Guali Qicai Future Community (Xiaoshan District)
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.
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Zhejiang's Future Community policy mandates nine service scenarios on paper; Guali Qicai is one you can visit — a converted bus depot with roughly 7,000 residents under a SenseTime digital-twin dashboard.
what does this mean?
The strongest source is press reporting; no primary evaluation was located. It grades who did the looking — not how well the project went. All four grades →Part of 1001 Smart Cities — 1,167 documented projects · 🏙️ 10 more in Hangzhou · 🏘️ Smart districts guide · 🏛️ Governance projects
Since 2019, Zhejiang's provincial "Future Community" policy has funded neighbourhood retrofits across nine service areas. Its clearest built example is Guali Qicai in Hangzhou's Xiaoshan district: a converted bus depot anchors housing for roughly 7,000 residents, monitored through a SenseTime digital-twin dashboard tracking parking, air quality and fire-lane blockages, plus a blockchain resident ID and elderly health-monitoring smartwatches.
📊 Impact
Zone A opened with about 7,000 residents, planned to grow toward roughly 20,000 once all three zones are built. Citywide, Hangzhou had completed 62 of about 300 designated Future Community pilots by August 2023, with a self-reported 96%+ resident-approval rating covering close to 3 million residents.
🎓 Lesson
A province can mandate nine service scenarios on paper; only a handful of pilots — anchored to a real bus depot and a named tech vendor, not just a policy document — turn the framework into a place anyone can actually visit.
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📎 Cite this project
1001 Smart Cities (2026). “Guali Qicai Future Community (Xiaoshan District)” — Hangzhou, China. The Smart City Atlas. https://1001smartcities.org/projects/hangzhou-future-community/ (last verified 2026-08-03). Data: CC BY 4.0.
The underlying data is free to reuse with attribution — see the open data page.