Highlights A tangible analytical approach to analyze the ship traffic demand and ship traffic spatial–temporal dynamic in port waters by using big AIS data. The autocorrelation models are proposed to depict the maritime traffic spatial–temporal dynamics quantitatively. Several hotspots are found in Singapore port waters where ship speeds are relatively high and vary greatly. The hotspot areas are well coincided with the spatial distribution of ship accidents.

    Abstract This study develops a tangible analytical approach to analyze ship traffic demand and the spatial–temporal dynamics of ship traffic in port waters using big AIS data. By applying the developed approach to the Singapore port waters, we find that the origin-to-destination pairs and navigation routes in the Singapore port waters keep stable over time. Furthermore, there are several hotspot areas in the Singapore Strait where ship sailing speeds are relatively high and ship sailing speeds in a few water areas vary greatly. More interestingly, we find that these hotspot areas well coincide with the spatial distribution of ship accidents.


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    Titel :

    Big AIS data based spatial-temporal analyses of ship traffic in Singapore port waters


    Beteiligte:
    Zhang, Liye (Autor:in) / Meng, Qiang (Autor:in) / Fang Fwa, Tien (Autor:in)


    Erscheinungsdatum :

    2017-07-22


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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