ABSTRACT
Pedestrian distraction is one of the important risk factors of road injury. This review summarized the epidemiological characteristics, influencing factors, safety implications, and the published intervention measures. The review found that: a) the prevalence of pedestrian distraction poses a serious threat to pedestrian safety, but most epidemiological studies on pedestrian distraction focus on mobile phone use, and the incidence of pedestrian distraction varied greatly across studies using various research methods and from different countries; b) demographic characteristics, social psychology, and environment are the three main influencing factors of pedestrian distraction; c) distraction differently affected physiology, cognition, motion control, efficiency and behavior of pedestrian's street-crossing to some degrees, threatening the safety of pedestrian; d) engineering interventions and education were the most common interventions to prevent pedestrian distraction currently, but the effectiveness of most measures was not assessed rigorously. In the future, multidisciplinary and systematic epidemiological studies are recommended to design interventions purposely and evaluate the effectiveness of interventions through rigorous designs, providing scientific evidence for reducing pedestrian distraction and improving road safety of pedestrians.
Subject(s)
Humans , Accidents, Traffic/prevention & control , Pedestrians/psychology , Risk Factors , Safety , WalkingABSTRACT
ABSTRACT Objective The aim of this paper is to develop a computer algorithm that analyzes pedestrian behavior at an urban site in Bogota, Colombia, considering that the assessment of pedestrian behavior is a road safety priority. Methods Pedestrians were video-taped as they crossed a selected road. An algorithm was developed in order to record, from these videos, pedestrian and vehicle positions and speeds. This information made possible the identification of hazardous behaviors, which were compared through visual assessments. Results 429 pedestrians crossed the selected road at an average distance of 4.5 meters from vehicles that moved at an average speed of 21 km/h. With a maximum difference of 19 % with respect to visual assessments, the algorithm estimated that 58.5 % pedestrians crossed through non-designated locations; 62.2 % crossed near moving vehicles, and that 41.2 % ran while they were crossing the road. Conclusions Video-based analysis can be used to assess pedestrians' behavior. Future research work should focus on improving both the accuracy and the number of safety parameters of the algorithm.(AU)
RESUMEN Objetivo La medición del comportamiento de peatones es una prioridad de la seguridad vial. Por lo anterior, se desarrolló un algoritmo para analizar el comportamiento de los peatones en una zona urbana de Bogotá, Colombia. Métodos Los peatones fueron filmados mientras cruzaban la calle. Mediante el algoritmo se midieron las posiciones y velocidades de peatones y vehículos en los videos. Se identificaron los comportamientos riesgosos y se compararon visualmente. Resultados 429 peatones cruzaron la vía a una distancia promedio de 4.5 metros de los vehículos (velocidad promedio 21 km/h). El algoritmo estimó, con una diferencia máxima de 19 % con respecto a lo observado, que 58.5 % de los peatones cruzaron por zonas incorrectas, 62.2 % cruzaron cerca de vehículos en movimiento y 41.2 % corrieron al cruzar. Conclusiones El análisis basado en video puede utilizarse para medir el comportamiento de los peatones. Los trabajos sobre el tema que se realicen en el futuro deben enfocarse en mejorar la precisión y los parámetros de seguridad del algoritmo.(AU)