Introduction. Technological advancements have the potential to enhance people’s quality of life, but their misuse can have a detrimental impact on safety. A notable example is the escalating issue of distracted driving resulting from the use of mobile phones behind the wheel, leading to severe crashes and injuries. Despite these concerns, both drivers’ usage patterns and their risk-related associations remain scarcely documented in Mexico. Therefore, this descriptive study aimed to examine the mobile phone usage of Mexican drivers, its relationships to risk awareness and near-miss/crash involvement, and the self-reported underlying reasons for this behavior. Methods. This cross-sectional study utilized a sample of 1,353 licensed Mexican drivers who took part in a nationwide series of interviews regarding their onboard phone use settings. Results. A significant percentage of drivers (96.8%) recognize using a mobile phone while driving as high-risk behavior. However, only 7.4% reported completely avoiding its use while driving, with 22.4% identified as high-frequency users. Frequency was also found positively associated with the self-reported rate of near-misses and crashes. Furthermore, qualitative data analysis highlights the emergence of a ‘sense of urgency’ to attend to phone-related tasks in response to daily demands and life dynamics, offering a potential explanation for this behavior. Conclusion. The results of this study suggest common patterns of onboard mobile use among Mexican drivers concerning driving situations and associated risks. This underscores the need for increased efforts to discourage onboard phone use in the country.

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Introduction: Research on pedestrians’ behavior and safety in low and middle-income countries (LMICs) is scarce, compared to high-income economies. This study aimed to present the validation of the Walking Behavior Questionnaire (WBQ), which has not been tested before in the Dominican Republic, and to evaluate age differences in walking-related self-reported behaviors. Methods: For this study, a nationwide sample of 1026 pedestrians answered a questionnaire on risky and safe walking behaviors. Psychometric properties of the WBQ, variable correlations and age-based differences in walking were tested. Results: Overall, the WBQ presented an adequate structure, goodness-of-fit indexes, and high reliability. Significant correlations between walking-related variables and demographic factors, as well as key differences in walking behaviors among young people, adults, and aging adults were found. Conclusions: These results provide a strong background for assessing walking behaviors through the WBQ (for the first time in an LMIC), as -apart from presenting fair psychometric properties-it highlights the existence of walking pattern-related and demographic differences in the risky behaviors performed by pedestrians. Implications: In practical settings, this is the first large-scale behavioral questionnaire-based research on pedestrian safety conducted in the Dominican Republic, whose outcomes support the value of implementing effective evidence-based policies and educational interventions that consider age-related specificities for strengthening both healthier and safer walking. Furthermore, these implications may be applied in other countries of the region or with similar socio-economic features.@en

The increasing number of registered road crashes involving cyclists during the last decade and the high proportion of road crashes resulting in severe injuries and fatalities among cyclists constitutes a global issue for community health, urban development and sustainability. Nowadays, the incidence of many risk factors for road crashes of cyclists remains largely unexplained. Given the importance of this issue, the present study has been conducted with the aim of determining relationships between infrastructural, human factors and safety outcomes of cyclists. Objectives: This study aimed, first, to examine the relationship between key infrastructural and human factors present in cycling, bicycle-user characteristics and their self-reported experience with road crashes. And second, to determine whether a set of key infrastructural and human factors may predict their self-reported road crashes. Methods: For this cross-sectional study, a total of 1064 cyclists (38.8% women, 61.2% men; M = 32.8 years of age) from 20 different countries across Europe, South America and North America, participated in an online survey composed of four sections: demographic data and cycling-related factors, human factors, perceptions on infrastructural factors and road crashes suffered. Results: The results of this study showed significant associations between human factors, infrastructural conditions and self-reported road crashes. Also, a logistic regression model found that self-reported road crashes of cyclists could be predicted through variables such as age, riding intensity, risky behaviours and problematic user/infrastructure interactions. Conclusions: The results of this study suggest that self-reported road crashes of cyclists are influenced by features related to the user and their interaction with infrastructural characteristics of the road.@en