Estimation Method of Port Handling Efficiency Value Based on Ship Big Data

被引：0
|
作者：
Liao S.-G. [1 ]
Yang D. [3 ]
Bai X.-W. [4 ]
Weng J.-X. [1 ,2 ]
机构：
[1] College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai
[2] College of Transport and Communication, Shanghai Maritime University, Shanghai
[3] Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong
[4] Department of Industrial Engineering, Tsinghua University, Beijing
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2021年 / 21卷 / 02期
基金：
中国国家自然科学基金;
关键词：
AIS data; Container port; GMap visualization technology; Port handling efficiency; Waterway transportation;
D O I：
10.16097/j.cnki.1009-6744.2021.02.031
中图分类号：
学科分类号：
摘要：
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. Copyright © 2021 by Science Press.
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页码：217 / 223
页数：6
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