The way Google predicts parking difficulty could make it easier to develop "smart city" applications in the future.

Earlier in February, "Google quietly launched a new parking feature for Google Maps on Android across 25 major US cities," according to Yitaek Hwang. "If you are in these metro areas, you will now see a red parking sign that indicates limited parking availability to help you plan your trip."
Hwang describes the machine learning process that Google used to determine parking difficulty before offering two lessons gleaned from Google's new parking predictor:
First, not all smart city applications require sensors. Sometimes the data is already available, and we don’t have to resort to adding new sensors to gather that information.
Second, even though neural networks are popular and accurate, sometimes simpler algorithms can fit the need just as well.
FULL STORY: Using Machine Learning to Predict Parking Difficulty

National Parks Layoffs Will Cause Communities to Lose Billions
Thousands of essential park workers were laid off this week, just before the busy spring break season.

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A master-planned community north of Houston offers lessons on green infrastructure and resilient design, but falls short of its founder’s lofty affordability and walkability goals.

Delivering for America Plan Will Downgrade Mail Service in at Least 49.5 Percent of Zip Codes
Republican and Democrat lawmakers criticize the plan for its disproportionate negative impact on rural communities.

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Balancing Bombs and Butterflies: How the National Guard Protects a Rare Species
The National Guard at Fort Indiantown Gap uses GIS technology and land management strategies to balance military training with conservation efforts, ensuring the survival of the rare eastern regal fritillary butterfly.
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