Digital twins reflect the successive development and current culmination of decades of data collection and analysis in the urban environment. A digital twin is more than just a digital geographic model of a city. It encompasses a multitude of models and data on a wide range of topics and now spans the movement and behaviour of air, water, light, heat, pollution and, above all, people. In general, a digital twin must succeed in depicting the city as a changing, dynamic, living environment. To achieve climate neutrality, many different interactions in a city's energy system must be taken into account. The Digital Twin can help to make the complex interrelationships visible.
To create a digital twin of a city, a large amount of data from different sources is needed. The more data available, the higher the benefit of the digital twin.
Frequently used data:
Essential prerequisites for the success of future city models:
The city of Münster has received 9.5 million euros in funding from the Federal Ministry of the Interior for Construction and Home Affairs (BMI). The money will be used, for example, to realise twelve selected project ideas. The funded projects are briefly described below:
Involving and empowering children and young people for the smart city. Equipped with mobile devices, they explore their surroundings with a focus on topics of a digital city.
Further development of the green wave assistant "Leezenflow" and installation on the 14 cycle routes of the Münster city region.
Development of a digitally supported educational and information offer on the topic of climate protection and renewable energies.
Support and stabilisation of "open" civic ideas and digital projects through a sponsorship model.
Increasing the attractiveness of the city centre by attracting and harnessing ideas, start-ups and projects from the digital economy.
With digital solutions for optimal city logistics. Development of digitally supported measures to make local delivery routes short and environmentally friendly.
Localising the digital: Developing a "third place" for applying and trying out techniques and digital solutions to acquire media and digital literacy.
Developing and implementing neighbourhood-based digital projects for new urban neighbourhoods such as Oxford and York.
Development of an area-wide and participatory network of measuring stations to collect environmental data.
Development of a central data platform and digital twin for urban infrastructures.
Collection and analysis of data for the further development and expansion of cycling infrastructure.
Accelerate Loop and Bus Transport: Use of intelligent communication technologies to optimise local public transport.
Further info at: https://smartcity.ms/