Robustness of airline route networks

Lordan, Oriol; Sallán, José M.; Escorihuela, Nuria; Gonzalez-Prieto, David

doi:10.1016/j.physa.2015.10.053

Cited by 61 publications

(33 citation statements)

References 35 publications

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“…The global air transport network is another example where the application of complex network theory has greatly advanced the understanding of network dynamics and has promoted the study of vulnerability [34][35][36][37]42]. Maritime and air transport networks are parallel in many ways.…”

Section: Introductionmentioning

confidence: 99%

The vulnerability of the global container shipping network to targeted link disruption

Viljoen

Joubert

2016

Physica A: Statistical Mechanics and its Applications

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Using complex network theory to describe the relational geography of maritime networks has provided great insights regarding their hierarchy and evolution over the past two decades. Unlike applications in other transport fields, notably air transport, complex network theory has had limited application in studying the vulnerability of maritime networks. This study uses targeted link disruption to investigate the strategy specific vulnerability of the network. Although nodal infrastructure such as ports can render a network vulnerable as a result of labour strikes, trade embargoes or natural disasters, it is the shipping lines connecting the ports that are more probably disrupted, either from within the industry, or outside. In this paper we apply and evaluate two link-based disruption strategies on the global container shipping network, one based on link betweenness, and the other on link salience, to emulate the impact of large-scale service reconfiguration affecting priority links. The results show that the network is by and large robust to such reconfiguration. Meanwhile the flexibility of the network is reduced by both strategies, but to a greater degree by betweenness, resulting in a reduction of transshipment and dynamic rerouting potential amongst the busiest port regions. The results further show that the salience strategy is highly effective in reducing the commonality of shortest path sets, thereby diminishing opportunities for freight consolidation and scale economies.

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Section: Introductionmentioning

confidence: 99%

The vulnerability of the global container shipping network to targeted link disruption

Viljoen

Joubert

2016

Physica A: Statistical Mechanics and its Applications

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“…A dynamic network is developed to characterize the static topological structure of airspace [37] as well as the dynamic relationship between the traffic flow and the airspace, which is illustrated in Figure 1. (2) Directed edges, denote the air traffic flow between the interfaces and the nodes, where the direction of the edges is the direction of air traffic, and the length of the edges is proportional to the length of the corresponding segments.…”

Section: Dynamic Network For En Route Traffic Flow 21 Definitionsmentioning

confidence: 99%

A network based dynamic air traffic flow model for en route airspace system traffic flow optimization

Chen

Zhang

et al. 2017

Transportation Research Part E: Logistics and Transportation Re

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“…Single layer studies on transportation systems are extensive covering air transport (Lordan et al, 2016(Lordan et al, , 2015Lordan, 2014;Lordan et al, 2014b;Sun et al, 2017;Zanin et al, 2009;Zanin and Lillo, 2013), maritime networks (Bartholdi and Jarumaneeroj, 2014;Ducruet et al, 2010a,b;Ducruet and Notteboom, 2012;Ducruet, 2016;González Laxe et al, 2012;Hu and Zhu, 2009;Fraser et al, 2014;Mohamed-Chérif and Ducruet, 2016;Pais Montes et al, 2012;Tsiostas and Polyzos, 2015;Viljoen and Joubert, 2016), train, bus, tram and subway systems (Criado et al, 2007;Kurant and Thiran, 2006a;Mouronte and Benito, 2012;Ouyang et al, 2014;Sen et al, 2003), and the structural properties and vulnerability of road networks (Crucitti et al, 2006;Duan and Lu, 2014;Gudmundsson and Mohajeri, 2013;Háznagy et al, 2015;Jiang, 2007;Jiang and Claramunt, 2004;Porta et al, 2012;Reggiani et al, 2011;Rupi et al, 2015;Strano et al, 2009;Zadeh and Rajabi, 2013).…”

Section: Transportation Applicationsmentioning

confidence: 99%

“…Despite the fact that pc is not always a relevant indicator, measuring the size of the LCC remains the most popular robustness metric (Lordan et al, 2014a(Lordan et al, , 2016Thadakamalla et al, 2004;Viljoen and Joubert, 2016). However, the impact on the network skeleton -a concept emerging recently from the study of core-periphery structure (Shekhtman et al, 2014) -could also be a valid interpretation of robustness.…”

Section: Percolation Theory and The Critical Pointmentioning

confidence: 99%

The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability

Viljoen

Joubert

2017

Netw Spat Econ

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Making a supply chain more resilient and making it more efficient are often diametrically opposed objectives. Managers have to make informed trade-offs when designing their supply chain networks. There are many methods available to quantify and optimise efficiency. Unfortunately the same cannot be said for vulnerability and resilience. We propose a method to quantify the impact that a supply chain's dependence on the underlying transport infrastructure has on its vulnerability. The dependence relationship is modelled using multilayered complex network theory. We develop two metrics relating to the unique collection of shortest path sets namely redundancy and overlap. To test the relationships between these metrics and supply chain vulnerability we simulate progressive random link disruption of the urban road network and assess the impact this has on Fully Connected, Single Hub and Double Hub network archetypes. The results show that redundancy and overlap of the collection of shortest paths are significantly related to supply chain resilience, however under a purely random disturbance regime they hold no predictive power. This paper builds a foundation for a new field of inquiry into supply chain vulnerability by presenting a flexible mathematical formulation of the multilayered network and defining and testing two novel metrics that could be incorporated into supply chain network design decisions. Keywords supply chain vulnerability • urban road network • multilayer complex network • shortest paths • link betweenness This article has been published and should be cited as: Viljoen, N. M., & Joubert, J. W. (2018). The road most travelled: The impact of urban road infrastructure on supply chain network vulnerability. Networks and Spatial Economics, 18(1), 85-113.

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Robustness of airline route networks

Cited by 61 publications

References 35 publications

The vulnerability of the global container shipping network to targeted link disruption

The vulnerability of the global container shipping network to targeted link disruption

A network based dynamic air traffic flow model for en route airspace system traffic flow optimization

The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability

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