This data article examines the association driver's features, perceptions and attitudes towards autonomous vehicles (AVs). The data was collected using a structured self-administrable and online-based questionnaire, applied to a full sample of 1205 Spanish drivers. The data contains 4 parts: the full set of bivariate correlations between study variables; descriptive statistics and graphical trends for each main study variable according to gender, age group and city/town size; and, finally, the dataset for further explorations in this regard. For more information, it is convenient to read the full article entitled "Perceived safety and attributed value as predictors of the intention to use autonomous vehicles: A national study with Spanish drivers" [1].

Background: Vision is an undisputable contributor to the explanation of many human-factor related traffic crashes happening every day. The Inland Transport Committee (ITC), the United Nations regulatory platform, included on 1st April 2020 special action on the vision of road users inside the ITC Recommendations for Enhancing Road Safety Systems. The results of this wide-scale study on drivers’ vision health conducted in Spain perfectly illustrates the need of global action and its potential impact on the public health figures and the burden of potentially preventable traffic causalities. Objective: The aim of this study was to assess three key visual health issues (i.e., visual acuity, visual field campimetry and glare recovery) among Spanish drivers, in order to formulate implications and possible guidelines to enhance road safety. Methods: This cross-sectional study examined the visual health of a representative sample of 3249 drivers (70% females and 30% males) with a mean age of 41 (SD = 13) years, gathered from all the 17 autonomous communities of Spain. Results: The tests performed allowed to determine that 15% of Spanish drivers have a poor photopic vision, while 38% of them present an inadequate mesopic vision. Further, 23% of drivers have deficiencies in peripheric visual field campimetry, and the average time for full-vision recovery after a 10-s glare was 27 s. Sex, age and driver type (professional vs. non-professional) differences were found for the study variables. Conclusions: The findings of this study support the idea that certain demographic-based population groups of drivers present several unaddressed deficiencies and impairments in visual health. Overall an estimated 29.5% of Spanish drivers present visual issues, that need to be attended in order to enhance the prevention of driving crashes and the road safety of all road users.

This Data in Brief (DiB) article presents the differences in cycling behaviors related to violations, errors, and positive behaviors by region. The study data were collected by means of a structured questionnaire applied to a full sample of 7,001 participants from 19 countries, distributed over 5 continents. This paper proposes descriptive statistics, as well as common statistical tests. The aim is to enable authors to make their own analyses, not to provide precise interpretations. For further information about the macro project supporting the collection of these data, it is advised to refer to the paper titled "Cross-culturally approaching the cycling behavior questionnaire (CBQ): Evidence from 19 countries", published in Transportation Research Part F: Traffic Psychology and Behavior.

Background/aim: The increasing integration of digital technology into daily life has introduced new challenges for road safety, particularly for groups of interest, such as motorcycle commuters. This study examines individual, road safety-related, and psychosocial work factors as predictors of technology-induced distractions among motorcyclists. Method: Using a sample of 736 Powered Two-Wheeler (PTW) commuters, gender-specific pathways of digital distractions were analyzed through Structural Equation Modeling (SEM) and Multi-Group Structural Equation Modeling (MGSEM). Results: The results suggest that younger riders, those with higher sensation-seeking tendencies, and those involved in other risk-related behaviors outside the technological sphere report higher levels of distraction. Work-related stress, particularly job strain, was a strong predictor of digital distractions, while a better work-life balance served as a mitigating factor. Regarding gender differences, sensation seeking and risk perception played a significant role among males, whereas commuting trip length was a stronger predictor of distractions for female riders. Conclusions: These findings highlight the need for gender-sensitive interventions to reduce technological distractions, considering both individual and work-related factors.