Risk assessment of highway bridges under multiple hazards

The aim of this paper is to provide a rational framework for the quantitative risk assessment of highway bridges under multiple hazards. Risk is a crucial indicator to be considered when managing structures of great importance such as highway bridges. It associates the consequences of a structural failure or malfunction with the probability of bridge failure. Time-dependent total risk is computed and the effect of structural redundancy is investigated and implemented. The proposed framework includes the estimation of the effects of multiple common hazards such as abnormal traffic loads, environmental attacks, scour, and earthquakes. The failure probabilities associated with the considered hazards are evaluated separately using different approaches. Time-dependent failure probabilities, hazard functions, and probability density functions of the time-to-failure are also assessed for each hazard. These assessments contribute to the evaluation of risk considering the traffic flow and the local economy at the bridge location. Both epistemic and aleatory uncertainties are considered in this approach. Time-dependent profiles of risk, accounting for direct and indirect consequences, are obtained for an existing highway bridge.     

Local facility hazard risk controversy and non-local hazard risk perception

Facility siting disputes are as much about the socio-politics in a place as they are about the risks posed by the facility; yet not much is known about how localized controversy about one hazard effects the perception of other, non-local, hazard risks. Our exploratory study tests the idea that a local facility risk controversy (landfill expansion) is tied to an overall sensitivity to risks from a wider range of potentially hazardous facilities. We use logistic regression models of questionnaire survey responses from 205 residents living near two landfills that were recently expanded or proposed to be expanded. Psychometric risk variables, cultural theory of risk variables, and sociodemographic variables are used as controls to see if risk-in-place/context variables related to threat and governance (e.g. fairness and fiduciary equity) predict not only risk from the landfill but also risk from three other potentially hazardous facilities (incinerator, chemical, and nuclear). The risk-in-place/context variables are predictive across all hazards but there is little consistency in the mix of predictors across models. The results suggest that facility controversy is linked to how residents view risks from non-local facility hazards and that this effect varies by place. This points to the need for more research in this area, and is suggestive that risk-hazard controversy may foster localized risk-averse places or wider risk-averse communities.     

Re-scaling risk governance using local appraisal and community involvement

This paper describes a risk governance model applied on a local scale, showing the advantages and constraints found during its application. The risk governance model, built on a municipal scale, results from the application of the International Risk Governance Council framework. The model is characterised by the cyclicity between the assessment and management spheres, assuming communication to be essential in all stages. Its application in central Portugal is rooted in a specific knowledge of hazards and their impacts, the human and financial constraints, and the expectations of citizens and stakeholders. The results show that preformatted management solutions derived from national civil protection stakeholders can be adapted to a local physical, social and institutional context. It was found that this depends significantly on the stakeholders’ concerns assessment, as this allows the subsequent risk management options to be adapted and legitimised. As a result, more appropriate land-use regulations and mitigation strategies are being designed, which are related to urban planning, road design, risk sensitisation and communication tools. However, two features are likely to lead to an overlapping of competences and conflicts concerning responsibility for decision-making in the actual civil protection structure: the current constraints on resources on an operational level and the potentially inadequate representation of stakeholders on a strategic level.     

Trust,acceptance and knowledge of technological and environmental hazards in Chile

Studies over the past decade have found empirical links between trust in risk management institutions and the risk perceptions and acceptability of various individual hazards. Mostly addressing food technologies, no study to date has explored wider possible relationships among all four core variables (risk, benefit, trust and acceptability) covering a heterogeneous group of hazards. Our prime objective was to ascertain effects among social trust in regulatory entities, and the public's perceived risk, perceived benefit and the degree of acceptability towards both technological and environmental hazards. We also assess whether trust in regulatory authorities is the cause (causal model) or a consequence (associationist model) of a hazard's acceptability for a wide and heterogeneous range of hazards on all four core variables. Using a web‐based survey, 539 undergraduates in Chile rated the five variables across 30 hazards. Implications for technology and environmental risk management organizations are discussed. Independent of the magnitude of the perceived risk or benefit surrounding a given hazard, or how knowledgeable the public claim to be of it, the trust sustained in regulatory institutions will either generate or be the consequence of public attitudes towards the hazard.     

