Effective and efficient cities: why does real-time data hold the key?
summary
Argues real-time city data unlocks measurable gains: less than 1% of data is used despite forecasts of 44 zettabytes, and only ~15% of assets are connected; shows a working digital twin created from 40,000 images of Helsinki to run simulations before building; cites driverless metro controls and a Nuremberg trial that can forecast air quality five days ahead and visualize NOx/PM reductions; mentions indoor air sensors, McKinsey estimates of 300M€ savings and 30–300 lives saved, and Horizon 2020 pilots in multiple cities.
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chapters (8)
- 0:00Real-time data in smart cities
- 1:07Infrastructure for data access
- 3:14Infrastructure must prioritize people
- 5:03Smart city projects worldwide
- 6:49Sustainable urban development
- 8:18Digital twins for city planning
- 10:23Air quality and public health
- 11:49Q&A on digital twins
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