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Vulnerability analysis of public transport networks: A dynamic approach and case study for Stockholm
2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, a dynamic and stochastic notion of public transport network vulnerability is develoepd. While previous studies have considered only the network topology, the non-continuous availability of services requires a more refined model for supply and demand interactions in order to evaluate the impacts of disruptions. We extend the measures of betweenness centrality (often used to identify po-tentially important links) and link importance to a dynamic-stochastic setting from the perspectives of both operators and passengers. We also formalize the value of real-time information (RTI) provision for reducing disruption impacts. The developed measures are applied in a case study for the high-frequency public transport network of Stockholm, Sweden. The importance ranking of the links varies depending on the RTI provision scheme. This suggests that RTI may have significant positive but also negative influence on disruption impacts, and that betweenness centrality (passenger/vehicle flows) may not be a good indicator of link importance.

Place, publisher, year, edition, pages
2012.
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-107688OAI: oai:DiVA.org:kth-107688DiVA: diva2:577288
Conference
The 5th International Symposium on Transportation Network Reliability (INSTR2012), Hong Kong,18-19 December, 2012
Note

QC2013016

Available from: 2013-01-16 Created: 2012-12-14 Last updated: 2013-01-16Bibliographically approved

Open Access in DiVA

PTvulnerability(884 kB)1355 downloads
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Cats, OdedJenelius, Erik

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf