The complex network of global cargo ship movements

The complex network of global cargo ship movements

13 Jan 2010 | Pablo Kaluza, Andrea Kölzsch, Michael T. Gastner, and Bernd Blasius*
The paper examines the global network of cargo ship movements, which plays a crucial role in international trade and the spread of invasive species. Using data from 16,363 cargo ships in 2007, the authors construct a network of links between ports, revealing several unique features. The network is characterized by a small-world topology, with a heavy-tailed distribution of port connectivity and load transport. Most ships are categorized into three types: bulk dry carriers, container ships, and oil tankers, each with distinct mobility patterns. Container ships follow regular, repeating routes, while bulk dry carriers and oil tankers move less predictably. The network's multi-layered structure and the differences in movement patterns among ship types highlight the complexity of global trade. The study also compares the network to the gravity model, finding that it captures some broad trends but significantly underestimates the spreading rate of invasive species. The findings improve our understanding of global trade patterns and bioinvasion risks, providing valuable insights for policy decisions.The paper examines the global network of cargo ship movements, which plays a crucial role in international trade and the spread of invasive species. Using data from 16,363 cargo ships in 2007, the authors construct a network of links between ports, revealing several unique features. The network is characterized by a small-world topology, with a heavy-tailed distribution of port connectivity and load transport. Most ships are categorized into three types: bulk dry carriers, container ships, and oil tankers, each with distinct mobility patterns. Container ships follow regular, repeating routes, while bulk dry carriers and oil tankers move less predictably. The network's multi-layered structure and the differences in movement patterns among ship types highlight the complexity of global trade. The study also compares the network to the gravity model, finding that it captures some broad trends but significantly underestimates the spreading rate of invasive species. The findings improve our understanding of global trade patterns and bioinvasion risks, providing valuable insights for policy decisions.
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