Title page
Contents
Abstract / Résumé 4
1. Introduction 6
2. AIS data 8
3. Past research using AIS data 10
4. Methodology 11
5. Monitoring port activity 22
6. First insights on maritime trade 25
7. A user-friendly dashboard 32
8. Conclusions 33
References 34
Table 1. Key fields from static AIS messages 8
Table 2. Key fields from dynamic AIS messages 9
Table 3. Format and accuracy levels of longitudes and latitudes 12
Table 4. Average edge lengths and areas for the H3 georeferencing system 13
Table 5. Requirements to be considered a static vessel 14
Table 6. Calculation of polygon coordinates 15
Table 7. Information on vessels and ports from AIS messages 19
Table 8. Indicators to monitor port congestion and maritime trade 20
Table 9. Maritime import and export volumes by vessel types, all countries 28
Figure 1. Visualising the H3 georeferencing system at multiple levels 12
Figure 2. Overview of the port detection methodology 14
Figure 3. Determining the space which a vessel could occupy 15
Figure 4. Visualisation of identified port hexagons at H3 Level 11 in the area surrounding Rotterdam 16
Figure 5. Estimates of port visits for all Irish ports 17
Figure 6. Estimates of port visits for selected Irish ports 17
Figure 7. Validating AIS-based trade volume proxies, G20 economies 20
Figure 8. Felixstowe/Harwich port activity following the 2022 strikes 22
Figure 9. Activity in the port of Iskenderun in the aftermath of the 2022 earthquakes 23
Figure 10. Extension of Tuas terminal in Singapore 24
Figure 11. Global measures of maritime transport 26
Figure 12. Port activity in Ukraine 27
Figure 13. Maritime import and export volume of containers in selected countries 29
Figure 14. Daily transits of the Suez Canal and the Cape of Good Hope 31
Figure 15. January transits of the Suez Canal and the Cape of Good Hope, by vessel type 31
Figure 16. OECD AIS tracking dashboard 32
Boxes
Box 1. Validating methodology: Irish case 16