Big Data | public transit | Smart Cities | Transportation
After nearly 6 years at StreetLight Data, my transportation nerdiness is firmly cemented. Every time I take a trip, I research the various modes of transportation available to reach my destination, then carefully plan my itinerary. Frankly, I enjoy the challenge of combining modes in the most efficient way possible. Trip-planning smartphone apps like GoogleMaps are simplifying this process for non-transportation nerds, too. For me, the most efficient mode of travel generally means the fastest, but carbon emissions contributions and cost are always important considerations as well.
My personal multimodal challenge was elevated to a new level on a recent trip that combined business travel for a customer training with personal travel for a family wedding. Not only were these two locations in different states (neither of which I live in), but the wedding was somewhat of a destination, and it was not terribly accessible for visitors from far away. In this article, I’ll use my travel experience to illustrate how today’s journeys can quickly become so multimodal that you might even call them “omnimodal.”
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Big Data | Case Studies | Traffic | Transportation
The smart city movement’s first wave brought tons of stationary sensors to our cities, especially in the context of transportation. These sensors are passively collecting valuable travel pattern information at traffic lights, parking lots, bus stops, sidewalks, and more. But if we want cities that are truly smart – if we want to solve the challenges exposed by our stationary sensors – we have to go beyond them. In this blog post, I will use New York City as a case study to explain why.
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Big Data | Transportation
New York City's Department of Transportation (DOT) unfolded a plan to improve transportation data, which could considerably enhance the ability for NYC drivers to navigate the city safely. Referred to as the Drive Smart pilot program, it collects data directly from individual vehicles, accumulating the most accurate and up-to-date transportation data possible. read more
Transportation
The International Transport Forum Corporate Partnership Board's Workshop entitled “ITF Corporate Partnership Board Workshop: 21st Century Public Interest Data Sharing”, will be held on Nov 9 - 10 2015, at the OECD/IEA Conference Centre in Paris, France.
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Big Data | Transportation
A few weeks ago, we partnered up with INRIX for a webinar related to data-drive approaches to transportation demand management.
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Big Data
Here at StreetLight, we're constantly awed by the sheer magnitude of the Big Data Mobile Analytics that we do. We just passed the mark of processing trips representing nearly 50 billion vehicle miles traveled (VMT). This data comes from devices like connected cars, smart phones and commercial fleet management systems.
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Transportation
In a webinar on September 22nd, StreetLight Data and partner INRIX will explain how to apply Big Data to Transportation Demand Management to help with faster, more informed decision making and planning
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Big Data
StreetLight's CEO, Laura Schewel, recently spoke at two events on how big data analytics was helping to change the retail industry. The International Council of Shopping Centers event was held on August 6th and Laura focused on the best and worst ways to use Big Data in shopping centers. Our partner, Forum Analytics, held their customer summit on August 10th - 12th, where Laura spoke on ways organizations can utilize Big Data in retail. read more
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Smart Cities | Transportation
When you drive to the grocery store do you consider the effects it has on our environment?
At a TedXTalk in Sacramento on Saturday March 7, 2015 our CEO, Laura Schewel, advocated for the smart use of Big Data to transform how we drive and move forward in green transportation.
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Mobile
StreetLight's CEO, Laura Schewel, spoke at the International Council of Shopping Centers on August 6th to share her knowledge on Big Data's effects on shopping centers. She discussed the best and worst ways to use Massive Mobile Analytics. StreetLight also shared how they've used these analytics to determine behavioral trends across the nation.
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