SFpark Demand-Responsive Parking

🤖 AI-generated summary of the sources below · 🔎 Last verified

This overview was generated with AI from the public sources listed below and checked against them before publication. It has not had a complete human fact-check — treat it as a starting point and follow the sources.

How this atlas is made · What “last verified” means · What “source-checked” means

San Francisco's SFpark pilot wired 7,000 meters with sensors in 2011 to test prices that rise and fall with demand. The sensors proved too costly to maintain and were retired, but the city kept adjusting rates using meter-payment data instead — a system still running citywide today, cutting the circling for spaces that clogs streets.

Live 📅 since 2011
Evidence🏛️ Official
what does this mean?The strongest source is the operator's or the city's own reporting — an official report, dataset or press release. It grades who did the looking — not how well the project went. All four grades →
Run bySFMTA
Scale🏙️ City-wide

📊 Impact

In the 2011-2013 pilot areas, average time spent searching for parking fell 43% and vehicle-miles/GHG emissions from circling fell 30% versus control neighbourhoods, per SFMTA's 2014 evaluation.

🎓 Lesson

Pricing beats prohibition: demand-responsive rates changed driver behaviour where signs never did — and the approach survived losing its sensors by switching to data the city already had.

Sources

↗ SFMTA — Demand-Responsive Parking Pricing (authority)Current program page: citywide rollout and program history.
↗ SFMTA — SFpark pilot evaluation, 2014 (authority)Source of the 43%/30% pilot-area impact figures.
↗ SFMTA — Citywide meter rate adjustments (authority)Confirms the program is still active with quarterly rate changes as of July 2026.

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Compare this project

The in-ground parking sensor, and what replaced it

Buried bay sensors were the emblem of the smart-city decade. Three of the cities that installed them have since taken them out, and the fourth never put any in — a rare case where the atlas can watch a technology lose.

The in-ground parking sensor, and what replaced it — side-by-side comparison of 4 atlas entries; the "Cost" column honestly shows "not public" where no figure was ever published.
ProjectSinceStatusOutcomeEvidenceRun byCostWhat the city relies on today
SFpark Demand-Responsive ParkingSan Francisco, 🇺🇸 2011 Live Succeeded Official Utility or public operator not public The pilot that made demand-responsive pricing famous retired its sensors as too costly to maintain, and now sets kerb prices from payment data.
SmartPark — CBD In-Ground Parking Sensor NetworkWellington, 🇳🇿 2016 Completed Scaled back Official City government NZ$1.5m to install (2016) The council pulled the whole in-ground network after eight years and went back to simpler pay-by-plate meters.
Fastprk In-Ground Parking SensorsBarcelona, 🇪🇸 2011 Completed Scaled back Independent Private company not public The sensor city's own parking sensors scaled back; what drivers see today is built from what drivers pay, not from the ground.
Riyadh Parking: Priced Curbs & Camera PatrolsRiyadh, 🇸🇦 2024 Live Ongoing Official City government, Private company not public A later scheme skipped the ground entirely: priced bays, an app, and camera cars instead of buried sensors or wardens on foot.

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📎 Cite this project

1001 Smart Cities (2026). “SFpark Demand-Responsive Parking” — San Francisco, United States. The Smart City Atlas. https://1001smartcities.org/projects/sf-sfpark/ (last verified 2026-07-19). Data: CC BY 4.0.

The underlying data is free to reuse with attribution — see the open data page.

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