From ports to routes: Extracting multi-scale shipping networks using massive AIS data
Published in Ocean Engineering, 2024
Maritime transportation is a critical component of global trade and commerce. To ensure maritime safety, fixed shipping routing has been established in many complex waters. However, there is currently a lack of comprehensive digital shipping networks in wide-range maritime areas. To better understand the navigational patterns, this paper proposes a data-driven extraction framework for multi-scale shipping networks, including port-, node-, and route-level shipping networks. It is essentially a hierarchical approach, which progresses from port to route. In particular, for the extraction of port-level shipping networks, the clustering in quest (CLIQUE) and alpha-shapes algorithms are employed to accurately extract the boundaries and spatial extents of individual ports. For the node-level shipping network extraction, an adaptive Douglas-Peucker algorithm is developed to identify crucial feature points, and CLIQUE?
Recommended citation: Liu, R. W., Zhou, S., Liang, M., Gao, R., & Wang, H. (2024). From ports to routes: Extracting multi-scale shipping networks using massive AIS data.?cean Engineering,?11, 118969.
Recommended citation: Liu, R. W., Zhou, S., Liang, M., Gao, R., & Wang, H. (2024). From ports to routes: Extracting multi-scale shipping networks using massive AIS data.?cean Engineering,?11, 118969. https://doi.org/10.1016/j.oceaneng.2024.118969