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Centrality measures and vulnerability of spatial networks
Ur?ka Demsar
author
Olga Patenková
author
Kirsi Virrantaus
author
2007
Information Systems for Crisis Response and Management, ISCRAM
Delft
English
Effective management of infrastructural networks in the case of a crisis requires a prior analysis of the vulnerability of spatial networks and identification of critical locations where an interdiction would cause most damage and disruption. This paper presents a preliminary study into how a graph theoretic structural analysis could be used for this purpose. Centrality measures are combined with a dual graph modelling approach in order to identify critical locations in a spatial network. The results of a case study on a street network of a small area in the city of Helsinki indicate that 'betweenness' is the most promising centrality measure for this purpose. Other measures and properties of graphs are under consideration for eventually developing a risk model not only for one but for a group of co-located spatial networks.
Damage detection
Electric network analysis
Risk assessment
Betweenness
Centrality measures
Critical location
Dual graphs
Effective management
Graph-theoretic
Spatial network
Street network
Graph theory
exported from refbase (http://idl.iscram.org/show.php?record=444), last updated on Sun, 09 Aug 2015 11:16:15 +0200
text
http://idl.iscram.org/files/demsar/2007/444_Demsar_etal2007.pdf
Ur?kaDemsar_etal2007
Intelligent Human Computer Systems for Crisis Response and Management, ISCRAM 2007 Academic Proceedings Papers
ISCRAM 2007
B. Van de Walle
P
Burghardt
editor
4th International ISCRAM Conference on Information Systems for Crisis Response and Management
2007
Information Systems for Crisis Response and Management, ISCRAM
Delft
conference publication
201
209
9789054874171; 9789090218717
2411-3387
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