Risk factors associated with truck-involved fatal crash severity: Analyzing their impact for different groups of truck drivers

Introduction: Fatal crashes that include at least one fatality of an occupant within 30 days of the crash cause large numbers of injured persons and property losses, especially when a truck is involved. Method: To better understand the underlying effects of truck-driver-related characteristics in fatal crashes, a five-year (from 2012 to 2016) dataset from the Fatality Analysis Reporting System (FARS) was used for analysis. Based on demographic attributes, driving violation behavior, crash histories, and conviction records of truck drivers, a latent class clustering analysis was applied to classify truck drivers into three groups, namely, ‘‘middle-aged and elderly drivers with low risk of driving violations and high historical crash records,” ‘‘drivers with high risk of driving violations and high historical crash records,” and ‘‘middle-aged drivers with no driving violations and conviction records.” Next, equivalent fatalities were used to scale fatal crash severities into three levels. Subsequently, a partial proportional odds (PPO) model for each driver group was developed to identify the risk factors associated with the crash severity. Results' Conclusions: The model estimation results showed that the risk factors, as well as their impacts on different driver groups, were different. Adverse weather conditions, rural areas, curved alignments, tractor-trailer units, heavier weights and various collision manners were significantly associated with the crash severities in all driver groups, whereas driving violation behaviors such as driving under the influence of alcohol or drugs, fatigue, or carelessness were significantly associated with the high-risk group only, and fewer risk factors and minor marginal effects were identified for the low-risk groups. Practical Applications: Corresponding countermeasures for specific truck driver groups are proposed. And drivers with high risk of driving violations and high historical crash records should be more concerned.     

Predicting the frequency of accidents in port areas by developing event trees from historical analysis

The historical analysis of 828 accidents in port areas, which have been selected from a database, has been used to identify the sequences of the accidents. Processing these data has allowed the event trees and the probability of the various accident scenarios to be determined. By using these event trees and figures detailing the frequency of the events that initiated the accidents, as taken from various authors, the frequency of the accidents has been determined.     

On the critique of Beck’s view on risk and risk analysis

Ulrich Beck’s stand on risk and risk analysis has been challenged by many researchers. In this paper we look closer into some of the arguments used, with a main focus on the fundamental analysis carried out by Campbell and Currie. These two authors argue that Beck’s criticisms of the theory and practice of risk analysis are groundless: Beck’s understanding of what risk is, is badly flawed, and he misunderstands and distorts the use of probability in risk analysis. However, the analysis of Campbell and Currie is based on a set of premises, for example that risk is a function of probability and harm, and that risk really exists and one can be wrong about risk. Although such ideas are common, they can be challenged, and in the literature a number of alternative perspectives have been suggested. The purpose of the present paper is to study Beck’s stand on risk analysis and the related critique of Campbell and Currie and others, in view of some of these alternative perspectives on risk. To what extent is the critique then justified? The paper concludes that the case raised against Beck’s view is still strong and relevant, but has to be nuanced with respect to some important issues, for example concerning the distinction between belief and truth when it comes to risk. Allowing for spacious interpretations of some of Beck’s theses, the paper provides strengthened support for Beck’s view on these points.     

液体火箭共底破裂爆炸安全设防距离

针对航天发射场一旦发生低温推进剂泄漏而导致火箭爆炸,会对人员和财产造成重大损失的问题,采用TNT当量模型和TNO(The Netherlands Organization)多能模型计算不同摩尔百分比的氢氧推进剂混合反应时产生爆炸冲击波的危害性,并模拟爆炸冲击波造成的事故影响范围,然后对两种模型的仿真结果加以对比分析,根据最不利原则选取出最终需要的结果,最后划分出安全设防距离。由仿真结果可知,不同的氢氧混合摩尔百分比造成的爆炸后果不同,同时TNT当量模型在爆炸近场处高估了爆炸超压值,在爆炸远场处低估了爆炸超压值,而TNO多能模型在理论上有效地对这一缺陷进行了弥补。对航天发射场的安全布局起到了一定的参考价值。     

