Urban regions are becoming increasingly crowded, which places heavy demands on public transportation networks. Movement data stemming from mobile network data is becoming cheap and easy to obtain and much research has been done within the field of Visual Analytics on how to best visualize these data for analytic tasks. Yet, collaboration with the public transportation sector has been lacking.
This work addresses that research gap by developing an interactive visualization concept for attributed flow data stemming from mobile network data to be used by professionals in the field
of urban public transportation planning. A user-centred design approach is taken, starting with expert user interviews and resulting in an evaluation of the developed prototype. The design of
the visualizations is based on an exploration of the historical development of visualizations of temporal data as well as recent developments within Visual Analytics.
The results show that the incorporation of attributed flow data stemming from mobile network data can help improve several issues of the current framework used for public transportation planning
and would therefore be of great value. However, as only the first iteration of a user-centred design cycle could be realized within the time allocated for this research, several improvements
need to be incorporated and evaluated in further cycles in order for a well working product to be developed.
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Urban regions are becoming increasingly crowded, which places heavy demands on public transportation networks. Movement data stemming from mobile network data is becoming cheap and easy to obtain and much research has been done within the field of Visual Analytics on how to best visualize these data for analytic tasks. Yet, collaboration with the public transportation sector has been lacking.
This work addresses that research gap by developing an interactive visualization concept for attributed...
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