Kolloquium Geoinformatik The n-dimensional city - Analyzing multidimensional data for smart cities approaches

Research on smart city approaches is of high complex multidisciplinary nature and involves multiple stakeholders. Data used in city wide research projects usually differs by domain and by means of data gathering that requires intensive data integration efforts. A major obstacle in this process is the current proprietary nature of major commercial technologies. The lack of interoperability makes it difficult to share and further process research results. This presentation focuses on the development of an open data infrastructure that allows data storage, data exchange, data analysis, as well as data visualization across projects and research domains. The application of the proposed infrastructure will be discussed in regards to different smart city approaches. Examples will be demonstrated for three different geographic regions that includes the development of a socio-demographic data mining approach for energy usage for the city of Karlsruhe, an analysis of electric car charging behavior using a Neural Network classification model for the island of La Reunion, and the usage of open-data in smart city approaches demonstrated on New York City.