CASE STUDY
CASE STUDY
Delivering Boston’s Ride-Hailing Metrics
Seeking to shed light on congestion causes, the Globe wanted granular detail for traffic contributed by vehicles driving for on-demand services such as Uber, Lyft, UberEats, DoorDash, and GrubHub.
Learn how StreetLight’s analysis confirmed that ride-hailing vehicles contribute substantially to congestion:
- Data covered virtually every Boston roadway.
- Granular metrics studied travel along specific roads, by time of day.
- Analysis showed ride-hailing and delivery travel comprised up to 20% of congestion.
Download now to learn more about identifying ride-hailing and delivery travel.
Download the Case Study
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Copyright © StreetLight Data, Inc. All rights reserved. Website Privacy Policy | Open Source