Extrapolating understanding of food risk perceptions to emerging food safety cases

Important determinants of risk perceptions associated with foods are the extent to which the potential hazards are perceived to have technological or naturally occurring origins, together with the acute vs. chronic dimension in which the potential hazard is presented (acute or chronic). This study presents a case study analysis based on an extensive literature review examining how these hazard characteristics affect people’s risk and benefit perceptions, and associated attitudes and behaviors. The cases include E. coli incidences (outbreaks linked to fresh spinach and fenugreek sprouts), contamination of fish by environmental pollutants, (organochlorine contaminants in farmed salmon), radioactive contamination of food following a nuclear accident (the Fukushima accident in Japan), and GM salmon destined for the human food chain. The analysis of the cases over the acute vs. chronic dimension suggests that longitudinal quantification of the relationship between risk perceptions and impacts is important for both acute and chronic food safety, but this has infrequently been applied to chronic hazards. Technologies applied to food production tend to potentially be associated with higher levels of risk perception, linked to perceptions that the risk is unnatural. However, for some risks (e.g. those involving biological irreversibility), moral or ethical concerns may be more important determinants of consumer responses than risk or benefit perceptions. (Lack of) trust has been highlighted in all of the cases suggesting transparent and honest risk–benefit communications following the occurrence of a food safety incident. Implications for optimizing associated risk communication strategies, additional research linking risk perception, and other quantitative measures, including comparisons in time and space, are suggested.     

Is it all about awareness? The normalization of coastal risk

Coastal risk is already high in several parts of the world and is expected to be amplified by climate change, which makes it necessary to outline effective risk management strategies. Risk managers assume that increasing awareness of coastal risk is the key to public support and endorsement of risk management strategies – an assumption that underlies a common worldview on the public understanding of science, which has been named the deficit model. We argue that the effects of awareness are not as straightforward. In particular, awareness of coastal hazards might not lead to more technically accurate risk perceptions. Based on research on risk perception normalization, we explored the hypothesis that coastal risk awareness reduces coastal risk perception – in particular the perceived likelihood of occurrence of coastal hazards – through its effect on reliance on protective measures to prevent risk. Individuals can rely on protective measures, even when those are not effective, as a positive illusion to reduce risk perception. This effect might be stronger for higher probability hazards and for permanent residents of costal zones. Data from 410 individuals living in coastal zones corroborated most of our expectations. Global results demonstrated a risk normalization effect mediated by reliance on current measures. Additional analyses made clear that this effect occurred in 2 of the 5 high-probability hazards (flood and storm), and not in the low-probability hazard (tsunami). Normalization might be more likely among high-probability hazards which entail catastrophic and immediate impacts. This effect was also found among permanent residents, but not among temporary residents. Results imply that coastal risk management might benefit from (a) taking risk perception normalization effects into account, (b) tailoring strategies for permanent and temporary residents and (c) promoting a higher public engagement, which would facilitate a more adaptive and effective coping with coastal risk than the use of positive illusions.     

