Vulnerability of international freight flows to shipping network disruptions: A multiplex network perspective

Calatayud, Agustina; Mangan, D John; Palacín, Roberto

doi:10.1016/j.tre.2017.10.015

Cited by 90 publications

(49 citation statements)

References 55 publications

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“…Maritime networks were also analyzed at the country level, in direct relation with international trade flows (Guerrero et al, 2015b;Huang et al, 2016;Calatayud et al, 2017;Catalayud et al, 2017;Fugazza and Hoffmann, 2017;Kosowska-Stamirowska, 2020). For instance, Guerrero et al (2015b) showed that international trade flows of containerizable (section 4.2) commodities were better explained by gravity equations when using vessel movement frequency rather than kilometers as the distance metric.…”

Section: Interregional Maritime Flowsmentioning

confidence: 99%

The geography of maritime networks: A critical review

Ducruet

2020

Journal of Transport Geography

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Despite early cartographical and graph-theoretical analyses of maritime flows in the 1940s and 1960s, it is only from the 2000s onwards that maritime network analysis had grown apace, backed by newly available shipping data, increased computational power, and renewed conceptual frameworks to study networks in general. The evolution of maritime network analysis, in geography and other sciences, is marked by a wide diversity of methods and themes, which we classify into three main parts. We first present studies looking at maritime flows in an abstract space, focusing on operational, statistical, or managerial aspects where navigation, graph structure, and firms' strategies are the key concerns. Second, we review researches where maritime flows and networks are markers and vectors of wider geo-economic structures and dynamics, such as regional inequalities and areas of dominance. Lastly, maritime networks have also been considered as integral parts of territories and wider chained systems, such as urban networks, regional networks, and coupled networks. We conclude that network analysis and maritime transport still share many uncovered areas and discuss potential research pathways for future works.

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Section: Interregional Maritime Flowsmentioning

confidence: 99%

The geography of maritime networks: A critical review

Ducruet

2020

Journal of Transport Geography

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“…The two-stage ADCAM framework is, therefore, is a suitable method for computing criticality rankings of components and quantifying the potential impact of disruptions in the liner shipping networks.LINER-LIB dataset developed by Brouer et al (2014). LINER-LIB was initially intended for use as a benchmark dataset for liner-shipping network design algorithms.…”

Section: Model Integrationmentioning

confidence: 99%

Evaluation of port disruption impacts in the global liner shipping network

et al. 2019

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The global container shipping network is vital to international trade. Current techniques for its vulnerability assessment are constrained due to the lack of historical disruption data and computational limitations due to typical network sizes. We address these modelling challenges by developing a new framework, composed by a game-theoretic attacker-defender model and a cost-based container assignment model that can identify systemic vulnerabilities in the network. Given its focus on logic and structure, the proposed framework has minimal input data requirements and does not rely on the presence of extensive historical disruption data. Numerical implementations are carried in a global-scale liner network where disruptions occur in Europe's main container ports. Model outputs are used to establish performance baselines for the network and illustrate the differences in regional vulnerability levels and port criticality rankings with different disruption magnitudes and flow diversion strategies. Sensitivity analysis of these outputs identifies network components that are more susceptible to lower levels of disruption which are more common in practice and evaluates the effectiveness of component-level interventions seeking to increase the resilience of the system.

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“…Balijepalli and Oppong compared some widely-used vulnerability indices on urban road networks, and proposed a new measurement of road criticality that is more appropriate for urban areas [6]. On the other hand, many researchers focused in recent years on topological approaches from graph theory and network science [13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. For example, Demšar et al studied the road network of Helsinki, Finland, and suggested that the cut links and links with high betweenness values tend to be the critical roads in the network [15].…”

Section: Introductionmentioning

confidence: 99%

Identifying the most influential roads based on traffic correlation networks

et al. 2019

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Prediction of traffic congestion is one of the core issues in the realization of smart traffic. Accurate prediction depends on understanding of interactions and correlations between different city locations. While many methods merely consider the spatio-temporal correlation between two locations, here we propose a new approach of capturing the correlation network in a city based on realtime traffic data. We use the weighted degree and the impact distance as the two major measures to identify the most influential locations. A road segment with larger weighted degree or larger impact distance suggests that its traffic flow can strongly influence neighboring road sections driven by the congestion propagation. Using these indices, we find that the statistical properties of the identified correlation network is stable in different time periods during a day, including morning rush hours, evening rush hours, and the afternoon normal time respectively. Our work provides a new framework for assessing interactions between different local traffic flows. The captured correlation network between different locations might facilitate future studies on predicting and controlling the traffic flows.

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Vulnerability of international freight flows to shipping network disruptions: A multiplex network perspective

Cited by 90 publications

References 55 publications

The geography of maritime networks: A critical review

The geography of maritime networks: A critical review

Evaluation of port disruption impacts in the global liner shipping network

Identifying the most influential roads based on traffic correlation networks

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