Interpersonal violations,speeding violations and their relation to accident involvement in Finland

The aim of the present study was to replicate the distinction between errors, lapses and violations, and to identify aggressive violations from normal or highway code violations. Furthermore, the relationship of these behaviours with road traffic accidents was examined. A total number of 1126 Finnish drivers completed a questionnaire containing the Driver Behaviour Questionnaire (DBQ) with extended violations scale, and questions regarding background information, such as age, gender and mileage. Also, questions about previous accidents and fines were asked. Factor analysis showed that a four-factor structure seemed more appropriate than the earlier established three-factor structure. The four factors were errors, lapses, speeding violations and interpersonal violations. The two types of violations result from different motives, and seem to be associated with different kinds of affect. Both interpersonal and speeding violations were reported most by young males, which was consistent with earlier findings. Logistic regression analyses indicated that errors predicted active accident involvement after partialling out the effects of demographic variables, whereas interpersonal violations were positively related to involvement in passive accidents. This was presumably due to different reporting tendencies of respondents. Speeding tickets were predicted by speeding and interpersonal violations and lapses and penalties for speeding by both kinds of violations and errors. Penalties for speeding, parking and other offences were predicted by interpersonal violations. The implications of these results are discussed.     

Aberrant driving behaviour: errors and violations

The present study was a replication of the research of Reason et al. (1990). Its aim was to confirm the distinction between driving errors and violations in a Western Australian driving population. Sixty-one male drivers and 74 female drivers completed a questionnaire containing items on driver demographics, driving penalties incurred, driving convictions and accident history and driver behavioural aberrations drawn from the Driver Behaviour Questionnaire (DBQ). In agreement with Reason et al. factor analysis revealed three factors; in the present study these were general errors, dangerous errors, and dangerous violations. Young drivers committed more dangerous errors and dangerous violations than older drivers. Females reported more dangerous errors than males. Males reported more dangerous violations than females. Drivers who reported a high level of road exposure and those who reported having been convicted for speeding reported more dangerous violations. Differences in the results of the two studies can largely by accounted for by differences in the representation of age and gender in the two populations studied.     

Errors and violations on the roads: a real distinction?

In considering the human contribution to accidents, it seems necessary to make a distinction between errors and violations; two forms of aberration which may have different psychological origins and demand different modes of remediation. The present study investigated whether this distinction was justified for self-reported driver behaviour. Five hundred and twenty drivers completed a driver behaviour questionnaire (DBQ) which asked them to judge the frequency with which they committed various types of errors and violations when driving. Three fairly robust factors were identified: violations, dangerous errors, and relatively harmless lapses, respectively. Violations declined with age, errors did not. Men of all ages reported more violations than women. Women, however, were significantly more prone to harmless lapses (or more honest) than men. These findings were consistent with the view that errors and violations are indeed mediated by different psychological mechanisms. Violations require explanation in terms of social and motivational factors, whereas errors (slips, lapses, and mistakes) may be accounted for by reference to the information-processing characteristics of the individual.     

Driving errors,driving violations and accident involvement

Abstract

A survey of over 1600 drivers is reported, the results of which are consistent with those reported in an earlier study (Reason et al. 1990), which identified a three-fold typology of aberrant driving behaviours. The first type, lapses, are absent-minded behaviours with consequences mainly for the perpetrator, posing no threat to other road users. The second type, errors, are typically misjudgements and failures of observation that may be hazardous to others. The third type, violations, involve deliberate contraventions of safe driving practice. In the present study the survey instrument used, the Driver Behaviour Questionnaire, was also shown to be reliable over time. Each type of behaviour was found to have different demographic correlates. Most importantly, accident liability was predicted by self-reported tendency to commit violations, but not by tendency to make errors or to have lapses. The implications for road safety are discussed.     

A cognitive approach to safe violations

Classically, humans have been perceived as a source of faults in systems. Modern ergonomic views are promoting a somewhat different idea according to which humans are a factor of safety in unexpected situations. The safety of a system cannot be achieved without taking into account these two sides of cognition which compose what is called cognitive flexibility. In this paper, we will consider the cases of a nuclear accident and a plane crash-landing where human cognitive flexibility has impacted the final safety of the system. We aim to discuss the violations that humans have performed in these cases with the assumption that these violations do not always deteriorate system safety. The discussion gravitates around a core argument according to which violations per se do not inform on the safety impairments in a system. Some other dimensions have to be taken into account. We are of the opinion that, among these other dimensions, the accuracy of the operators mental model plays a key role, allowing some violations to improve system safety in emergency situations.This revised version was published online in November 2003 with corrections in the article history.     

