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Bicycle & pedestrian transportation big data analytics

Active transportation insights at your fingertips

Get validated bicycle and pedestrian activity data to prioritize and fast-track multimodal investments.

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See biking and walking activity in seconds with insights for your entire region across time

Speed up data collection, analysis, and collaboration with instant active transportation metrics.

1
Measure all road users

Analyze empirical bicycle volumes and pedestrian volumes for all trips, from commuting to recreation.

2
Track mode share

See relative biking, walking, and driving activity and track how it changes over time.

3
Improve public and stakeholder communication

Share near-instant active transportation insights to drive projects like bike lanes forward.

Empirical active transportation data helps you win funding and maximize the impact of multimodal projects

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Safety interventions

Overlay biking and walking activity with vehicle speeds and crash data to identify high-risk areas for interventions.

Travel demand modeling

Validate model assumptions with biking and walking trips that represent “all trips” estimates instead of only commuting activity.

Public health and climate monitoring

Track relative travel by mode over time to evaluate the impact of policies that encourage physical activity and lower emissions via biking and walking.

Infrastructure planning

Prioritize road-level infrastructure investments with historical active transportation data combined with vehicle activity.

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Bicycle and pedestrian safety for an equitable city

Read success story
The challenge

The City of Pittsburgh wanted to improve road safety in vulnerable corridors and neighborhoods. They needed to pinpoint where traffic-related crashes were occurring, but they did not have insights into bike and pedestrian travel.

Data-driven solution

Planners used transportation big data analytics, including origin-destination bicycle and pedestrian metrics and average trip distance for all neighborhoods specified.

The team then overlaid bike and pedestrian crash data to see how it compared to bike-ped activity across neighborhoods. Surprisingly, planners found that the most severe crashes occurred in areas with lower bike and pedestrian traffic rather than on the expected high-travel corridors. Real-world travel data ensured effective policy decisions and appropriate distribution of safety improvement funds.

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StreetLight Active Transportation: At a glance

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Average annual daily volume

Access average annual daily volumes by census tract for biking, walking, and driving with unprecedented speed and scale.

Mode share

Evaluate the sustainability of your transportation network with the percentage share of travel by biking, walking, and driving.

Time trends

See annual changes in each mode with automatically calculated and visualized activity trends for the period selected.

Normalized volume metrics

Effectively compare activity across areas with volume per person or volume per square mile.

Historical segment-level active transportation volumes

Add on historical bicycle and pedestrian volume metrics for specific roadways and intersections to zoom in on hot spots.

Check out other StreetLight products

Access our full suite of tools and visualizations to solve all your most pressing transportation planning challenges.

Traffic Volumes

Accelerate your infrastructure projects with trusted quality traffic counts that are available for all roads in just a few clicks.

Learn more
Safety Planning

Pinpoint the most high-risk locations across your entire multimodal network.

Learn more
Intersection Studies

Streamline your region’s traffic flow and signal timing with recent every-intersection traffic counts.

Learn more
Transportation Modeling

Power your transportation models with the most up-to-date and trusted route choice data, including traffic volumes, available in minutes and at scale

Learn more
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Our customers

See why they chose StreetLight

We no longer have to make assumptions about people’s trip activity and travel behaviors. Now we have data to support our research, and it separates fact from fiction.
Panini Chowdhury
Transportation Planning Manager, City of Pittsburgh
The scale we were analyzing didn’t lend itself to traditional techniques. The customization that is possible and the ability to take a deep dive into various subsets of the market really made StreetLight reveal itself as a fantastic resource available to us to help solve these questions.
Matt Horton
Planner, Kimley-Horn
Traditional data informs peak hours and key streets only – but cities run around the clock on all streets. StreetLight provides highly accurate 24/7/365 data to understand mobility patterns anytime, anywhere in the city.
Dewan Karim
Former Senior Transportation Planner City of Toronto
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FAQs

Quick answers to questions you may have

Discover everything about StreetLight’s Active Transportation features, benefits, and more.

What is big data analytics for bicycle and pedestrian transportation?

Big data analytics for bicycle and pedestrian transportation planning uses data collected from connected devices to provide information on how bikes, pedestrians, and vehicles move. Unlike traditional data collection methods like sensors and surveys, big data analytics can provide data for any census tract within minutes, leveraging large sample sizes to generate more reliable insights.

It also allows planners to view historical trends across time and compare travel behavior of bikes, pedestrians, and vehicles year over year.

What are the key benefits of using big data analytics for active transportation planning?

Using big data analytics for active transportation planning allows agencies, firms, advocacy groups, and businesses to access the latest data on bike, pedestrian, and vehicle activity within minutes to quickly understand safety concerns (such as high-speed vehicle activity), track trends in active transportation use, and more. These insights can be essential for understanding the effectiveness of mode-shift policies and planning future projects that prioritize cycling and walking while also helping communicate clearly with public and political stakeholders.

Does StreetLight offer data to help understand mode share?

Yes, agencies can track mode share and see how much relative biking, walking, and driving is occurring and how it changes over time. You can also measure annual changes in each mode with automatically calculated and visualized activity trends, which is critical for evaluating the sustainability of your transportation network.

How long does it take to get active transportation data from the platform?

Customers can see the impact of biking and walking activity in seconds with insights for your entire region across time. The dashboard visualization allows for a quick way to view average annual daily volume, mode share, time trends, and normalized volume metrics for Census Tracts across the U.S. in a few clicks.

Do you need data to inform your next project?

Talk to StreetLight about your needs, and join us in shaping a more efficient, sustainable world.

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