productivity

Loop City is a collaboration between 10 municipalities, the Capital Region and the Danish State on urban and business development along the Ring 3 light rail. The collaboration partners are the Capital Region, Ministry of Transport, Danish Business Authority, and 10 municipalities. Loop City is a unique Danish example of collaborative, strategic urban management. Its goal is to realise the significant opportunities for urban and business development that the new Ring 3 infrastructure paves the way for.

The Government of Catalonia, through Incasòl (the Catalan Land Institute), and Barcelona City Council are committed to fostering the execution of new strategic projects in Catalonia, especially in the Barcelona metropolitan area, as well as developing the most important logistics facilities around the Mediterranean Corridor, which make our territory the gateway to southern and central Europe for incoming and outgoing goods.

The Smart City Berlin Network is a working group initiated by Berlin Partner for Business and Technology and TSB (Technology Foundation Berlin) that includes more than 100 companies as well as science and research institutes from Berlin that seek to promote Berlin as a smart city and want to see Berlin ranked among the leading smart cities in Europe.

In order to offer an industrial IoT solution, there is a need to “connect the dots” by bringing together these various systems. This requires well-managed data fusion, real-time monitoring, prediction, optimization and control capabilities for industrial companies’ critical assets. Leveraging our game-changing monitoring and control technology, mPrest offers a unique solution to the IoT world.

Kalasatama Smart City district of Helsinki is an experimental innovation platform to co-create smart urban infrastructure and services. This centrally located old harbour area is developed flexibly and through piloting, in close co-operation with residents, companies, city officials and other stakeholders. The vision of Kalasatama is to become so resource-wise that residents will gain an extra hour of own time every day.

Land Insight is a web application that makes it easier to uncover hidden building opportunities by using big data to allow a super-fast initial site assessment on any piece of land. On top of this massive dataset is a crowd sourced insight layer that creates an ever-improving list of opportunities and collaborations not to be found on the open market. The platform is currently being road tested by East London Custom Build Group.

Ordnance Survey (OS) are working with partners to provide 3D height data solutions for construction professionals, with the aim of revolutionising and underpinning planning visualisation and impact analysis. This will have the potential to feed into BIM workflows.

Making optimum use of land for new homes and jobs is a key challenge to manage London’s growing population. To this end, this tool has been developed to identify major new opportunities for densification in accessible locations across Greater London. The map-based system will be the first to combine data from several different sources to locate major opportunities at an early stage and prior to any planning being significantly advanced.

The development site is subject to several encumbrances, from rights of way and asset protection provisions that arise from the historic and continued presence of railway infrastructure, to leases and licences. GIS is used to monitor building completion dates and make long-term business decisions, such as when to commence the marketing of newly completed buildings. The tool not only allows the mapping of data, but also influences the process of creating new inputs, linking data with reports and external sources of information and sharing information within project teams.

Current building management systems are rule-based, meaning that the controls of energy systems are programmed when the building is built. Modifications to the control of energy systems are not feasible since they require manual expert action. By introducing a control system that is based on building and system models it is possible to optimize operation dynamically and change it e.g. every day or every hour.