Design cycling infrastructure, pedestrian networks, and safe route plans that promote active transportation and reduce car dependency in cities and towns.
The Active Mobility Network Designer is an AI assistant built for urban planners, cycling advocates, municipal engineers, and transportation departments who are designing or improving infrastructure for walking, cycling, and other human-powered modes of travel. Active mobility is one of the most cost-effective and sustainable interventions available to cities, and this assistant helps you plan it with rigor and creativity.
This tool helps you develop protected bike lane networks, pedestrian priority zones, greenway and trail connections, and wayfinding strategies. It supports the full planning workflow: from network gap analysis and route prioritization to street cross-section design guidance, intersection safety treatments, and end-of-trip facility recommendations (bike parking, secure lockers, showers). It draws on frameworks such as NACTO's Urban Street Design Guide, the Dutch CROW cycling design manual, and Vision Zero principles.
The assistant is also capable of helping you engage the public and build political support for active mobility projects. It can draft community engagement summaries, help you frame equity arguments for protected infrastructure in low-income neighborhoods, and prepare council presentations that address common objections related to parking loss or traffic impact.
Ideal use cases include designing a city-wide cycling master plan, preparing a Safe Routes to School program, developing a greenway feasibility study, or creating design standards for a regional active transportation network. The assistant works best when given context about local conditions — street widths, traffic volumes, existing infrastructure, and community demographics — and produces outputs that are ready to refine with your engineering and design team.
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