AI Bike Mapping and Wayfinding Services

The Vendor is required to provide a countywide bike map (print and digital) and bicycling wayfinding plan.
- The project “trains” artificial intelligence (AI) using data from website to consistently rank routes based on human input about levels of bicycling comfort.
- The consultant will produce an easily updated, user friendly bike map and a regional wayfinding plan that adapts to AI findings.
- The Consultant shall convert the AI-generated comfort-scored network into a standardized Connected Routes GIS dataset and produce a consolidated, cartographically designed bike map for print using this dataset (Countywide Bike Map). The Consultant shall prepare a Methodology Design document that clearly describes the software, data processing steps, and programming workflows used to develop the Connected Routes GIS dataset and the Countywide Bike Map, in sufficient detail to support future updates.
- Consultant will be responsible for developing and designing a countywide regional bike map route map using a GIS system compatible with ArcGIS, a printed bike map (with specific sub-areas called out in detail), and a countywide wayfinding plan, which is derived from the AI outputs. 
- GIS deliverables shall be provided in formats compatible with ArcGIS Pro (e.g., file geodatabase, shapefile, or feature class).
- The consultant will develop a Bicycling Wayfinding Plan (Wayfinding Plan) to be presented to the agency board for adoption.
- The Wayfinding Plan shall be designed as an adaptive, updateable system that can evolve as the countywide bike network changes and as new AI-generated comfort data becomes available.
- The Wayfinding Plan will include a design guide, methodology for deployment, map of recommended locations and recommendations related to technology such as digital kiosks at key network entry points.
- This project will enable AI to inform a complete, countywide network of streets and paths using community defined bike comfort categories.
- The Consultant will convert the provided AI-generated comfort-scored network into an ArcGIS compatible dataset (Connected Routes Map in GIS) and a physical print map (Countywide Bike Map) and coordinate an initial small print run of the map (approximately 500 copies).
- Engagement will include community partners representing individuals with disabilities (including visual impairments) and communities with language barriers (Spanish speaking, Mixteco, and potentially Mandarin speaking populations) to ensure that the physical print maps are accessible to all users.
- The Consultant will conduct multiple phases of stakeholder engagement to inform a universal wayfinding design and implementation plan.