Unsafe acts and unsafe outcomes in aircraft maintenance

Road safety studies using the Driver Behaviour Questionnaire (DBQ) have provided support for a three-way distinction between violations, skill-based errors and mistakes, and have indicated that a tendency to commit driving violations is associated with an increased risk of accident involvement. The aims of this study were to examine whether the three-way distinction of unsafe acts is applicable in the context of aircraft maintenance, and whether involvement in maintenance safety occurrences can be predicted on the basis of self-reported unsafe acts. A Maintenance Behaviour Questionnaire (MBQ) was developed to explore patterns of unsafe acts committed by aircraft maintenance mechanics. The MBQ was completed anonymously by over 1300 Australian aviation mechanics, who also provided information on their involvement in workplace accidents and incidents. Four factors were identified: routine violations, skill-based errors, mistakes and exceptional violations. Violations and mistakes were related significantly to the occurrence of incidents that jeopardized the quality of aircraft maintenance, but were not related to workplace injuries. Skill-based errors, while not related to work quality incidents, were related to workplace injuries. The results are consistent with the three-way typology of unsafe acts described by Reason et al. (1990) and with the DBQ research indicating an association between self-reported violations and accidents. The current findings suggest that interventions addressed at maintenance quality incidents should take into account the role of violations and mistakes, and the factors that promote them. In contrast, interventions directed at reducing workplace injury are likely to require a focus on skill-based errors.     

Predicting unsafe behaviors at nuclear power plants: An integration of Theory of Planned Behavior and Technology Acceptance Model

Unsafe behaviors, including both errors and violations, have been identified as key contributors to accidents at nuclear power plants. However, the mechanisms behind such unsafe behaviors are not fully understood. This study aimed to investigate how workers' attitude and perception factors would predict errors and violations at nuclear power plants by proposing and validating an unsafe behavior model. The proposed model applied the Theory of Planned Behavior as the ground theoretical model and added factors from Technology Acceptance Model to capture workers’ perception of work regulations. To examine the validity of the proposed model, a total of 178 questionnaires were distributed at two nuclear power plants in China and 171 valid questionnaires were returned. The Structured Equation Modeling (SEM) analysis indicated that the proposed model fitted the data well. The results showed that perceived ease of use and perceived usefulness in following work regulations contributed to a positive attitude, which helped reduce the occurrence of both errors and violations. Moreover, errors were further affected by subjective norm while violations were not. Perceived behavior control was not a significant factor of either errors or violations.These findings suggest that to reduce errors and violations, policymakers should focus on methods to improve the perceived usefulness and perceived ease of use of work regulations, and promote a positive attitude towards safety.     

Unsafe acts and unsafe outcomes in aircraft maintenance

Road safety studies using the Driver Behaviour Questionnaire (DBQ) have provided support for a three-way distinction between violations, skill-based errors and mistakes, and have indicated that a tendency to commit driving violations is associated with an increased risk of accident involvement. The aims of this study were to examine whether the three-way distinction of unsafe acts is applicable in the context of aircraft maintenance, and whether involvement in maintenance safety occurrences can be predicted on the basis of self-reported unsafe acts. A Maintenance Behaviour Questionnaire (MBQ) was developed to explore patterns of unsafe acts committed by aircraft maintenance mechanics. The MBQ was completed anonymously by over 1300 Australian aviation mechanics, who also provided information on their involvement in workplace accidents and incidents. Four factors were identified: routine violations, skill-based errors, mistakes and exceptional violations. Violations and mistakes were related significantly to the occurrence of incidents that jeopardized the quality of aircraft maintenance, but were not related to workplace injuries. Skill-based errors, while not related to work quality incidents, were related to workplace injuries. The results are consistent with the three-way typology of unsafe acts described by Reason et al. (1990) and with the DBQ research indicating an association between self-reported violations and accidents. The current findings suggest that interventions addressed at maintenance quality incidents should take into account the role of violations and mistakes, and the factors that promote them. In contrast, interventions directed at reducing workplace injury are likely to require a focus on skill-based errors.     

Attitudes towards traffic safety, driving behaviour and accident involvement among the Norwegian public

The present study aims at identifying determinants of risk behaviour and accident involvement in traffic. The results are based on a self-completion questionnaire survey carried out among a representative sample of Norwegian drivers drawn from the driver's licence register. The data was collected in year 2000 and 2001 (n=2614). The questionnaire included measures of attitudes, risk behaviour and involvement in accidents and near accidents. The results showed that attitudes towards traffic safety issues influenced involvement in risk behaviour in traffic, especially attitudes towards rule violations and speeding. Risk behaviour had an effect on involvement in near accidents and accidents. Variations in attitudes and risk behaviour were related to age and gender.     

