We developed a hazard perception test, modeled on that used currently in several Australian states, that presents short video scenes to observers and requires them to indicate the presence of a traffic conflict that would lead to a collision between the "camera" vehicle and another road user. After eliminating those scenes that were problematic (e.g., many observers did not recognize the hazard), we predicted driver group (novice vs. experienced drivers of similar age) on the basis of individual differences in reaction time, miss rate and false alarm rate. Novices were significantly slower in responding to hazards, even after controlling for age and simple reaction time. After selecting those scenes with the larger group differences, an 18-scene test that would be useful for mass testing exhibited even larger experience effects. There was good reliability in the resulting scale. Results suggest that this brief test of hazard perception can discriminate groups that differ in driving experience. Implications for driver licensing, evaluation and training are discussed.
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http://dx.doi.org/10.1016/j.aap.2010.08.010 | DOI Listing |
BMC Public Health
January 2025
Environmental Health Research Center, Faculty of Health, Golestan University of Medical Sciences, Gorgan, Iran.
Introduction: Studies have consistently demonstrated a strong link between cigarette smoking and an increased risk of cardiovascular diseases (CVD). On the other hand, studies have shown that most smokers do not have a real understanding of the cardiovascular health hazards of smoking. Therefore, the study aimed to determine the perceived risk of Myocardial Infarction (MI), Hypertension (HTN), and Stroke among current smokers in Iran.
View Article and Find Full Text PDFHeliyon
January 2025
Key Lab of Forensic Science, Ministry of Justice, China (Academy of Forensic Science), Shanghai, 200063, China.
Testing autonomous vehicles (AVs) in hazardous scenarios is a crucial technical approach to ensure their safety. A key aspect of this process is the generation of hazard scenarios. In general, such scenarios are generated through cluster analysis of traffic accident data.
View Article and Find Full Text PDFCommun Earth Environ
January 2025
Department of Environmental & Resource Engineering, Technical University of Denmark, Kongens Lyngby, Denmark.
Permafrost thaw poses diverse risks to Arctic environments and livelihoods. Understanding the effects of permafrost thaw is vital for informed policymaking and adaptation efforts. Here, we present the consolidated findings of a risk analysis spanning four study regions: Longyearbyen (Svalbard, Norway), the Avannaata municipality (Greenland), the Beaufort Sea region and the Mackenzie River Delta (Canada) and the Bulunskiy District of the Sakha Republic (Russia).
View Article and Find Full Text PDFAccid Anal Prev
January 2025
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China. Electronic address:
Blind spot collisions are a critical and often overlooked threat to pedestrian safety, frequently resulting in severe injuries. This study investigates the impact of automated vehicles equipped with external human-machine interfaces (eHMIs) on pedestrian crossing behavior and safety, focusing on scenarios where AVs create mutual blind spots between pedestrians and adjacent traffic. A virtual reality experiment with 51 participants simulated crossing situations in front of yielding trucks with obstructed pedestrian visibility, featuring three eHMIs: 'Walk,' 'Don't Walk,' and 'Caution! Blind Spots'.
View Article and Find Full Text PDFAccid Anal Prev
January 2025
School of Architecture and Art, Central South University, Changsha, Hunan 410075, China.
The built environment of old residential neighborhoods poses heightened perceived traffic risks for school-aged children due to their limited cognitive ability to assess hazards, underdeveloped understanding of traffic patterns, and inadequate infrastructure in these areas. However, studies on the impacts of neighborhood environments on children's traffic risk perceptions remain limited. This study aims to reveal the influence of individual attributes, as well as macro- and micro-level environmental factors, on children's risk perception using a hierarchical ordered logit model with random effects.
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