Reducing conflicts between motor vehicles and pedestrians: the separate and combined effects of pavement markings and a sign prompt

The effects of a symbolic "yield here to pedestrians" sign and advance yield pavement markings on pedestrian/motor vehicle conflicts, motorists' yielding behavior, and the distance motorists' yield in advance of crosswalks were evaluated at multilane crosswalks at uncontrolled T intersections. In Experiment 1, the sign, when used alone, reduced pedestrian/motor vehicle conflicts and increased motorist yielding distance. The use of fluorescent yellow-green sheeting as the background of the sign did not increase the effectiveness of the sign. Further reductions in pedestrian/motor vehicle conflicts and further increases in yielding distance were associated with the addition of advance yield pavement markings. In Experiment 2, advance yield pavement markings, when used alone, were as effective in reducing pedestrian/motor vehicle conflicts and increasing yielding distance as the sign combined with pavement markings. These data suggest that the pavement markings were the essential component for reducing conflicts and increasing yielding distance.     

Responsible engineering: the importance of character and imagination

Engineering Ethics literature tends to emphasize wrongdoing, its avoidance, or its prevention. It also tends to focus on identifiable events, especially those that involve unfortunate, sometimes disastrous consequences. This paper shifts attention to the positive in engineering practice; and, as a result, the need for addressing questions of character and imagination becomes apparent.     

Why Don't People Change? What Stops Them from Changing? An Integrative Commentary on the Special Issue on Resistance

This commentary discusses the four papers from the vantage point of a cognitive-developmental view. Psychotherapeutic change involving changes in core cognitive structures is seen as threatening an individual's personal sense of identity as well as security and safety needs. Core cognitive constructs are laid down early via the principle of covariation of events and form the basis of our tacit knowledge base. Subsequent changes in this tacit knowledge is difficult because the core cognitive constructs act like a mental filter to screen in confirming data and screen out disconfirming data. Ambiguous stimuli tend to be interpreted on the basis of preexisting cognitive constructs, even when the match between event and interpretation is not ideal. Several suggestions are given for increasing the probability of changes occurring in core cognitive constructs.     

Ethical challenges in a technological environment: The perspective of engineers versus managers

In his article ‘Better Communication Between Engineers and Managers: Some Ways to Prevent Many Ethically Hard Choices’¹ Michael Davis analyzes the causes of the disaster in terms of a communications gap between management and engineers. When the communication between (representatives of) both groups breaks down, the organization is in (moral) trouble. Crucial information gets stuck somewhere in the organization prohibiting a careful discussion and weighing of all (moral) arguments. The resulting judgment has therefore little (moral) quality. In this paper I would like to comment on some of Michael Davis’s interesting and thought-provoking insights and ideas. A company which implements Davis’s recommendations at least shows some sensitivity to organizational moral issues. But it might miss the point that moral trouble can also result from a common understanding between managers and engineers. Organizational members sometimes tend to be myopic with regard to safety issues. This paper:

Psychological Safety and Appreciation of Differences in Counselor Training Programs: Examining Religion,Spirituality, and Political Beliefs

This study focused on the extent to which religion, spirituality, and political beliefs predicted counseling students' perceptions of psychological safety and appreciation of differences in their programs. The authors used hierarchical regression models to analyze data from 264 students from 4 different institutions. Results indicated that student age, political conservatism, extrinsic religiosity, and intrinsic spirituality were significant predictors of perceived psychological safety and appreciation of differences. The authors discuss implications of these findings.     

Factors contributing to hit-and-run crashes in China

Hit-and-run accidents, or those where the perpetrator leaves the crash scene without reporting the event, are a serious concern because they can delay the rescue of victims, thereby increasing the fatality rate and severity of injuries. However, only a few studies exist on the factors that influence hit-and-run behavior, particularly in developing countries. Using data collected from Guangdong Province in China, this study applies a logistic regression model to analyze factors associated with hit-and-run behavior in five categories: crash attributes and human, vehicle, road, and environmental factors. This study finds that the probability of hit-and-run behavior increases with accidents that involve pedestrians, occur in dark driving conditions, and are caused by drivers who are male, middle-aged, and without a valid driver’s license, extensive driving experience, or automobile insurance. Therefore, we recommend closer supervision and better public education for different groups of people about traffic laws and regulations.     

