VIRTUAL London.

Abstract

In the pursuit of enhancing non-motorized transport and mitigating CO2 emissions, the current construction of cycling measures often falls short of expectations. City leaders are grappling with the challenge of reducing carbon footprints in urban areas, recognizing the pivotal role of increasing the appeal of cycling. However, the construction of cycle paths poses significant challenges, requiring political courage and facing uncertainties. This abstract presents a novel method for identifying critical points in cycling infrastructure based on big data analytics, offering a solution to bolster the city’s resilience in the face of the climate crisis. The proposed method is both simple and targeted, utilizing extensive data to foster participatory urbanism. Voluntary geographic information directly influences infrastructure planning, empowering cyclists to actively contribute to the improvement of their city’s cycling network. Implementing this method provides the city with a powerful analytical tool, offering insights into key areas that demand attention for sustainable urban planning. The ensuing measures derived from this analysis promise a direct impact on the creation of a continuously safe cycling infrastructure, ultimately elevating its appeal for residents across diverse age and ability groups. This innovative approach not only addresses the immediate concerns of city leaders but also aligns with the broader goals of fostering environmentally conscious, safe, and attractive urban environments for all.