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Smart City Research Lab

Knowledge Management in the context of Urban Planning

Today, achieving success is not only engaged by having exact, adequate, and precise knowledge but also by applying knowledge in the right time and the right place. The context of our work in Knowledge Management (KM) is to take data, which has the potential for insights, discover and annotate relations between data, representing information, and gaining an understanding about the context and application of information and turn it into knowledge. Continuously applying knowledge management in new fields – especially in the context of Urban Planning and Smart Cities - will finally enable to reach an improved and high quality society, which is human focused and highly integrated to provide the right information and knowledge, contextualized and on time for public sectors (e.g. in a Smart City context - air and water quality, traffic analysis, resource management, social society, and prediction of disaster, etc.).

In complex organizational units as a in cities, local municipalities, and districts, people driven organizations are continuously facing huge volumes of data, collected from information management systems as geo-information systems, Internet of Things (IoT) applications, tracking the interactions within the city in real-time, which only can be managed and utilized by applying Big Data methods. A conceptual strategy of knowledge management will here enable to foster new, human focused solutions, utilizing the continues flow of information. Knowledge aware, knowledge managed cities and their technological vision, the Smart City are more integrated, smarter and participatory – involving and informing the citizens and rendering the city planning process a smart, managed, knowledge-intense and integrative task.

To foster the potential of the interaction and transition from a smart to a knowledge-based city we follow a vision of grand visions and small steps integrating the lessons learned from Knowledge Management into the urban planning context, where we continuously follow four stages: 1) sustainable planning, following the acquisition philosophy of knowledge management, 2) implementing mechanisms, combining systems with smart algorithmic solutions and a tailored data integration, 3) realizing the focused solutions with an knowledge management integration, and finally 4) testing the knowledge city solutions in real applications cases, working closely with pilot districts and their stakeholders.

Knowledge Management helps us looking for novel integrative research, to build advanced tools combined with the existing human know how. Our competence centres which focus on product life cycle management, Big Data and data integration, IoT concepts and applications, re-engineering, and machine learning and intelligent models bring together the right experience to rethink the next stage of smart and knowledge intensive cities.

The following projects are part of our Smart City Research Lab (SCRL) portfolio on running and successfully finished projects in the scope of Urban Planning, Smart City and Knowledge Based City. Further public health focused projects are available through the project page of the Institute of Knowledge Based systems.

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