Risk assessment in internal auditing: a neural network approach

Risk assessment is a systematic process for integrating professional judgments about relevant risk factors, their relative significance and probable adverse conditions and/or events leading to identification of auditable activities (IIA, 1995, SIAS No. 9). Internal auditors utilize risk measures to allocate critical audit resources to compliance, operational, or financial activities within the organization (Colbert, 1995). In information rich environments, risk assessment involves recognizing patterns in the data, such as complex data anomalies and discrepancies, that perhaps conceal one or more error or hazard conditions (e.g. Coakley and Brown, 1996; Bedard and Biggs, 1991; Libby, 1985). This research investigates whether neural networks can help enhance auditors’ risk assessments. Neural networks, an emerging artificial intelligence technology, are a powerful non‐linear optimization and pattern recognition tool (Haykin, 1994; Bishop, 1995). Several successful, real‐world business neural network application decision aids have already been built (Burger and Traver, 1996). Neural network modeling may prove invaluable in directing internal auditor attention to those aspects of financial, operating, and compliance data most informative of high‐risk audit areas, thus enhancing audit efficiency and effectiveness. This paper defines risk in an internal auditing context, describes contemporary approaches to performing risk assessments, provides an overview of the backpropagation neural network architecture, outlines the methodology adopted for conducting this research project including a Delphi study and comparison with statistical approaches, and presents preliminary results, which indicate that internal auditors could benefit from using neural network technology for assessing risk. Copyright © 1999 John Wiley & Sons, Ltd.     

Formal Water Markets: Why, When, and How to Introduce Tradable Water Rights

In most countries the state owns the water resources and thehydraulic infrastructure, and public officials decide who getsthe water, how it is to be used, and how much will be chargedfor it. But costly inefficiencies in the supply and use of watersupport a shift from government provision to a market-basedapproach that is more effective and less wasteful. Markets can allow rapid changes in allocation in response tochanging demands for water and can stimulate investment andemployment as investors are assured of access to secure suppliesof water. Because of water's unique characteristics, such marketsdo not work everywhere; nor do they resolve all water-relatedissues. By designing appropriate water laws and regulationsand by strengthening private and public institutions to administerthem, formal water markets can effectively address rising demandsfor groundwater and for water found in rivers, lakes, and canals.Lessons from Chile's experience demonstrate that formal watermarkets can improve the economic efficiency of water use andstimulate investment.      

Influences of individual-level characteristics on risk perceptions to various categories of environmental health and safety risks

Over the last five decades, social science researchers have examined how the public perceives the risks associated with a variety of environmental health and safety (EHS) hazards. The body of literature that has been emerged diverse both in the methodology employed to collect and analyze data and in the subject of study. The findings have confirmed that risk perceptions vary between groups of individuals as well as between categories of EHS risks. However, the extant literature on EHS risk perceptions has failed to provide empirical insights into how risk perceptions can be best explained according to the interplay of both (1) the category of EHS hazard appraised and (2) the prominent individual-level characteristics that best explain observed risk perception differences. This study addresses this deficiency in the literature by providing insights into the individual and cumulative roles that various individual-level variables play in characterizing risk perceptions to various categories of EHS risks including ‘agentic risks’ like street drug use and cigarette smoking, ‘emerging technological risks’ like nanoparticles and cloning, and ‘manufacturing risks’ like air and chemical pollution. Our data are drawn from the 2009 Citizens, Science, and Emerging Technologies national study of United States households that investigated public perceptions of EHS risks, traditional and emerging media use, and various individual characteristics like personal demographics, socioeconomic factors, and perceptual filters. The findings show that some categories of EHS risks like those associated with emerging technologies may be more easily predicted than other categories of risks and that individual-level characteristics vary in their explanative power between risk categories even among a single sample of respondents.     

Embodied uncertainty: living with complexity and natural hazards

In this paper, we examine the concept of embodied uncertainty by exploring multiple dimensions of uncertainty in the context of risks associated with extreme natural hazards. We highlight a need for greater recognition, particularly by disaster management and response agencies, of uncertainty as a subjective experience for those living at risk. Embodied uncertainty is distinguished from objective uncertainty by the nature of its internalisation at the individual level, where it is subjective, felt and directly experienced. This approach provides a conceptual pathway that sharpens knowledge of the processes that shape how individuals and communities interpret and contextualise risk. The ways in which individual characteristics, social identities and lived experiences shape interpretations of risk are explored by considering embodied uncertainty in four contexts: social identities and trauma, the co-production of knowledge, institutional structures and policy and long-term lived experiences. We conclude by outlining the opportunities that this approach presents, and provide recommendations for further research on how the concept of embodied uncertainty can aid decision-making and the management of risks in the context of extreme natural hazards.     

