To determine where to locate aerial ridesharing hubs in Los Angeles, Uber built a sophisticated transportation planning model. Because the service manages 15 million trips every day, Uber already had extensive ride-sharing transportation data. But it needed multimodal travel insights.
![Uber Elevate](https://learn.streetlightdata.com/hs-fs/hubfs/Case%20Studies/Demand%20Modeling%20for%20Uber%20Air/Uber-Elevate-hd-sq.png?width=285&name=Uber-Elevate-hd-sq.png)
Download our case study to learn:
- What metrics Uber Air used to optimize site locations
- How many trips per day Uber Air predicts for demand, and how many terminals it needs to meet that demand
- What other factors informed potential terminal locations
Learn how Uber used StreetLight to capture nearly 100% of travel on Los Angeles roads.