Blog Feature

Big Data | Corridor Studies | Location-Based Services | Transportation | Uncategorized

The Best I-95 Rest Stops (According to Big Data)

July 27, 2018

Now that we’re in the full swing of summer here on the East Coast, my friends and family have been taking road trips along I-95 – and for better or for worse, rest stops are an inevitable part of those trips. A few weekends ago, my parents’ car broke down on their way back home from New York, but fortunately they were able to make it to a rest stop. As my mom texted me from the rest stop parking lot, waiting for a tow truck at 11pm, I started to wonder: How many other people were at rest stops at such a late hour? Who else might be there with my parents? Was this rest stop typically a busy one?

It wasn’t long before I realized that, as a StreetLight Data employee, I had the answers at my fingertips – it was just a matter of running a study with StreetLight InSight®, our on-demand transportation analytics platform. In this post, I’ll show you what I found out and share a few tips to help you plan your own road trip this summer.

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Blog Feature

Big Data | Location-Based Services | Smart Cities | Transportation

4 Big Data Trends in Transportation to Watch in 2018

January 18, 2018

It’s no longer news that Big Data is a big topic in transportation. Many people in our industry have been exploring how to use Big Data for years. But the technology landscape is evolving quickly, and in ways that may drive more widespread adoption of this type of data. In this post, I’ll share the four most important trends in Big Data to watch in 2018.

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Blog Feature

Big Data | Location-Based Services | Transportation

Real-World Travel Patterns: Who Works on Labor Day?

September 5, 2017

The Labor Day public holiday celebrates American workers by giving them the day off – or at least, that’s the idea.  Here at StreetLight Data, we wanted to find out how many American workers are still commuting to their jobs on Labor Day. The results were surprising: Only about ~56% of American workers get the day off nationwide, with some variation in results across different states. In this blog post, we’ll walk you through our analysis of Labor Day travel patterns.

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Blog Feature

Big Data | Location-Based Services | Smart Cities | Software Updates | Transportation | Validation

Introducing StreetLight Volume: 2016 AADT Metrics

June 6, 2017

After many years of client requests, we’re releasing the first cut of our StreetLight Volume: 2016 AADT Metric on the StreetLight InSight® platform. These beta Metrics provide a very robust estimate of 2016 Annual Average Daily Traffic (AADT) for almost any road in the US. To learn more, keep reading this blog post, or watch our recorded webinar on the new Metrics. Click here to watch the webinar.

We believe this Metric provides estimates that are comparable or better than most of the standard AADT estimation practices for three reasons:

  • They can be obtained in just a few minutes from the cloud-based StreetLight InSight platform,
  • They are built by integrating four sources of data (including both GPS and Location-Based Services data, which is our new and better alternative to “cellular tower” data), and
  • They cost less than half as much as typical AADT data collection and estimation processes.

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Blog Feature

Big Data | Location-Based Services | Transportation

Location-Based Services Data Beats Cellular on Spatial Precision

May 25, 2017

The more I work with StreetLight Data’s location-based services (LBS) data set, the more I realize that it is the data source the transportation industry has been waiting for – and that it deserves. Over the past few months, LBS data has emerged as a resource with all the benefits of cellular data, but without its limitations. LBS data can answer a huge array of travel questions that fill in the long-standing information gaps for the transportation industry, especially when used in combination with navigation-GPS data.

But since it’s so new, there’s very little information available to planners about its value today. We’re working to correct that with a series of blog posts that zero in on a different aspect of LBS data – and this is the first. In this post, I’ll highlight LBS data’s spatial precision.

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