A new connectivity index for container ports

Bartholdi, John J.; Jarumaneeroj, Pisit; Ramudhin, Amar

doi:10.1057/mel.2016.5

Cited by 32 publications

(37 citation statements)

References 15 publications

(32 reference statements)

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“…An outstanding example of such impact is the Container Port Connectivity Index developed by Bartholdi et al [5]. This index is a two-metric global port ranking index that uses the concept of eigenvector centrality and the transport economics reflected in United Nations Conference on Trade and Development's long-standing Liner Shipping Connectivity Index, to create a better classification of the roles that global ports play [5,54].…”

Section: Applications Of Complex Network Theory In the Maritime Domainmentioning

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: Applications Of Complex Network Theory In the Maritime Domainmentioning

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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“…There are many researches that highlight the significant role of maritime ports. Hence, many researchers investigate the importance of port's supply chain integration (Bartholdi et al, 2016;Gumzej & Čišić, 2018;Host et al, 2018;Onwuegbuchunam et al, 2018;Trupac & Twrdy, 2010), their importance for the port-city relationship (Hesse, 2018;Monios et al, 2018;Schiozzi et al, 2018), and hinterland connections (Bergqvist, 2015;Notteboom & Rodrigue, 2007;Van Der Horst & De Langen, 2008). Other emphasize the importance and quality of container shipping liners (El Kalla et al, 2017; Hirata, 2017; Kos et al, 2010) and the importance of working timetable har-and the importance of working timetable harmonization between seaport clusters (Karmelić & Tijan, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition, Carruthers (2013) made a benchmark analysis to highlight the importance of transport infrastructure and its impact on the overall country growth. Kevin et al (2004) considered port equipment as an im-considered port equipment as an important input factor for measuring the container port production efficiency through the frequently used data envelopment analysis (Bichou, 2013;Hung et al, 2010;Sharma & Jin, 2009), while Bartholdi et al (2016) suggest-, while Bartholdi et al (2016) suggest- Bartholdi et al (2016) suggest-suggested a new measure of importance with which to compare container ports, the so-called Container Port Connectivity Index. All this, together with additional factors, has a significant influence on port performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Benchmarking Analysis of Factors Influencing Container Traffic in the Port of Rijeka

Petrlić

Pavletić²

2019

Pomorstvo (Online)

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Traditionally, ports have been regarded as hubs responsible for the reception of ships and passengers, but nowadays they have a much wider economic function, being clusters of various activities directly or indirectly linked to maritime transportation and seaborne trade, among which container traffic is the most important segment. The Port of Rijeka as the largest Croatian cargo port, positioned in the North Adriatic Sea, has exceptional but not fully exploited opportunities for further economic development of importance not just for the port and the city but for the Republic of Croatia as well. In addition, its geostrategic position makes it an important international port for Central and South Eastern European countries. The aim of this paper is to investigate and identify the current position of the Port of Rijeka (hereinafter Rijeka) in relation to the container business and, using Benchmarking as the research method, to analyse the established five main factors that have to be taken into consideration where its efficiency is compared to the statistically proven “best container port” in the region – the Port of Koper (hereinafter Koper). The results show significant competitive advantages of the Port of Koper almost in any of the analysed factors. Therefore, recommendations are given for further actions and improvement according to the natural advantages that Rijeka has to utilize in order to enhance its competitiveness and overall performance.

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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%

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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A new connectivity index for container ports

Cited by 32 publications

References 15 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

Benchmarking Analysis of Factors Influencing Container Traffic in the Port of Rijeka

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

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