Wellington Digital Twin

🤖 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

Built on the Unreal game engine, Wellington's 'Our Changing City' digital twin lets residents explore past, present and projected floods, landslides and sea-level rise through GIS, aerial and 3D building data. The council built it out with a US$1M grant after winning Bloomberg Philanthropies' 2021 Global Mayors Challenge in January 2022.

Live 📅 since 2022
Evidence🏛️ Officialgrades the sourcing — this entry states no impact figure
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 →
Scale🏙️ City-wide
FundingBloomberg Philanthropies Global Mayors Challenge (US$1M grant, announced Jan 2022)

Sources

↗ Our Changing City (Wellington City Council, authority)Official project page: touchscreen Digital City Model, climate hazards covered, Unreal Engine tech stack.
↗ Wellington's Digital Twin: A New Tool for Climate Action & Community Engagement (Smart Cities Council, trade press)Describes flood/coastal-inundation/slip modelling, Unreal Engine, Bloomberg funding link.
↗ New Zealand Ministry for the Environment (authority)Official government page on the digital twin's climate-adaptation use, co-design with mātauranga Māori.
↗ Bloomberg Philanthropies Announces 15 Winners of the Global Mayors Challenge (press release)Confirms the US$1M award, 18 Jan 2022 announcement, 2021-2022 Global Mayors Challenge cycle.
📎 Cite this project

1001 Smart Cities (2026). “Wellington Digital Twin” — Wellington, New Zealand. The Smart City Atlas. https://1001smartcities.org/projects/wellington-digital-twin/ (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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