Cycling offers environmental benefits but also safety risks when interacting with motorized vehicles. Understanding both aspects is crucial for promoting sustainable transport. The Analytic Hierarchy Process (AHP) is a decision-making methodology that blends mathematical analysis with psychological insights, enabling structured evaluation and prioritization of factors influencing cycling preferences and infrastructure development, using pairwise comparisons and weighted criteria to inform informed decision-making. 48 clean samples out of 62 cyclists’ responses in Noida were analyzed, providing significant data to assess cycle track usability, safety, and quality through a comprehensive questionnaire covering various elements for potential improvements. The CSIR-CRRI trip generation manual study data for Indian cities (2020–2023) examines household travel behavior. It includes insights on trip rates by household size, purpose, age, and gender, highlighting diverse transportation preferences and emphasizing the importance of tailored infrastructure for sustainable mobility. The analysis provides ratings for cycle lane infrastructure and user experience across trip characteristics, emphasizing challenges in managing encroachments and safety concerns. Safety and infrastructure quality perceptions vary based on occupation, gender, and age, indicating the need for tailored interventions to address specific user needs and improve overall cycling conditions. An aggregated analysis of the Analytical Hierarchy Process (AHP) for cycling infrastructure variables reveals the handling of encroachment, safe crossing facility availability, and security as most influential, while continuity has the least impact, highlighting the importance of robustness testing.