San Diego is the eighth-largest U.S. city and metropolitan center of the San Diego region. The City of San Diego recognizes that there are several active modes of available transportation (i.e. pedestrians, bicycle, scooter) that are non-polluting, energy-efficient and versatile. San Diego is in a unique position to capitalize on enhancing these modes of active transportation due to our temperate climate, grid-based street network in the urban core, parks and trails. Currently urban planners in the region do not have adequate tools to determine the availability, viability and accessibility of existing and/or future bike lanes, bicycle/scooter sharing locations.
Economic Development and Transportation and Storm Water Departments seek a software solution that would incorporate the following outcomes:
- Utilize machine learning, data analysis, and other capabilities from City IQ nodes to differentiate, track, and count separate modes of active transportation modalities (i.e. pedestrians, bicycle, scooter).
- Counts should be able to be grouped into various geographies (community boundaries, corridors, networks, etc.), organized by various temporal categories (time of day, weekday/weekend/month/year, etc.)
- Develop data for purposes of mode share reporting and trend changes over time with facility development as it relates to transportation planning and the City’s Climate Action Plan (CAP) analysis.