A novel oil port risk and efficiency performance measured by using AIS data and maritime open data: The case of Guangzhou, China

Huiling Zhong, Yishu Lin, Tsz Leung Yip, Wenxue Cai, Yimiao Gu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)


This study proposes a novel low-cost and independent method to estimate five key performance indicators: ships traffic; berth utilization and allocation; handling efficiency; throughput; and oil spill risk. The results obtained through this method can be used as reference for oil port operation optimization and risk control. Performance indicators are estimated in real time by using AIS data and maritime open data instead of relying on the manually collected and unverifiable official data. These performance indicators are found to be directly related to the number of handling events and the corresponding handled quantity in the ports. Therefore, this paper first identifies handling events and records the corresponding berthing time and berth. Second, the handling efficiency and time are estimated to calculate the handling quantity of each tanker. Third, the identified handling events and the corresponding handling quantity are aggregated into port level in chronological order so as to extract the key performance indicators. Finally, data of an oil terminal in the Guangzhou are taken as a case to verify the feasibility and reliability of the proposed method.

Original languageEnglish
Article number107859
JournalOcean Engineering
Publication statusPublished - 15 Nov 2020


  • AIS data
  • Efficiency performance
  • Oil port
  • Port risk
  • Quantitative risk analysis

ASJC Scopus subject areas

  • Environmental Engineering
  • Ocean Engineering

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