Study efforts have focused on understanding the behavior of individual ports in the U.S. following episodic disruptions caused by hurricanes. Event driven timelines are analyzed and a method demonstrated for identifying the boundary between recovery and a return to normal operation. The role of ports within a waterway network is also explored through disruptive events with the goal of understanding the changing relative importance of in-network ports. The methods presented, relying on machine learning and big-data techniques provide a uniform, objective, scalable approach to gaging the level of port disruption and the rapidity with which services are restored. The presented methods benefit from the availability of a wide-scale datasource documenting vessel operations that can be applied at a variety of temporal and spatial scales, and is suitable for a variety of disruptive events for which ports must be prepared. Understanding the evolution of ports individually and in context with waterway network through event driven disruption timelines will ultimately inform resilience planning and recovery efforts for managers of ports and waterways.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Measuring Port Disruptions with Automatic Identification System Data


    Contributors:

    Conference:

    15th Triennial International Conference ; 2019 ; Pittsburgh, Pennsylvania


    Published in:

    Ports 2019 ; 311-321


    Publication date :

    2019-09-12




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Measuring Port Disruptions with Automatic Identification System Data

    Scully, Brandan M. / Chambers, Katherine F. | TIBKAT | 2019


    Risk analysis of marine cargoes and major port disruptions

    Gou, Xueni / Lam, Jasmine Siu Lee | Springer Verlag | 2018



    Automatic identification system data to assess container port performances

    Belcore, Orlando Marco / Di Gangi, Massimo / Polimeni, Antonio | Elsevier | 2025

    Free access

    Port ship water gauge automatic measuring device

    FENG CHENG / DUO YIMIN / CUI XIAOLIANG et al. | European Patent Office | 2020

    Free access