---
title: Demand Modeling for Uber Air
description: Learn how Uber Air used StreetLight metrics for modeling demand and locations for Uber Air service terminals in Los Angeles.
---

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# CASE STUDY

## Choosing Locations for Uber Air

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.

### Download the Case Study

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