Project R-14408

Predictive Model for Assessing a City's Bikeability Potential (Research)

Promoting cycling enhances sustainable mobility, reduces vehicle dependency, and mitigates emissions in urban and rural areas. This research addresses the need for standardized assessment methods and strategies to boost urban cycling, focusing on bicycle infrastructure and safety. The proposal aims to estimate the percentage of cyclists in the population using statistical data from surveys, existing literature, and modal distribution models. It also incorporates a bicycle simulator to analyze real-world cycling scenarios and their impact on transportation choices. The study examines cycling facility characteristics, safety measures, and user-infrastructure interactions to gauge the subjective feeling of safety compared to an objective benchmark. Specific infrastructural measures' positive impact on cycling will be quantified. This research offers valuable insights for promoting sustainable transportation and improving cycling infrastructure. It contributes to creating bike-friendly cities and encourages sustainable mobility practices for environmental and community benefits. The methodology involves surveys, data analysis, and simulation modeling to evaluate infrastructure features influencing cycling adoption comprehensively. Empirical evidence from simulated scenarios will inform a guided cycling infrastructure improvement strategy.

19 December 2023 - 30 June 2026