Understanding pedestrian behavior and its interaction with transportation infrastructure is crucial for ensuring safe and efficient urban environments. This study presents a comprehensive analysis of delay measurement techniques and their correlation with pedestrian behavior within the context of urban mobility systems. The study begins by reviewing existing literature on delay measurement methodologies, encompassing traditional approaches and emerging technologies such as GPS tracking and computer vision. It identifies key metrics for delay measurement, including travel time, waiting time at intersections, and overall journey delay. Furthermore, the study examines various factors influencing pedestrian behavior, ranging from individual characteristics such as age and gender to environmental factors such as weather conditions and built environment features. It explores how these factors impact pedestrian movement patterns, decision-making processes, and overall travel experience. The analysis integrates delay measurement techniques with observations of pedestrian behavior to identify correlations and causal relationships. It investigates how variations in delay affect pedestrian choices, such as route selection, crossing behavior, and mode of transportation. Additionally, it explores the role of infrastructure design and traffic management strategies in mitigating delays and enhancing pedestrian safety and satisfaction. The findings of this study contribute to the development of effective urban planning and transportation policies aimed at improving pedestrian mobility and enhancing the overall quality of urban life. By integrating delay measurement with insights into pedestrian behavior, policymakers and urban planners can design more pedestrian-friendly environments and optimize transportation systems to better serve the needs of all road users.