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Medientyp:
E-Artikel
Titel:
The public transport navigation system
Beteiligte:
Burch, Michael
[VerfasserIn];
Staudt, Yves
[VerfasserIn];
Frommer, Sina
[VerfasserIn];
Uttenweiler, Janis
[VerfasserIn];
Grupp, Peter
[VerfasserIn];
Hähnle, Steffen
[VerfasserIn];
Scheytt, Josia
[VerfasserIn];
Kloos, Uwe
[VerfasserIn]
Erschienen:
Berlin : Springer, 2022
Sprache:
Englisch
DOI:
https://doi.org/10.1007/s12650-021-00822-7
Entstehung:
Anmerkungen:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Beschreibung:
Public transport maps are typically designed in a way to support route finding tasks for passengers, while they also provide an overview about stations, metro lines, and city-specific attractions. Most of those maps are designed as a static representation, maybe placed in a metro station or printed in a travel guide. In this paper, we describe a dynamic, interactive public transport map visualization enhanced by additional views for the dynamic passenger data on different levels of temporal granularity. Moreover, we also allow extra statistical information in form of density plots, calendar-based visualizations, and line graphs. All this information is linked to the contextual metro map to give a viewer insights into the relations between time points and typical routes taken by the passengers. We also integrated a graph-based view on user-selected routes, a way to interactively compare those routes, an attribute- and property-driven automatic computation of specific routes for one map as well as for all available maps in our repertoire, and finally, also the most important sights in each city are included as extra information to include in a user-selected route. We illustrate the usefulness of our interactive visualization and map navigation system by applying it to the railway system of Hamburg in Germany while also taking into account the extra passenger data. As another indication for the usefulness of the interactively enhanced metro maps we conducted a controlled user experiment with 20 participants.