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Science Quickly

Smarter Pricing Could Ease Parking Frustration

Science Quickly

Scientific American

Science

4.2639 Ratings

🗓️ 26 December 2018

⏱️ 3 minutes

🧾️ Download transcript

Summary

A new algorithm raises parking rates in busy neighborhoods and lowers them elsewhere, guaranteeing free parking spots regardless of location. Christopher Intagliata reports. Learn more about your ad choices. Visit megaphone.fm/adchoices

Transcript

Click on a timestamp to play from that location

0:00.0

Understanding the human body is a team effort. That's where the Yachtel group comes in.

0:05.8

Researchers at Yachtolt have been delving into the secrets of probiotics for 90 years.

0:11.0

Yacold also partners with nature portfolio to advance gut microbiome science through the global grants for gut health, an investigator-led research program.

0:19.6

To learn more about Yachtolt, visit yawcult.co.

0:22.7

.jp.j. That's Y-A-K-U-L-T.C-O.jp. When it comes to a guide for your gut, count on Yacolt.

0:33.6

This is Scientific American's 60-second science. I'm Christopher in Taliatta.

0:39.0

If you drive in a city, you've no doubt experienced the frustration of circling block after block after block cruising for parking.

0:46.8

But scientists who study that phenomenon have a solution to free up more spots.

0:50.8

You make them more expensive, so people have to decide whether to park farther away and pay less

0:57.6

or closer and pay more.

1:00.5

It's Akbenenson, a system scientist at Tel Aviv University.

1:04.5

San Francisco has piloted a program like that that raises parking rates based on demand,

1:09.0

and it's been shown to reduce cruising.

1:11.4

But the sensors required for those systems can cost millions of dollars to install and operate,

1:16.4

Benison says.

1:17.6

So instead, writing an I-Trippily Intelligent Transportation Systems magazine,

1:22.2

he and his colleague, near Fullman, describe an algorithm that can determine smart pricing

1:26.4

without the use of sensors.

1:28.5

They tested it on the Israeli city of Bat Yam, near Tel Aviv. First, they divide the city into zones.

1:34.7

They estimate the parking demand in each zone by calculating the number of apartments and offices there,

1:40.3

and then they factor in parking supply in the area, along with how wealthy potential parkers might be.

1:46.3

With that data, the algorithm suggested pricing for each zone that would guarantee a 90% occupancy rate of parking spots citywide,

...

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