Mental models and social representations of hazards: the significance of identity processes

This article examines the social influence processes that underpin the development of individual mental models of hazards and analyses the role that identity processes play in determining the nature and plasticity of the representations of risk that an individual will employ. It outlines the nature of the mental models approach (Morgan, Fischhoff, Bostrom and Atman, in press) to developing interventions in risk communication. It describes how social representations theory (Moscovici, 1988) can be used to account for the genesis and maintenance of a mental model of a hazard. In doing so, it is argued that mental models of hazards are social constructions, serving identifiable social purposes for the subculture in which they are elaborated, and that they are generally shared by the members of that subculture. However, within a group or subculture, there will be some individual variation in access to and use of a mental model of a hazard. It is suggested here that these variations are largely predictable on the basis of identity processes (Breakwell, in press). The implications of this analysis for risk communication strategies is explored.     

The relationship between liquidity risk and credit risk in banks

This paper investigates the relationship between the two major sources of bank default risk: liquidity risk and credit risk. We use a sample of virtually all US commercial banks during the period 1998–2010 to analyze the relationship between these two risk sources on the bank institutional-level and how this relationship influences banks’ probabilities of default (PD). Our results show that both risk categories do not have an economically meaningful reciprocal contemporaneous or time-lagged relationship. However, they do influence banks’ probability of default. This effect is twofold: whereas both risks separately increase the PD, the influence of their interaction depends on the overall level of bank risk and can either aggravate or mitigate default risk. These results provide new insights into the understanding of bank risk and serve as an underpinning for recent regulatory efforts aimed at strengthening banks (joint) risk management of liquidity and credit risks.     

基于AHP法的人民银行应急能力评估研究——以济南分行为例

应急评估是当前应急管理理论和实践中的热点和难点问题。本文针对人民银行应急评估工作现状和存在问题、总结国内外有关应急评估经验,以层次分析法(AHP)为基本方法,构建了以应急能力为核心指标的人民银行应急评估量化模型,并通过评估案例实证检验和分析了该模型的可行性和有效性。     

Evaluation of risk communication for rural water supply management: a case study of a coastal area of Bangladesh

Consumption of safe drinking water is an important public health issue. In this study, we considered the risk communication topic of human health concerns related to unsafe water consumption in rural coastal areas of Bangladesh, where potable water is scarce. Our objective was to investigate the level of knowledge that rural residents had concerning safe water consumption and to evaluate the effects of risk communication on knowledge and behavior changes. We considered four rural villages of southwest coastal areas of Bangladesh as sample. This study was based on the results of a questionnaire survey administered before and after risk communication. The pre- and post-survey were conducted during August 2009 and March 2010, respectively. Data were collected from 120 women aged 18–60 years. Two format presentations, with and without water quality information, were used to convey the risk messages. In the present study, indicator bacterial (Escherichia coli) contamination levels in drinking water sources were considered as water quality information since absence of E. coli is the safety margin for the detection of disease-causing organisms. Analysis of the survey data revealed that risk communication can be vital to changes in water consumption knowledge and behavior. Overall general knowledge scores were almost same in the pre-survey for without- (mean score 3.16) and with-information (mean score 3.10) villages. However, after risk communication, there were detectable increases in the mean scores (mean scores, 3.54 and 3.64, respectively, on a 4 point scale) for both groups. Furthermore, risk communication with water quality information appears to be a more effective method of risk communication. Dissemination of risk messages was also higher in with-information villages. Seventy four percent of the participants from with-information villages reported that they had discussed the risk messages with family members and neighbors, compared to 59% of those from without-information villages. The results of this study revealed that age, education, and distance of water sources influence changes in consumption and maintenance behavior. These findings suggest that, in addition to installation of water supply facilities, there is a need to address the low levels of knowledge about safe water consumption in rural coastal communities of Bangladesh. Location specific water quality information may be more useful to convey health risk messages concerning unsafe drinking water consumption.     

