基于船舶大数据的港口装卸效率值计算方法

Translated title of the contribution: Estimation Method of Port Handling Efficiency Value Based on Ship Big Data

Shi Guan Liao, Dong Yang, Xi Wen Bai, Jin Xian Weng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

The handling efficiency of container port is one of the key indicators that reflects the port's competitiveness and attracts shipping companies to call. To accurately estimate the port's handling efficiency value, this paper proposes a method with Greatmaps (GMap) visualization technology to calculate the port's handling efficiency value based on the data of the Automatic Identification System (AIS). Empirically, this method was applied to estimate the monthly handling efficiency values of Shanghai Port, Singapore Port, Shenzhen Port and Ningbo-Zhoushan Port, the average monthly handling efficiency values of the four ports in the first half of 2017 were respectively 2.85, 1.87, 2.17 and 2.10. Based on the obtained values in the first half of the year, the study managed to estimate the monthly throughput for the above four ports in the second half of the year, with the average estimation error being respectively 2.77%, 2.06%, 2.93% and 2.46%. The results show that the method can generate the ports' handling efficiency value with good accuracy and can be used to infer and monitor the port's throughput in real time. Further, results calculated by the method could provide a theoretical reference for the port to improve the performance and help the shipping company to choose the port strategy, and ultimately improve the port's digital management level.

Translated title of the contributionEstimation Method of Port Handling Efficiency Value Based on Ship Big Data
Original languageChinese (Simplified)
Pages (from-to)217-223
Number of pages7
JournalJiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology
Volume21
Issue number2
DOIs
Publication statusPublished - Apr 2021

Keywords

  • AIS data
  • Container port
  • GMap visualization technology
  • Port handling efficiency
  • Waterway transportation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modelling and Simulation
  • Transportation
  • Computer Science Applications

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