A Path-based Approach to Analyzing the Global Liner Shipping Network

TL;DR

This paper introduces a path-based methodology for analyzing liner shipping routes, leveraging sequential route data to better understand network structure, core nodes, and centrality measures in the global maritime shipping network.

Contribution

It develops a novel path-based analysis approach that utilizes sequential route data to improve understanding of the shipping network's structure and key nodes.

Findings

Revealed differences between route-based and traditional network analyses.

Identified key port nodes using new betweenness centrality measures.

Enhanced understanding of the network's core structure.

Abstract

The maritime shipping network is the backbone of global trade. Data about the movement of cargo through this network comes in various forms, from ship-level Automatic Identification System (AIS) data, to aggregated bilateral trade volume statistics. Multiple network representations of the shipping system can be derived from any one data source, each of which has advantages and disadvantages. In this work, we examine data in the form of liner shipping service routes, a list of walks through the port-to-port network aggregated from individual shipping companies by a large shipping logistics database. This data is inherently sequential, in that each route represents a sequence of ports called upon by a cargo ship. Previous work has analyzed this data without taking full advantage of the sequential information. Our contribution is to develop a path-based methodology for analyzing liner shipping service route data, computing navigational trajectories through the network that respect the routes and comparing these paths with those computed using other network representations of the same data. We further use these trajectories to re-analyze the role of a previously-identified structural core through the network, as well as to define and analyze a measure of betweenness centrality for nodes and edges.