调度模型,解决应急物资到达时间风险感知、物资分发数量公平满意度等多目标下的调配决策问题;设计基于蚁群优化思想的求解算法。研究结果表明:通过实例分析对比验证了模型在提升灾区民众对于应急物资分发策略满意度方面的有效性。     

铁路沿线可燃重气储罐最小隔离区域划分探讨*

为保护铁路线,以某化工厂距离高铁路线最近的丙烯球罐为例,提出丙烯球罐泄漏最小隔离区域划分方法以及2种保护高铁线路方案,利用重气扩散模型和定量风险评价（QRA）软件分别进行丙烯扩散模拟、爆炸模拟,并进行危险与可操作性分析（HAZOP）和保护层分析（LOPA）。结果表明:球罐发生泄漏及火灾爆炸等事故,会给附近铁路线带来严重破坏;丙烯泄漏或球罐因周围其他设备设施或可燃物质着火而温度升高时,保护措施不足;隧道的安全可靠性要高于仅设1道防爆墙,隧道长度需覆盖最小隔离区域的可及范围,在扩散区域内也需设立普通挡墙,在极度危险情况下,需要实施高铁停开等保护措施。     

基于复杂网络的燃气管线破裂灾害链风险分析*

为提高燃气管线突发事件应急处置决策水平和应急响应能力及效率,采用复杂网络理论和灾害链演化机理对燃气管线破裂灾害事件影响进行耦合分析,构建燃气管线破裂灾害链网络和风险评估模型,并计算得出燃气管线破裂灾害链风险度。为更准确地表达无传播路径的灾害事件之间的关系,将灾害网络中所有最短路径长度的最大值作为其最短路径长度,计算表明这种算法更符合灾害传播实际情况。结果表明:通过燃气管线破裂灾害链风险分析,能够为燃气管线灾害风险控制措施和方案制定提供参考,有利于提高燃气管线破裂灾害事件的应急处置能力和决策水平。     

土壤污染风险规制中的行政裁量研究

我国土壤污染风险规制在专家遴选标准、建设用地和农用地污染风险管控要求,以及风险管控措施等方面存在不同程度的行政裁量。社会理性和科学理性的缺失形成了土壤污染风险行政裁量困局。土壤污染信息制度中“适时公开”的规定使得公众缺乏必要污染信息,弱化其参与程度,导致对行政决定合法性的质疑。此外,土壤污染风险管控标准中专家遴选标准和论证规则的欠缺导致土壤污染风险规制科学理性的缺失。为此,需要建构关照事实和规范的协商式行政裁量模式,强调公众的实质性参与以弥合技术理性和公众理性的鸿沟。同时,在程序上确定专家遴选标准和风险管控标准的论证规则以保证土壤污染风险管控的科学性和客观性。在不妨碍行政裁量权灵活性和能动性的前提下,规范行政裁量权的行使,控制行政裁量权的滥用。     

For the sake of my family: Understanding unethical pro-family behavior in the workplace

Unethical behaviors are prevalent and costly in organizations, and much recent research attention has been paid to different forms of workplace unethical behaviors. We contend that the extant research has overlooked an important form of workplace-related unethical behaviors: unethical behaviors that are conducted to benefit one's family but which violate societal and organizational moral rules, a construct we label as “unethical pro-family behavior” (UPFB). Our paper systematically conceptualizes UPFB and develops a scale for it. Drawing upon social cognitive theory, we argue that employees with stronger family financial pressure are more likely to employ moral disengagement mechanisms to deactivate moral self-regulation, resulting in higher levels of UPFB. Additionally, we argue that the proposed relationship is more pronounced when employees have high family motivation but is mitigated when employees have high organizational identification. Two studies are conducted for this paper. In Study 1 (N = 328 for Sample 1; N = 243 for Sample 2; N = 279 for Sample 3; N = 267 for Sample 4), we demonstrate that our UPFB scale has good construct validity and that our construct is differentiable from relevant constructs. In two time-lagged survey samples in Study 2 (N = 255 for Sample 1; N = 233 for Sample 2), we find support for our hypotheses. Theoretical and practical implications, limitations, and future directions are discussed.