Ambivalence towards discourse of disaster resilience

This paper investigates empirically how the international aid community (IAC)—donors and practitioners—considers and implements disaster resilience in a specific country setting, Nepal, and throughout the rest of the world. A key finding is that there is ambivalence about a concept that has become a discourse. On a global level, the IAC utilises the discourse of resilience in a cautiously positive manner as a bridging concept. On a national level, it is being used to influence the Government of Nepal, as well as serving as an operational tool of donors. The mythical resilient urban community is fashioned in the IAC's imaginary; understanding how people create communities and what type of linkages with government urban residents desire to develop their resilience strategies is missing, though, from the discussion. Disaster resilience can be viewed as another grand plan to enhance the lives of people. Yet, regrettably, an explicit focus on individuals and their communities is lost in the process.     

Tell the truth or not? The montero mechanism for emissions control at work

We experimentally test the truth-telling mechanism proposed by Montero (2008) for eliciting firms' abatement costs. We compare this mechanism with two well-known alternative allocation mechanisms, free and costly allocation of permits at the Pigouvian price. Controlling for the number of firms and the firms' maximal emissions, we find that, in line with the theoretical predictions, firms over-report their maximal emissions under free allocation of permits and under-report these under costly allocation of permits. Under Montero's mechanism, by contrast, firms almost always report their maximal emissions truthfully. However, in terms of efficiency, the difference between Montero's mechanism and costly allocation disappears with industries including more than one firm.     

Do energy prices affect employment? Decomposed international evidence

This paper analyzes the energy price-employment nexus and contributes to the literature by showing that it is important to decompose the regulatory effect into demand, cost, and factor-shift effects. This is done by means of a cross-country multi-sectoral dataset. The results show that both rising energy prices and shadow prices of energy have no significant effect on net employment when the manufacturing sectors only are analyzed. While finding significant variations across countries, the average employment effects become significantly positive once jobs in the economy as a whole are considered. This change is driven mainly by larger positive cost effects, which more than offset the negative demand effects and reductions in the positive factor-shift effects. Moreover, the paper reveals that the often implemented approach of using a simple regulation regressor, instead of decomposing the employment effect, can result in biased estimates.     

Uncertainties in QRA: Analysis of losses of containment from piping and implications on risk prevention and mitigation

Quantitative Risk Assessment (QRA) is commonly used in the chemical industry to support decision-making. Common practices are based on standard methods, such as fault tree, event tree, etc.; in this frame, risk is a function of frequency of events (probability) and associated consequences (negative outcomes), but relevant uncertainties often are not properly taken into account in the derived results. This paper presents the application of an extended risk analysis of loss of containments for a case-study with the following aims: firstly, the uncertainties related to the results of the analysis, which derive from assumption in the application of the standard models, are qualitatively assessed; secondly the application allows evaluating the impact of the uncertainties on the trustworthiness of the results and, finally, commenting about their use in the risk prevention and mitigation.     

Countering resistance to protected‐area extension

The establishment of protected areas is a critical strategy for conserving biodiversity. Key policy directives like the Aichi targets seek to expand protected areas to 17% of Earth's land surface, with calls by some conservation biologists for much more. However, in places such as the United States, Germany, and Australia, attempts to increase protected areas are meeting strong resistance from communities, industry groups, and governments. We examined case studies of such resistance in Victoria, Australia, Bavaria, Germany, and Florida, United States. We considered 4 ways to tackle this problem. First, broaden the case for protected areas beyond nature conservation to include economic, human health, and other benefits, and translate these into a persuasive business case for protected areas. Second, better communicate the conservation values of protected areas. This should include highlighting how many species, communities, and ecosystems have been conserved by protected areas and the counterfactual (i.e., what would have been lost without protected area establishment). Third, consider zoning of activities to ensure the maintenance of effective management. Finally, remind citizens to think about conservation when they vote, including holding politicians accountable for their environmental promises. Without tackling resistance to expanding the protected estate, it will be impossible to reach conservation targets, and this will undermine attempts to stem the global extinction crisis.