Blog Feature

Big Data | Commercial Trucks | Freight | Traffic

New Ways to Accurately Measure Truck Traffic

May 9, 2019

Coming soon to the blog :  An updated analysis of truck parking trends and needs with transportation experts Fehr & Peers.

Freight-loaded trucks create the most wear and tear on highways and local roads, but what’s the best way to accurately measure truck traffic? Vehicle miles traveled (VMT) is a helpful indicator, but not all regions have the ability to quickly and affordably separate heavy trucks from personal vehicle traffic counts.

That’s where Big Data comes in. Today’s truck-focused data sets using GPS can pinpoint truck metrics including trip origin, destination, route, duration, and stops along the way. Traditional truck measurement methods simply can’t keep up.

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Blog Feature

Big Data | Performance Measurement | Traffic

Is Congestion Pricing Right for Atlanta?

May 6, 2019

From Los Angeles to New York, planners are talking about congestion pricing , and Atlanta is one of the metro areas involved in the discussion. Atlanta is the 3rd fastest-growing metro area in the U.S., and 11th most congested city in the country. “All options need to be on the table to address traffic. It’s a real quality of life issue that I’m committed to solving and will use all means to do that,” Councilman J.P. Matzigheit said on the news recently.

I have a lot of personal interest in this topic because I live and work in Midtown Atlanta. Since I also happen to work for a company that uses Big Data for transportation analytics, I decided to run my own sample study on Atlanta’s congestion. I found some insight on why congestion pricing may make sense for this busy city.

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Blog Feature

Big Data | Electric Vehicles | public transit

Exploring Bike Infrastructure Opportunities in Dallas

April 25, 2019

With the right support and infrastructure, bikes can extend access to and from other modes like transit, serving an important last-mile connection. In fact, as transit ridership drops in the U.S., boosting bike infrastructure may help reverse that trend. A recent study by researchers at the University of Kentucky found the introduction of bike share increases rail ridership.

Bike riding is not only a healthy and affordable method of transportation, it’s also an important mode to link with public transit and extend mobility options. But bike-riding numbers in the U.S. are still quite low.

Dallas is one city that recently took a closer look at the bike-rail transit connection, with an eye to identifying where bike infrastructure could be improved.

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Blog Feature

Big Data | Electric Vehicles | public transit

How Big Data Can Help Combat Climate Change

April 22, 2019

Earth Day invites us to reflect on our responsibilities on this planet, and the role(s) that individuals and businesses can play to help confront one of the greatest challenges of our time -- climate change. At StreetLight Data, we know that Big Data can immeasurably enhance planning and policy for managing transportation-related greenhouse gas (GHG) emissions. In fact, it is baked right into our company mission, “to help reduce greenhouse gas emissions and petroleum use in vehicles, especially by reducing miles driven through the pioneering use of massive mobile data analytics.”

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Blog Feature

Big Data

Need Ride-Hailing Services Intel? Big Data Has That.

April 10, 2019

The ride-hailing revolution launched by Uber and Lyft has expanded to embrace shuttles, autonomous vehicles, and micro-mobility options like scooters and bike share.

As ride-hailing services expand, car ownership is decreasing, putting pressure on original equipment manufacturers (OEM) in the automotive industry. Many transportation and mobility companies are working with us to explore business options in this emerging industry.

Planning a ride-hailing business requires researching the target market to understand the best mobility options with strong business potential, and accurately forecasting revenue. But how can a company do that in a business where no data about core patterns exists outside of a few dominant companies who don’t data share? Big Data to the rescue.

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Blog Feature

Big Data

Thank You to Maine for Thoughts on Big Data Privacy

April 5, 2019

We are proud to have recently been selected by the Maine Turnpike Authority to provide comprehensive transportation analytics to help with planning, policy, and operational improvements for Maine’s transportation system. We think this partnership is big news, and so do Mainers!

Several Maine newspapers, online forums, and television outlets have covered the story. The amount of attention that Mainers give their transportation department is impressive, and we encourage thoughtful writing and dialogue about the intersection of big data, transportation, and privacy.

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Blog Feature

Big Data | Transportation

More Transportation Data Fun with Quadruple the Sample Size!

March 25, 2019

One of the most important metrics for our clients is “sample size” - the number of trips or devices analyzed to deliver a specific analysis within StreetLight InSight®. We’re happy to announce that starting with transportation data from January 2019, we’ve doubled our typical sample size since December 2018, and more than quadrupled it since the same time last year! What that means for our clients is better results, especially for areas with lower trip counts. Here’s why.

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Blog Feature

Big Data | Transportation

Big Data Meets Bike-Ped. Interview with Sean Co.

March 12, 2019

Following the launch of the transportation industry’s first bicycle and pedestrian analytics in January, StreetLight Data welcomed seasoned planner and avid cyclist Sean Co to help drive industry adoption of our MULTI MODE analytics. Most recently at Strava, Sean has years of transportation planning experience at consulting firms and government agencies. We talked with Sean about his bike racing background, the power of Big Data bike and pedestrian metrics, and what fuels his passion for active transportation.

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Blog Feature

Big Data | Smart Cities | Transportation

How Does Gig Driving Interact with Congestion? A Road-by-road Analysis.

December 13, 2018

Many of our clients are concerned with new modes of travel and how they interact with existing transportation. Comprised of services like Uber and Lyft, “gig driving” for riders and delivery is a persistent concern. And its impact on congestion is hotly debated topic. Some claim it makes congestion better (less parking or less personal car driving), and others claim it makes congestion worse. The biggest challenge to finding the answer is a deep lack of available data about this mode of transportation.

Our team at StreetLight Data suspects that the interaction between gig driving and congestion depends heavily on what we call “context,” i.e. location, existing transit, urban density, land use, time of day, etc. We also believe that gig driving is here to stay and that we can arm policy makers with data to avoid the desire to “undo” what is a mobility mega trend — and instead try to harness and accelerate positive effects on the community and transportation networks

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