Attitudes towards traffic safety,driving behaviour and accident involvement among the Norwegian public

The present study aims at identifying determinants of risk behaviour and accident involvement in traffic. The results are based on a self-completion questionnaire survey carried out among a representative sample of Norwegian drivers drawn from the driver's licence register. The data was collected in year 2000 and 2001 (n?=?2614). The questionnaire included measures of attitudes, risk behaviour and involvement in accidents and near accidents. The results showed that attitudes towards traffic safety issues influenced involvement in risk behaviour in traffic, especially attitudes towards rule violations and speeding. Risk behaviour had an effect on involvement in near accidents and accidents. Variations in attitudes and risk behaviour were related to age and gender.     

浅议对网络侵权的法律规制

互联网的发展深刻地影响着中国社会的发展,它促进经济结构的调整、转变经济发展方式等方面发挥着越来越重要的作用,日益成为人们生活、工作、学习不可或缺的工具。但是,随着互联网的高速发展,网络中的各种侵权行为又对我国互联网的发展提出了严峻的挑战。     

浅议对网络侵权的法律规制

互联网的发展深刻地影响着中国社会的发展,它促进经济结构的调整、转变经济发展方式等方面发挥着越来越重要的作用,日益成为人们生活、工作、学习不可或缺的工具。但是,随着互联网的高速发展,网络中的各种侵权行为又对我国互联网的发展提出了严峻的挑战。     

Associations between errors and contributing factors in aircraft maintenance

In recent years cognitive error models have provided insights into the unsafe acts that lead to many accidents in safety-critical environments. Most models of accident causation are based on the notion that human errors occur in the context of contributing factors. However, there is a lack of published information on possible links between specific errors and contributing factors. A total of 619 safety occurrences involving aircraft maintenance were reported using a self-completed questionnaire. Of these occurrences, 96% were related to the actions of maintenance personnel. The types of errors that were involved, and the contributing factors associated with those actions, were determined. Each type of error was associated with a particular set of contributing factors and with specific occurrence outcomes. Among the associations were links between memory lapses and fatigue and between rule violations and time pressure. Potential applications of this research include assisting with the design of accident prevention strategies, the estimation of human error probabilities, and the monitoring of organizational safety performance.     

A systems approach to organizational error

Abstract

The past two decades have seen a significant number of large-scale disasters in a wide range of hazardous, well-defended technologies. Despite their differences, the root causes of these accidents have been traced to latent failures and organizational errors arising in the upper echelons of the system in question. A model of the aetiology of these organizational accidents is outlined. The model describes two interrelated causal sequences: (a) an active failure pathway that originates in top-level decisions and proceeds via error-producing and violation-promoting conditions in the various workplaces to unsafe acts committed by those at the immediate human-system interface and (b) a latent failure pathway that runs directly from the organizational processes to deficiencies in the system's defences. The paper goes on to identify two sets of dependencies associated with latent failures and violations. Organizational errors increase the likelihood of operator error through the active failure pathway and, at the same time, enhance the possibility of adverse outcomes through defensive weaknesses. Violations have a narrower range of consequences. Non-compliance with safe operating procedures increases the likelihood of error by taking perpetrators into regions of operation in which neither the physical regime nor the hazards are well understood. Violations, by definition, also take perpetrators ‘closer to the edge,’ and thus increase the chance that subsequent errors will have damaging outcomes. The paper concludes by indicating two ways in which the model has been applied in industrial settings: (a) through the development of proactive measures for diagnosing and remedying organizational processes known to be implicated in accident causation, and (b) an accident investigation technique that guides investigators and analysts to the organizational root causes of past accidents.     

A quarter of a century of the DBQ: some supplementary notes on its validity with regard to accidents

This article synthesises the latest information on the relationship between the Driver Behaviour Questionnaire (DBQ) and accidents. We show by means of computer simulation that correlations with accidents are necessarily small because accidents are rare events. An updated meta-analysis on the zero-order correlations between the DBQ and self-reported accidents yielded an overall r of .13 (fixed-effect and random-effects models) for violations (57,480 participants; 67 samples) and .09 (fixed-effect and random-effects models) for errors (66,028 participants; 56 samples). An analysis of a previously published DBQ dataset (975 participants) showed that by aggregating across four measurement occasions, the correlation coefficient with self-reported accidents increased from .14 to .24 for violations and from .11 to .19 for errors. Our meta-analysis also showed that DBQ violations (r = .24; 6353 participants; 20 samples) but not DBQ errors (r = ? .08; 1086 participants; 16 samples) correlated with recorded vehicle speed.

Practitioner Summary: The DBQ is probably the most widely used self-report questionnaire in driver behaviour research. This study shows that DBQ violations and errors correlate moderately with self-reported traffic accidents.     

