Over the past few years, the humble curb has become one of the most hotly contested pieces of real estate in cities. In addition to long-standing demand from private cars, taxis, buses, trams and delivery trucks, now ride-hail services, bike lanes, bike-share stations, car-shares, scooters and e-bikes are also competing for use of this precious piece of concrete between the street and the sidewalk.
This increased demand often translates into congestion at the curb, which can have rippling effects on traffic flow and safety. Cities such as Washington, D.C. and San Francisco have begun looking for ways to better manage their curbs by designating select blocks for passenger vehicle pick-ups and drop-offs.
Combining Tango augmented reality & computer-assisted processing, we built an Android app prototype that dramatically sped up surveying the curb features that dictate how a curb can be used.
We tested the app with internal and external users throughout development, aiming to cut survey time to 5-6 minutes per curb.
An MVP management UI let us assign groups of surveyors to subsets of a city's curbs, track their progress, and clean up incongruencies in the data.
We also built an MVP internal tool for transcribing parking sign photos by mechanical turks.
Location data of the physical assets at the curb, combined with the transcribed parking signs, were parsed by our engineering team into the relevant rules, translated into linear curb segments
As design lead, I helped with landscape analysis of developer documentation best practices, vetted documentation platforms, and tested comprehension and usability with users.
Curb Explorer displays data from the Curbs API in a filterable, color-coded map. Users can select options for vehicle type and anticipated use of the curb, such as picking up passengers or dropping off goods, to see what rules prevail at different times of day.
As design lead on the project, I facilitated interaction design of the UI, map and data styling, and user testing.
Using Mapbox Studio and the Curbs API, I explored stylization options for the curb regulation data at scale, including color blindness testing various color schemes.