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General cargo and containership emergent routes: A complex networks description

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  • Pais Montes, Carlos
  • Freire Seoane, Maria Jesus
  • González Laxe, Fernando

Abstract

The paper aims to explain the evolution of the containerized and general cargo maritime routes in the last 3 years using complex networks analysis. Several particular results are searched: which ports are currently rising or dwindling in throughput; how is the structure of their network dynamics; and how to describe the resemblances and differences between these two transport patterns.

Suggested Citation

  • Pais Montes, Carlos & Freire Seoane, Maria Jesus & González Laxe, Fernando, 2012. "General cargo and containership emergent routes: A complex networks description," Transport Policy, Elsevier, vol. 24(C), pages 126-140.
    • Handle: RePEc:eee:trapol:v:24:y:2012:i:c:p:126-140
    DOI: 10.1016/j.tranpol.2012.06.022
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    References listed on IDEAS

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    Cited by:

    1. César Ducruet & Hidekazu Itoh, 2022. "The spatial determinants of innovation diffusion: evidence from global shipping networks," EconomiX Working Papers 2022-27, University of Paris Nanterre, EconomiX.
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    3. Ducruet, César & Itoh, Hidekazu, 2022. "The spatial determinants of innovation diffusion: Evidence from global shipping networks," Journal of Transport Geography, Elsevier, vol. 101(C).
    4. Carlos Pais-Montes & Jean-Claude Thill & David Guerrero, 2024. "Identification of shipping schedule cancellations with AIS data: an application to the Europe-Far East route before and during the COVID-19 pandemic," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(3), pages 490-508, September.
    5. Jin, Lianjie & Chen, Jing & Chen, Zilin & Sun, Xiangjun & Yu, Bin, 2022. "Impact of COVID-19 on China's international liner shipping network based on AIS data," Transport Policy, Elsevier, vol. 121(C), pages 90-99.
    6. Nguyen Tran & Hans-Dietrich Haasis, 2014. "Empirical analysis of the container liner shipping network on the East-West corridor (1995–2011)," Netnomics, Springer, vol. 15(3), pages 121-153, November.
    7. Angelito Calma & Martin Davies, 2016. "Academy of Management Journal, 1958–2014: a citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 959-975, August.
    8. Jin, Lianjie & Chen, Jing & Sheu, Jiuh-Biing & Zhou, Huixin & Jian, Yanchun & Yu, Bin, 2022. "Impacts of national strategies on gateway ports: An empirical study in the Bohai Rim," Transport Policy, Elsevier, vol. 117(C), pages 1-11.
    9. Tagawa, Hoshi & Kawasaki, Tomoya & Hanaoka, Shinya, 2022. "Evaluation of international maritime network configuration and impact of port cooperation on port hierarchy," Transport Policy, Elsevier, vol. 123(C), pages 14-24.
    10. David GUERRERO & Fernando GONZALEZ LAXE & Maria-Jesus FREIRE SEOANE & Carlos PAIS MONTES, 2015. "A Geographical Analysis Of The Relationship Between Inland Accessibility And Maritime Transport Supply," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 41, pages 33-46.
    11. Sugimura, Yoshihisa & Akakura, Yasuhiro & Yotsushima, Tatsuki & Kawasaki, Tomoya, 2023. "Evaluation of Japanese port policies through network analysis," Transport Policy, Elsevier, vol. 135(C), pages 59-70.
    12. Marc-Antoine Faure & Bárbara Polo Martin & Fabio Cremaschini & César Ducruet, 2024. "Shipping Trade and Geopolitical Turmoils: The Case of the Ukrainian Maritime Network," EconomiX Working Papers 2024-24, University of Paris Nanterre, EconomiX.
    13. Wanke, Peter & Falcão, Bernardo Bastos, 2017. "Cargo allocation in Brazilian ports: An analysis through fuzzy logic and social networks," Journal of Transport Geography, Elsevier, vol. 60(C), pages 33-46.
    14. César Ducruet, 2020. "The geography of maritime networks: A critical review," Post-Print halshs-02922543, HAL.
    15. Nadia M. Viljoen & Johan W. Joubert, 2018. "The Road most Travelled: The Impact of Urban Road Infrastructure on Supply Chain Network Vulnerability," Networks and Spatial Economics, Springer, vol. 18(1), pages 85-113, March.
    16. Tocchi, Daniela & Sys, Christa & Papola, Andrea & Tinessa, Fiore & Simonelli, Fulvio & Marzano, Vittorio, 2022. "Hypergraph-based centrality metrics for maritime container service networks: A worldwide application," Journal of Transport Geography, Elsevier, vol. 98(C).
    17. César Ducruet & Hidekazu Itoh, 2022. "The spatial determinants of innovation diffusion: Evidence from global shipping networks," Post-Print halshs-03719062, HAL.
    18. Wei Wang & Li Huang & Xuedong Liang, 2018. "On the Simulation-Based Reliability of Complex Emergency Logistics Networks in Post-Accident Rescues," IJERPH, MDPI, vol. 15(1), pages 1-10, January.
    19. Viljoen, Nadia M. & Joubert, Johan W., 2016. "The vulnerability of the global container shipping network to targeted link disruption," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 396-409.
    20. Ducruet, César, 2020. "The geography of maritime networks: A critical review," Journal of Transport Geography, Elsevier, vol. 88(C).
    21. Tovar, Beatriz & Hernández, Rubén & Rodríguez-Déniz, Héctor, 2015. "Container port competitiveness and connectivity: The Canary Islands main ports case," Transport Policy, Elsevier, vol. 38(C), pages 40-51.
    22. Guerrero, David & Letrouit, Lucie & Pais-Montes, Carlos, 2022. "The container transport system during Covid-19: An analysis through the prism of complex networks," Transport Policy, Elsevier, vol. 115(C), pages 113-125.
    23. Guerrero, David & Thill, Jean-Claude, 2021. "Challenging the shipper's location problem in port studies: An analysis of French AOC wine shipments to the US," Journal of Transport Geography, Elsevier, vol. 91(C).

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