---
title: Were Tourists and Pass-Through Commuters Causing Napa Congestion
description: How Napa pinpointed accurate cause of congestion, saved time and money, and improved bus lines for commuters.
---

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# CASE STUDY

## Napa Valley's Regional Travel Behavior Study

Find out how StreetLight InSight® metrics helped Napa Valley develop a more complete countywide plan.

Napa residents face a common challenge: Congestion. Transportation planners there used Big Data to get an “unprecedented look into travel behavior” that explained their congestion issues. Big Data provided key information about internal and external trips and travel patterns that no other resource could.

![Cut-Through-Traffic-Prevention-Case-Study square](https://learn.streetlightdata.com/hs-fs/hubfs/Case%20Studies/Did%20Cut%20Through%20Measures%20Help%20or%20Hurt/Cut-Through-Traffic-Prevention-Case-Study%20square.jpg?width=285&name=Cut-Through-Traffic-Prevention-Case-Study%20square.jpg)

Download this case study to:

- Learn how *StreetLight InSight* analytics helped reveal both intra-county travel patterns and external trips’ origins
- Find out why using these analytics helped save valuable resources in Napa Valley
- Discover the unexpected true cause of Napa’s congestion

### Download the Case Study

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