期刊名称：Journal of Systemics, Cybernetics and Informatics
印刷版ISSN：1690-4532
电子版ISSN：1690-4524
出版年度：2016
卷号：14
期号：6
页码：72-77
出版社：International Institute of Informatics and Cybernetics
摘要：The decision takers of the public transportation system, as part ofurban critical infrastructures, need to increase the systemresilience. For doing so, we identified analysis tools forbiological networks as an adequate basis for visual analytics inthat domain. In the paper at hand we therefore translate suchmethods for transportation systems and show the benefits byapplying them on the Munich subway network. Here, visualanalytics is used to identify vulnerable stations from differentperspectives. The applied technique is presented step by step.Furthermore, the key challenges in applying this technique ontransportation systems are identified. Finally, we propose theimplementation of the presented features in a managementcockpit to integrate the visual analytics mantra for an adequatedecision support on transportation systems.
