A Data-Driven Framework for Sustainability and Ergonomic Design of Urban Cycling Networks in the Métropole Européenne de Lille

Sustainable urban mobility is gaining importance as cities seek to address congestion and environmental concerns, with cycling infrastructure being an essential component of urban transportation systems. This study proposes a novel integrated, data-driven modeling framework that uniquely combines sustainability and ergonomic design to evaluate and optimize urban cycling networks. A computational model incorporating graph-based analysis, isochrone mapping, and network discontinuity identification was used to assess cycling safety and accessibility within MEL. The findings highlight significant accessibility shortcomings caused by network discontinuities, unsafe segments, and missing links—issues frequently overlooked in conventional cycling network planning. Key employment centers in MEL were found to have limited cycling access, highlighting the need for cross-regional connectivity. The study suggests that targeted micro-interventions and improved connectivity can improve the sustainability and ergonomics of urban cycling networks. The methodological framework developed is scalable and adaptable, making it applicable to other metropolitan regions. This study offers actionable insights for urban planners, advocating for data-driven decision-making and micro-scale network improvements to create a more connected, efficient, and inclusive cycling network.