Sample size is not a simple concept when it comes to Massive Mobile Data Analytics - see our prior blog post for some examples. In this post, we're analyzing our commercial vehicle data’s sample size in California based on a Daily Trip Sample Ratio. The results are that our archival data captures ~11.8% of commercial vehicle trips that took place in California in 2015.
In the transportation industry, we love to debate the optimal sample size for data collection. But this deceptively simple concept can be tricky.
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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. >Learn more<
With such big advancements in available technology, it’s becoming easier to measure how people and vehicles move around the world. But, what exactly is the data you’re gathering and what should you do with it?
451 Research profiled StreetLight Data for an "impact" report. A summary can be found here. Subscribers to 451 can get the full report as well. Says Rich Karpinski:
When thinking about store trade areas, 16 years is a long time. I found this chestnut - Retail Trade Area Analysis: Concepts and New Aproaches - in Directions Magazine, from that many years ago. To understand where things were at then and how far they how they have come, a little history is in order.