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Curbs API

The future of mobility starts at the curb

Project Date
2017-2018
Organization
Coord
Role
Design Lead
Project Team
Jacob Baskin, Neha Rathi, Dan Yehuda, Chris Ng, Adam Feldman, Corinna Li, Simon Lim, Adam Dehovitz

Curbs are the nexus of mobility in cities, but information about the rules that govern them is difficult to obtain. Coord's Curbs API allows developers to easily understand how any stretch of curb can be used for over 200K curbs in Los Angeles, New York City, San Francisco, and Seattle.

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.

Other cities have launched programs to digitize their public street inventory, but this is typically a very costly endeavor. This is why Coord embarked on exploring more efficient ways to digitize city curbs. Our Curbs API makes this information widely available for multiple cities in a standard format, allowing software developers to easily integrate it into their applications.


Data Collection Process

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.


Data Parsing

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


Curbs API Documentation

Good API documentation enables developers to quickly understand and test various API methods and their parameters.

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

To demonstrate what’s possible with Coord's data, we conceptualized and built a web app called Curb Explorer.

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.


Map design

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.