Digital Twin solution for Smart Cities
Entrepreneurs, property owners, municipalities and other parties involved want a successful future for their cities. But on which information do you make decisions? How do you ensure a smart integrated strategy and clear direction? With our Digital Twin for smart cities, you get all relevant information integrated in one dashboard.
These inner cities went before you
Our dashboard supports smart cities by
A user-friendly online tool
Clear view of data-driven insights into all the city's challenges
Linking to own data systems
Scalable use through access for all stakeholders
Visitors
- Live insight into crowds
- Detailed analysis of visitor numbers and visitor behaviour
- Analysis of routing, origin-destination and residence
real estate
- Insight into physical property information such as size, height and year of construction
- Comprehensive information on function, addresses and licence
- Insight into economic information such as WOZ, KVK and energy labels
sustainability
- Heat map and corresponding development by area.
- Insight into 'green' or 'petrified' areas.
- Overview of the network and infrastructure
mobility
- Live insight into traffic and public transport flows.
- Policy-based mobility analyses, such as bicycle accessibility
- Real-time insight into parking information
safety
- Representation of objects at risk and vulnerable objects
- Analytical tools for area risk analysis
- Information on pawn population
As a former administrator and city centre professional, I see a growing need for insight. And rightly so. Working on the city is not done on assumptions, but on knowledge. This technique makes that a lot easier.
The visualization of data in the Argaleo dashboard helps us to easily analyze data and place it in a broader urban context. At the same time it enables us to anticipate social challenges.
Digitwin gives us a daily update on the state of the city. The information is disclosed in a 3D visualisation and gives a clear overview. This helps my colleagues to better assess the impact of measures and policies on the built environment. This way of data-driven work supports us in realising the ambitions from our vision of the future. The digital twin is a scalable solution in which we can make our own data transparent and link it to public data sources.