Decomposing multilayer transportation networks using complex network analysis: a case study for the Greek aviation network

Tsiotas, Dimitrios; Polyzos, Serafeim

doi:10.1093/comnet/cnv003

Cited by 41 publications

(53 citation statements)

References 36 publications

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“…In this way, they showed that the resilience of the multilayer network is lower than the one of the aggregated network. Other air transportation networks that have been analyzed using the multilayer framework include the greek aviation network [78] and the chinese aviation network [79,80].…”

Section: Multilayer Network In Transportmentioning

confidence: 99%

Multilayer Networks in a Nutshell

Aleta

Moreno

2019

Annu. Rev. Condens. Matter Phys.

164

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Complex systems are characterized by many interacting units that give rise to emergent behavior. A particularly advantageous way to study these systems is through the analysis of the networks that encode the interactions among the system's constituents. During the last two decades, network science has provided many insights in natural, social, biological and technological systems. However, real systems are more often than not interconnected, with many interdependencies that are not properly captured by single layer networks. To account for this source of complexity, a more general framework, in which different networks evolve or interact with each other, is needed. These are known as multilayer networks. Here we provide an overview of the basic methodology used to describe multilayer systems as well as of some representative dynamical processes that take place on top of them. We round off the review with a summary of several applications in diverse fields of science.

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Section: Multilayer Network In Transportmentioning

confidence: 99%

Multilayer Networks in a Nutshell

Aleta

Moreno

2019

Annu. Rev. Condens. Matter Phys.

164

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“…To study the complete public transport network as a whole, multilayer networks seems to be a useful approach [26]. For example, Tsiotas and Polyzos [27] integrated different aviation companies as separate layers in a multiplex network to identify the strategic plans of each company and its contribution to the total air transport network. A practical application of multilayer networks to the whole UK public transport system integrates airports, ferry, docs, rail, metro, coach and bus stations [28].…”

Section: Transport Network and Complex Network Analysismentioning

confidence: 99%

A Crowdsourcing Approach for Sustainable Last Mile Delivery

et al. 2018

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Sustainable transportation is one of the major concerns in cities. This concern involves all type of movements motivated by different goals (mobility of citizens, transportation of goods and parcels, etc.). The main goal of this work is to provide an intelligent approach for Sustainable Last Mile Delivery, by reducing (or even deleting) the need of dedicated logistic moves (by cars, and/or trucks). The method attempts to reduce the number of movements originated by the parcels delivery by taking advantage of the citizens’ movements. In this way our proposal follows a crowdsourcing approach, in which the citizens that moves in the city, because of their own needs, become temporal deliverers. The technology behind our approach relays on Multi-agent System techniques and complex network-based algorithms for optimizing sustainable delivery routes. These artificial intelligent approaches help to reduce the complexity of the scenario providing an efficient way to integrate the citizens’ routes that can be executed using the different transportation means and networks available in the city (public system, private transportation, eco-vehicles sharing systems, etc.). A complex network-based algorithm is used for computing and proposing an optimized Sustainable Last Mile Delivery route to the crowd. Moreover, the executed tests show the feasibility of the proposed solution, together with a high reduction of the CO 2 emission coming from the delivery trucks that, in the case studies, are no longer needed for delivery.

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“…Multilayered network studies in transportation have been more recent and mostly present a network M where the individual layers (Gα) are different transport modes. The global air transport and maritime networks offer rich examples of multilayered networks where the layers present different airline or airline alliance networks (Cardillo et al, 2015;Tsiotas and Polyzos, 2015), different maritime cargo types (Ducruet, 2013;Kaluza et al, 2010) and even multimodal layers (Parshani et al, 2011). Of particular interest to this study are the metropolitan transport applications motivated by the importance of multimodal transport as the mainstay of urban mobility.…”

Section: Transportation Applicationsmentioning

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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Decomposing multilayer transportation networks using complex network analysis: a case study for the Greek aviation network

Cited by 41 publications

References 36 publications

Multilayer Networks in a Nutshell

Multilayer Networks in a Nutshell

A Crowdsourcing Approach for Sustainable Last Mile Delivery

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

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