A novel oil port risk and efficiency performance measured by using AIS data and maritime open data: The case of Guangzhou, China. (15th November 2020)

• Record Type: Journal Article
• Authors: Zhong, Huiling; Lin, Yishu; Yip, Tsz Leung; Cai, Wenxue; Gu, Yimiao
• Is Part Of: Ocean engineering. Volume 216(2020)
• Publication Date: 2020-11-15
• Subjects: AIS data -- Quantitative risk analysis -- Port risk -- Efficiency performance -- Oil port; Ocean engineering -- Periodicals; Ocean engineering; Periodicals; 620.4162
• DOI: 10.1016/j.oceaneng.2020.107859
• Languages: English
• ISSNs: 0029-8018

Abstract

Abstract: 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. Graphical abstract: Image 1 Highlights: A novel real-time, low-cost and independent method to estimate oil port performance indicators is presented. Ship traffic, berth utilization and allocation, handling efficiency, throughput, and oil spill risk are estimated. A case study of Guangzhou's oil port is applied to verify this novel method. First work on real-time oil port performance measurement using AIS and maritime open data instead of statistical data. To support oil port operation optimization, risk analysis and control.