Robustness assessment of link capacity reduction for complex networks: Application for public transport systems. (November 2017)

• Record Type: Journal Article
• Authors: Cats, Oded; Koppenol, Gert-Jaap; Warnier, Martijn
• Is Part Of: Reliability engineering & system safety. Volume 167(2017)
• Page Start: 544
• Page End: 553
• Publication Date: 2017-11
• Subjects: Robustness -- Link criticality -- Vulnerability -- Public transport -- Network assignment -- Complex networks; Reliability (Engineering) -- Periodicals; System safety -- Periodicals; Industrial safety -- Periodicals; Fiabilité -- Périodiques; Sécurité des systèmes -- Périodiques; Sécurité du travail -- Périodiques; 620.00452
• DOI: 10.1016/j.ress.2017.07.009
• Languages: English
• ISSNs: 0951-8320

Abstract

Highlights: Quantifying network transmission losses under planned capacity reductions. Integrating capacity degradation results per link into network robustness assessment. Formulating measures of link criticality and rapidity of network deterioration. An application to the urban public transport network of Amsterdam. Small and long capacity degradations should be preferred over large and short ones. Abstract: Network robustness refers to as the capacity to absorb disturbances with a minimal impact on system performance. Notwithstanding, network robustness assessment has been mostly confined to the analysis of complete link breakdown based on topological metrics. We propose reliability indicators that encompass changes in network performance with respect to the entire range of possible capacity reductions. Link criticality and degradation rapidity are measured by constructing network degradation curve that describe the relation between local capacity reduction and global change in network performance. We develop a public transport robustness assessment model which computes passenger flow distribution and network performance metrics under planned capacity reductions. The model is applied to the urban rail-bound network of Amsterdam. Link criticality and degradation rapidity are studied by performing a full-scan impact analysis which demonstrates how the robustness indicators introduced in this paper contribute to a more complete assessment of network robustness.