Traffic safety climate attitudes of road users in Germany

This paper validates traffic safety climate attitudes based on a representative sample of road users of all travel modes. We use the German version of the Traffic Climate Scale (TCS) which was applied in a large-scale road safety survey in 2010. A total of 1680 people were surveyed. The sample is representative for socio-demographic characteristics and travel mode choice in Germany. Factor analysis reveals a three-factor structure of traffic safety climate with the factor ‘External affective demands’ describing emotional engagement in traffic, the factor ‘Internal requirements’ representing individual skills and abilities to successfully participate in traffic, and the factor ‘Functionality’ describing requirements for a functional traffic system. The less emotionally demanding and the more functional traffic is perceived to be, the safer people feel in traffic. External affective demands are consistently related to the perception of others’ driving/riding style but not to one’s own, whereas internal requirements are consistently related to one’s own driving/riding style but not to the perception of others. There is no relation between traffic safety climate and accidents or near accidents. Contrary to our expectations, a positive traffic safety climate is associated with more secondary tasks while driving and traffic violations. Behavioural control beliefs may mediate the traffic climate–traffic behaviour relationship. The results are discussed with reference to attitude research and the theory of planned behaviour in particular.     

Introducing naturalistic cycling data: What factors influence bicyclists’ safety in the real world?

Presently, the collection and analysis of naturalistic data is the most credited method for understanding road user behavior and improving traffic safety. Such methodology was developed for motorized vehicles, such as cars and trucks, and is still largely applied to those vehicles. However, a reasonable question is whether bicycle safety can also benefit from the naturalistic methodology, once collection and analyses are properly ported from motorized vehicles to bicycles. This paper answers this question by showing that instrumented bicycles can also collect analogous naturalistic data. In addition, this paper shows how naturalistic cycling data from 16 bicyclists can be used to estimate risk while cycling. The results show that cycling near an intersection increased the risk of experiencing a critical event by four times, and by twelve times when the intersection presented some form of visual occlusion (e.g., buildings and hedges). Poor maintenance of the road increased the risk tenfold. Furthermore, the risk of experiencing a critical event was twice as large when at least one pedestrian or another bicyclist crossed the bicyclist’s trajectory. Finally, this study suggests the two most common scenarios for bicycle accidents, which result from different situations and thus require different countermeasures. The findings presented in this paper show that bicycle safety can benefit from the naturalistic methodology, which provides data able to guide development and evaluation of (intelligent) countermeasures to increase cycling safety.     

On-road trust and perceived risk in Level 2 automation

To encourage appropriate use of driving automation, we need to understand and monitor driver’s trust and risk perception. We examined (1) how trust and perceived risk are affected by automation, driving conditions and experience and (2) how well perceived risk can be inferred from behaviour and physiology at three levels: over traffic conditions, aggregated risk events, and individual risk events.30 users with and without automation experience drove a Toyota Corolla with driving support. Safety attitude, subjective ratings, behaviour and physiology were examined.Driving support encouraged a positive safety attitude and active driver involvement. It reduced latent hazards while maintaining saliently perceived risks. Drivers frequently overruled lane centring (3.1 times/minute) and kept their feet on or above the pedals using ACC (65.8% of time). They comfortably used support on curvy motorways and monotonic and congested highways but less in unstable traffic and on roundabouts. They trusted the automation 65.4%, perceived 36.0% risk, acknowledged the need to monitor and would not engage in more secondary tasks than during manual driving.Trust-in situation reduced 2.0% when using automation. It was 8.2% higher than trust-in-automation, presumably due to driver self-confidence. Driving conditions or conflicts between driver and automation did not affect trust-in-automation.At the traffic condition level, physiology showed weak and partially counter-intuitive effects. For aggregated risk events, skin conductance had the clearest response but was discernible from baseline in  < 50%. Pupil dilation and heart rate only increased with strong braking and active lane departure assist. For individual risk events, a CNN classifier could not identify risk events from physiology. We conclude that GSR, heart rate and pupil dilation respond to perceived risk, but lack specificity to monitor it on individual events.