Spatial information science
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Research Topics
Towards a place-based geographic information system
We have long-standing and pioneering research expertise to deliver the fundamental computational methods to capture, model, process, and interact with human place knowledge. People understand their environment in a very different way from computers: They think of places and their relations, while computers use coordinates and maps. People’s interaction with maps is cognitively costly and error-prone, which is becoming untenable in contexts requiring time-critical decision-making. The new fundamental computational methods enable smart human-machine interaction that intuitively is based on place knowledge. The developed methods are evaluated in scenarios such as general search, crowd-sourced data capture, or interaction with autonomous vehicles.
Intelligent mobility on demand
Urban mobility and access are a concern for transport planners, ecologists, economists, as well as individuals. New ideas are required to increase mobility and access for ever-growing cities in a sustainable way, this means in a way that decreases traffic, fuel consumption, or emissions and increases public health. Sharing transport resources suggests itself for reaching this goal. We are investigating the viability of novel mobility-on-demand systems in various urban environments and scenarios.