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Agent-based Visual Analysis of Public Transport Infrastructure

M. T. Fischer, D. Ackermann, Y. Metz, D. A. Keim

Smart Country Convention (SCCON), 2022
Geovis Maps Comparative Analysis Information Visualization Transportation Critical Infrastructure

Poster - Investigating Potentials for Optimizing Integrated Transport Solutions. How can we analyze the current state of public transport (train, bus, bike) in house-level detail? Can we identify neighborhoods with good transport links and left-behind communities? Can we improve public transport with the help of simulations of the effects of changing lines and adapting existing schedules? We design and implement a visual analytics system for public transport infrastructure analysis and apply agent-based scenario analysis on different user groups and scenarios for comparative evaluation. To evaluate our approach, we conduct a case study on the state of public transportation in the Landkreis Konstanz and evaluate the effect of integrated transport planning on existing transport infrastructure and its optimization potential for holistic approaches.

Materials
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