Application of Expectancy Violations Theory to communication with and judgments about embodied agents during a decision-making task

Because users treat embodied agents (EAs) as social actors, users hold expectations about human-to-EA communication (HtEAC) similar to those in human-to-human communication. This study extends Expectancy Violations Theory (EVT) to examine how different forms of interfaces that confirm or violate user expectations affect the communication process, social judgments, ability to influence, and accuracy of recall associated with HtEAC. Positive violations of expectancy are acts or characteristics of the EA that are unexpected but evaluated favorably by the human partner. Results suggest that when the EA deviates from expectations, effects on the HtEAC process and related outcomes can be more pronounced. EAs evaluated as positive violations had more favorable effects on task attractiveness than other human or EA interaction partners. As predicted by EVT, EA interactions that were positively evaluated elicited more perceived connectedness, feelings of being understood/receptivity, and dependability than those EA interactions evaluated negatively. However, negative violations did not produce worse outcomes than negative confirmations. EVT offers a useful lens for examining the communication effects of HtEAC and points to benefits of creating EAs that evoke positive violations of expectancy.     

Driving violations observed: an Australian study

This study analyses 2,765 cases of driving behaviours in three Australian states - New South Wales, Queensland and Victoria. Data were gathered from in-car coordinated video and audio recording sequences in free-flowing traffic along two-, three- and four-lane highways with varying speed limits on all days of the week in daylight and fine weather conditions. Explanatory variables included driver age group and gender, passenger characteristics and vehicle age and type. Response variables included driving violations and other driving behaviours, including lane use, speeding, close following (tailgating), driver's hands position and mobile phone use. Data were analysed qualitatively and quantitatively. By focusing upon vehicle and driver characteristics, and their impact on driving behaviours, including identified violations, this study explores some implications both for future research and for traffic policy makers.     

Human errors and violations in computer and information security: the viewpoint of network administrators and security specialists

This paper describes human errors and violations of end users and network administration in computer and information security. This information is summarized in a conceptual framework for examining the human and organizational factors contributing to computer and information security. This framework includes human error taxonomies to describe the work conditions that contribute adversely to computer and information security, i.e. to security vulnerabilities and breaches. The issue of human error and violation in computer and information security was explored through a series of 16 interviews with network administrators and security specialists. The interviews were audio taped, transcribed, and analyzed by coding specific themes in a node structure. The result is an expanded framework that classifies types of human error and identifies specific human and organizational factors that contribute to computer and information security. Network administrators tended to view errors created by end users as more intentional than unintentional, while errors created by network administrators as more unintentional than intentional. Organizational factors, such as communication, security culture, policy, and organizational structure, were the most frequently cited factors associated with computer and information security.     

Inter-domain policy violations in multi-hop overlay routes: Analysis and mitigation

The Internet is a complex structure arising from the interconnection of numerous autonomous systems (AS), each exercising its own administrative policies to reflect the commercial agreements behind the interconnection. However, routing in service overlay networks is quite capable of violating these policies to its advantage. To prevent these violations, we see an impending drive in the current Internet to detect and filter overlay traffic. In this paper, we first present results from a case study overlay network, constructed on top of PlanetLab, that helps us gain insights into the frequency and characteristics of the different inter-domain policy violations. Further, we investigate the impact of two types of overlay traffic filtering that aim to prevent these routing policy violations: blind filtering and policy-aware filtering. We show that such filtering can be detrimental to the performance of overlay routing. We next consider two approaches that allow the overlay network to realize the full advantage of overlay routing in this context. In the first approach, overlay nodes are added so that good overlay paths do not represent inter-domain policy violations. In the second approach, the overlay acquires permits from certain ASes that allow certain policy violations to occur. We develop a single cost-sharing framework that allows the incorporation of both approaches into a single strategy. We formulate and solve an optimization problem that aims to determine how the overlay network should allocate a given budget between paying for additional overlay nodes and paying for permits (transit and exit) to ASes. We illustrate the use of this approach on our case study overlay network and evaluate its performance under varying network characteristics.     

自动修复短时序违反路径的FPGA布线算法

为了解决寄存器保持时间不满足而引起的短路径问题, 提出一种自动修复短时序违反路径的FPGA布线算法。在VPR时序布线算法整体布线布通之后, 调用短路径时序分析来获取违反短时序约束的布线连接, 然后通过修改代价函数, 对每条违反短时序约束的连接进行增量布线, 使每条连接的路径延时尽可能达到满足短时序约束所需的延时。实验结果表明, 本算法与VPR时序驱动布线算法相比, 能够平均修复94. 7%的短时序违反路径, 而运行时间仅增加了6. 8%。