2024 年 15 巻 p. 3103-3118
Predominance of jaywalking, heterogeneous traffic condition and mobile phone-induced distractions make pedestrians highly vulnerable to road crashes. Using the Bayesian Belief Network (BBN), this study investigated different predictors associated with jaywalking and mobile phone-induced pedestrian safety hazards at highway intersections in Bangladesh. An interactive framework comprised of a questionnaire and observation study was employed at 32 intersections on national and regional highways. Furthermore, the Chi-square test was used to investigate the relationship between jaywalkers' socioeconomic attributes and risk perception. The study's findings show that gender, jaywalker activities, types of jaywalking, waiting time, and frequency of phone use while jaywalking had the most impact on any jaywalker's risk assessment. Less waiting time at each intersection discourages pedestrians from using their phones and maintains a high-risk perception. Additionally, the driving experience of any age group can increase risk perception. Moreover, women feel more confident crossing the street when they are accompanied.