Details

Autor(en) / Beteiligte

• Marian Sorin Nistor
• Stefan Wolfgang Pickl
• Martin Zsifkovits

Titel

A Visual Analytics Technique for Identifying Heat Spots in Transportation Networks

Ist Teil von

• Journal of systemics, cybernetics and informatics, 2016-12, Vol.14 (6), p.72-77

Ort / Verlag

International Institute of Informatics and Cybernetics

Erscheinungsjahr

2016

Link zum Volltext

Quelle

Elektronische Zeitschriftenbibliothek (Open access)

Beschreibungen/Notizen

• The decision takers of the public transportation system, as part of urban critical infrastructures, need to increase the system resilience. For doing so, we identified analysis tools for biological networks as an adequate basis for visual analytics in that domain. In the paper at hand we therefore translate such methods for transportation systems and show the benefits by applying them on the Munich subway network. Here, visual analytics is used to identify vulnerable stations from different perspectives. The applied technique is presented step by step. Furthermore, the key challenges in applying this technique on transportation systems are identified. Finally, we propose the implementation of the presented features in a management cockpit to integrate the visual analytics mantra for an adequate decision support on transportation systems.