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Pedestrian safety is a critical concern in urban areas, particularly at uncontrolled crosswalks where pedestrians face unique challenges. This thesis aims to analyse pedestrian behaviour at uncontrolled crosswalks and develop strategies to improve pedestrian safety. By examining various factors that influence pedestrian crossing behaviour and assessing safety conditions, this research seeks to contribute to a better understanding of pedestrian behaviour and provide recommendations for enhanced pedestrian safety measure. A mixed-methods approach was employed for data collection and analysis. Videographic data was collected at selected uncontrolled crosswalks, capturing pedestrian movements and interactions with vehicles. The Post Encroachment Time is used as a safety assessment metric, measuring the time difference between the pedestrian leaving the potential conflict point and the vehicle reaching the same point. Pedestrian surveys and observations were also conducted to gather information on pedestrian demographics. The analysis of pedestrian behaviour data yielded valuable insights into the factors influencing pedestrian crossing behaviour. Traffic conditions, such as vehicle speed and volume, is found to significantly impact pedestrian decision-making. Pedestrian demographics, including age, gender, and physical capabilities, also influenced crossing behaviour. The assessment of safety conditions using PET revealed the level of risk associated with each crosswalk. Based on the findings, several recommendations are proposed to improve pedestrian safety at uncontrolled crosswalks. One key recommendation is to incorporate behaviour-based design strategies into the planning and design of crosswalks. This involves creating intuitive and predictable infrastructure that encourages safe pedestrian behaviour. |
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