Pedestrian infrastructure—such as sidewalks, crosswalks, and related features—is essential for ensuring safe, accessible, and walkable urban environments. As cities grow, the quality and availability of this infrastructure play a key role in pedestrian safety, mobility, and overall livability. The Pedestrian Infrastructure Classification model enables the creation of detailed maps of sidewalks, crosswalks, and road networks to support urban planning and development.

These classifications can be used to build pedestrian networks that power applications like pedestrian routing, flow analysis, and planning for step-free access or Vision Zero initiatives. Urban planners can leverage the model to identify hazardous areas, improve accessibility for vulnerable populations (e.g., the elderly and disabled), and enhance urban safety. The model also supports smarter public transport planning and helps reduce carbon emissions.

As cities increasingly prioritize walkability to address challenges like climate change, public health, and economic resilience, this deep learning model provides a scalable, cost-effective tool for driving inclusive, sustainable urban development.