Today, 77% of Americans own smartphones. We all know how useful these devices are for keeping up to date with family, friends, and happenings all over the globe. Many of us are even aware as to how they have changed consumer behavior, providing options which are often even more convenient and affordable than a trip the the store.
As we use these devices to tweet, post, comment, and share our experiences, especially about cities and services, we provide a great datastream parking teams can collect and analyze in real time.
New York City recently piloted a program targeting the food industry. 'Yelp!' reviews mentioning words like 'sick, vomit, dirty, etc. were collected and analyzed. Immediately the NY DoH identified 16 complaints originating from 3 restaurants. Inspections uncovered several serious health code violations at each location.
So how does this translate over to parking and transportation? For starters, it can help identify concerns relating to public transit costs, availability, and quality which can help teams more effectively plan new routes and system upgrades. The information could also be useful in determining where to make new parking resources available, based on people sharing where they're having trouble finding parking during events. It's not even a stretch to consider that parking software systems may find a way to integrate the data into it's formula for determining variable pricing parking rates.
As technology continues to change, and we can be sure it will, what other uses can we expect to find for the information it provides?
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