---
title: Enhancing Bike and Pedestrian Safety in Pittsburgh
description: To enhance bike and pedestrian safety, the City of Pittsburgh used StreetLight Data’s Origin Destination (OD) Metrics to capture bike and pedestrian trip information. See why high-travel corridors didn’t correlate with crash severity.
image: https://learn.streetlightdata.com/hubfs/Case%20Studies/Bike%20and%20Pedestrian%20Safety%20for%20an%20Equitable%20City%20%28Pittsburgh%29/vision%20zero-case-study-social-v2-01_rename.png
---

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CASE STUDY

# Bike and Pedestrian Safety for an Equitable City

##### The City of Pittsburgh set out to make the city’s 1,300 miles of core city streets safer for pedestrians and bicyclists. To identify vulnerable corridors and neighborhoods, the City of Pittsburgh’s Department of Mobility and Infrastructure (DOMI) wanted to pinpoint where traffic related crashes were occurring. Although the team had existing vehicle data, they lacked bicycle and pedestrian travel data.

##### Analysts used bike and ped transportation analytics overlaid with crash data to help identify the areas most needing safety improvements.

##### In the case study, you’ll learn how they:

- Overlay bicycle and pedestrian high-travel corridors with actual crash data
- Create bicycle miles traveled (BMT) and pedestrian miles traveled (PMT) metrics
- Discover that high-travel corridors do not necessarily correlate with crash severity

##### Get valuable urban safety insights from this detailed real-world analysis so that you and your team can build a safer city.

### Download the Case Study

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![Pittsburgh Case Study Mockup](https://learn.streetlightdata.com/hubfs/Case%20Studies/Bike%20and%20Pedestrian%20Safety%20for%20an%20Equitable%20City%20(Pittsburgh)/New%20LP%20Assets/pittsburgh-case-study-mockup.png)

##### “We no longer have to make assumptions in people’s trip activity and travel behaviors. Now we have data to support our research and it separates fact from fiction.”

![](https://learn.streetlightdata.com/hubfs/Webinars%20and%20Video/Bike%20Infrastructure%20Roundtable/Bike%20Icon.png)

**PANINI CHOWDHURY**

City of Pittsburgh

## Your biggest transportation challenges require better analytics

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Origin-Destination for multiple modes

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Granular, on-demand Metrics segmented by time of day and day of week

![metrics-3](https://learn.streetlightdata.com/hubfs/Icons/metrics-3.svg)

Layer on demographics, trip attributes, and more

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### Bike and Pedestrian Safety for an Equitable City

[Download the Case Study](https://learn.streetlightdata.com/bike-and-pedestrian-safety-pittsburgh#form-section)