Supply chain risk: empirical research in the automotive industry

Supply chain risk management (SCRM) has become a popular topic over the past decade. It is not a surprise that the automotive industry has been a motivating arena for research within this field; however, the few existing empirical studies reveal that SCRM practices within this industry are still in their infancy. Because the identification of risks can be viewed as the trigger for SCRM, attempts to develop a risk profile for this industry that could serve as a guide to start the SCRM process are needed. This research identifies the main risks along the automotive supply chain by investigating their manifestation in three supply chains in Brazil and offers an initial risk profile for the Brazilian automotive industry. Although the importance of SCRM has been recognised by all analysed companies, the research findings underline the lack of preparedness regarding either identifying risk or considering risk-mitigation strategies and risk assessment. In this context, this study identifies the main risk in which a supply chain can be exposed, through the analysis of real-life manifested risks along different supply chains, as a way to help the supply chain start a SCRM process.     

农业供应链金融风险的主要特征与风险防范的基本原则

我国农业供应链突出表现为“集体化”、“现代化”和“生态化”,资金的安全性、流动性和信用程度都需要整体协同管控。交易成本和信息不对称决定了我国农业供应链以间接融资为主,其金融风险的特征主要表现为道德风险突出、整体风险难识别、可能引致区域系统性风险和行业系统性风险。因此,应当因地制宜确定农业供应链金融支持项目,并运用系统论原理控制农业供应链金融风险。     

养老机构安全事故演化机理和风险管控法治化路径

本文描述了火灾、疫病流行、侵犯人身权益等风险敞口在不同类型养老机构中的暴露程度,阐释了险源循着点源、离散集中源、线源、面源而演变,直至逼近临界点或遇有导火索而引爆事故的机理。本文结合养老机构事故案例分析发现:消除“不安全状态和不安全行为”是切断事故因果链的关键一环;路径依赖中的自我强化和沉没成本对安全管理升级产生不利影响。本文从法治化建设的视角对养老机构安全风险管控路径提出建议:赋予消防执法改革更高层级的法律依据;依法完善养老机构疫情防控举措和《养老机构服务合同》;注重安全风险管控中的补偏救弊;强化突发安全事故的应急处置等。本文基于对调研资料和相关案例由表及里的剖析,使这些来源于基层实践的素材能够在理论层面还原实践且具有政策价值。     

首都经济社会发展中的水资源约束问题研究

协调经济社会发展与水资源关系是我国当前紧迫而重要的命题,水资源的有限性和用水需求的不断增长成为我国城市化进程中无法回避的矛盾。北京作为我国的首都,水资源短缺已成为其实现可持续发展的主要制约因素。本文从总量与构成两个层面分析了北京市的水资源在总量、供给、需求等方面的现状及近年来的变动趋势,指出尽管在节水方面取得了很大成绩,但北京水资源总量严重减少,为满足需求,不得不依靠对地下水的常年超采,由此产生了一系列问题。本文深入分析了北京市水资源短缺的原因,并在此基础上对加强水资源保护与管理提出了一系列政策建议,希望能最大限度地发挥水资源的综合利用效益,实现水资源系统、社会经济系统、自然生态系统的协调统一,最终促进北京的可持续发展。     

On long-term credit risk assessment and rating: towards a new set of models

Institutional investors are supposed to assess credit risk by using a combination of quantitative information such as option models and qualitative assessments. Although option models can be easily constructed, they are not so suitable for the assessment of long-term credit risk that is required by institutional investors. This is mainly because the probability of bankruptcy varies so widely depending on the timing of assessment. We propose a new set of assessment models for long-term credit risk which does not necessarily use stock prices and may incorporate business cycles. The new grand model consists of the two pillars: a long-term cash flow prediction model and a credit risk spread assessment model. The calculated values derived from these models are effectively usable for reasonable calculation of risk spreads. It is quite interesting to see that our investigation indicates that rating bias may exist in the credit risk assessment of the market.