Logo
Benutzer: Gast  Login
Autoren:
Wang, Zhonglin 
Dokumenttyp:
Dissertation / Thesis 
Titel:
Aggregation-based Decision Support Framework for Resilience Analysis of a Transportation Network 
Betreuer:
Pickl, Stefan W., Univ.-Prof. Dr. 
Gutachter:
Pickl, Stefan W., Univ.-Prof. Dr.; Rose, Oliver, Univ.-Prof. Dr. 
Tag der mündlichen Prüfung:
20.05.2021 
Publikationsdatum:
22.06.2021 
Jahr:
2021 
Sprache:
Englisch 
Schlagwörter:
Deutschland ; Kritische Infrastruktur ; Schienenschnellverkehr ; ICE ; Verkehrsnetz ; Terrorismus ; Gefährdung ; Resilienz ; Analyse ; Graphentheoretisches Optimierungsverfahren ; Multikriteria-Entscheidung ; Hochschulschrift 
Stichwörter:
Quantitative graph theory; Centrality; Efficiency; vulnerability; Technique for Order Preference by Similarity to Ideal Solution (TOPSIS); Network resilience 
Abstract:
As one example of critical infrastructures, the German high-speed train network (ICE) is a prime target for terrorism. To decrease the impact of attacks, key stations need to be identified as the most likely targets. One approach for doing so is modeling the network as a graph and then applying suitable graph measures to it. The central concern of this thesis is the fact that there is a large number of old and new measures, which all provide their unique perspective, but which eventually lead to...    »
 
DDC-Notation:
511.5 
Fakultät:
Fakultät für Informatik 
Institut:
INF 1 - Institut für Theoretische Informatik, Mathematik und Operations Research 
Professur:
Pickl, Stefan 
Open Access ja oder nein?:
Ja / Yes