A few weeks ago, one of my best friends from graduate school moved to Colorado to work for my old employer, Rocky Mountain Institute. It’s a nonprofit research and educational foundation dedicated to efficient and sustainable use of resources. The downside – from my perspective – is that he and his equally awesome wife moved to Boulder, CO for this job. The upside – from his perspective – is that now he can go skiing every weekend. The question is: where should he go skiing?
External trip estimation is one of the most important measures for planning departments across the country. Like all kinds of travel, external trips cause wear and tear on local roads and contribute to traffic jams. But unlike your local residents, drivers simply passing through your community don’t contribute to your local economy. They’re not stopping to eat or shop. In this blog post, we've identified 10 ways that these trips can impact transportation planning in your community.
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Ever since we launched StreetLight InSight, our transportation clients have asked about scaling the StreetLight Trip Index to estimate actual vehicle trip counts. Our recommendation has always been to do this manually using trusted local calibration data. In yesterday’s StreetLight InSight update, we transformed that manual process into an automated one with our new, BETA calibration feature.
This means that if you have average daily travel data that you trust for roads that are nearby (or even within) your project, you can enter that information directly into StreetLight InSight and automatically scale Metrics to estimated counts.
When I realized that 70% of our team would be traveling somewhere besides their own home on Thanksgiving Day this year, I found myself wondering: “Is this typical?” So, to find out just how dramatically Americans’ travel patterns change during holidays, we analyzed nearly 300 million personal trips that took place in the US from September 2015 to December 2015. We used our algorithmic data processing engine, RouteScience® and navigational GPS data from our partner INRIX to drill down on the volume and length of trips that occurred on holidays as compared to trips on more typical days. Keep reading to find out what we learned.
In this post, we explore using Big Data for detour planning using StreetLight InSight®, our easy-to-use web application for transforming Big Data from mobile devices into transportation Metrics. We analyzed the Race Street Bridge in Lehigh Valley, Pennsylvania because that region’s planning commission intends to spend nearly $183 million USD upgrading 30+ bridges in the next four years – including this one. Because of the FAST Act, communities like Lehigh Valley can now more easily tap federal funds for much-needed repairs.
Here at StreetLight Data, we have high standards for data science because it is the backbone of our product and value proposition. Ironically, we also suspect that anyone who holds the job title “Data Scientist” may be overpaid: At its core, good data science comes from good engineering. As one of StreetLight Data’s co-founders and its Chief Technology Officer, I’ll dive into StreetLight Data’s approach to data science in this blog post.