StreetLight analyzed the 100 most populous metro areas from the 2018 U.S. Census list of core-based statistical areas (CBSAs). We scored the cities individually, per capita, by four StreetLight-derived factors: Vehicle miles traveled (VMT), bike commuting, pedestrian commuting, and circuity. We added two factors: density, calculated by dividing geographic area by population, and transit ridership, ranked according to the American Public Transportation Association’s per-capita ridership ratings.
StreetLight analyzes trips derived from location-based services (LBS) data, processed by our proprietary algorithm. Results were indexed values, not actual measurements, because StreetLight does not capture 100% of a city’s movements. Overall rankings were derived using each individual factor’s value scaled from 0 to a factor’s weight. A higher ranking indicates a better score, with a lower ranking indicating a worse score, relative to other cities.
We weighted factors as follows:
About StreetLight Data
StreetLight Data pioneered the use of Big Data analytics to help transportation professionals solve their biggest problems. Applying proprietary machine-learning algorithms to over four trillion spatial data points, StreetLight measures diverse travel patterns and makes them available on-demand via the world’s first SaaS platform for mobility, StreetLight InSight®. From identifying sources of congestion to optimizing new infrastructure to planning for autonomous vehicles, StreetLight powers more than 3,000 projects every month.