Seaports play an important role in the global shipping network. Shipping participants often attach great importance to the measurement of container port connectivity, as it reflects countries' access to world markets. As a result, various port connectivity index systems have been proposed by members of the shipping industry and scholars. In recent years, technological developments especially the advancement of high coverage and real-time Automatic Identification System (AIS) data, have provided a chance to improve the scope and frequency of the existing index systems. An improved system is expected to reflect the dynamic changes in a port's connectivity which may be induced by either local disruptions or shocks in the wider economy. This study builds a monthly container port connectivity index system by applying big data mining techniques, graph theory, and principal component analysis (PCA) to AIS data, taking both port factors and shipping network factors into consideration. AIS records from 2020 are used to calculate the connectivity score of 25 major container ports. We also compare our system with the connectivity index commonly used in the shipping industry, the Liner Shipping Connectivity Index (LSCI). Our results show that the measurement of connectivity can be improved over indices that depend primarily on indicators of traffic volume. Ports like Antwerp and Tanjung Pelepas rank high in the proposed system due to their sound performance on their accessibility and strategic position in the local region instead of their traffic volume. The monthly index system is also proven to reflect timely changes in the shipping industry through its accurate portrayal of changes in port connectivity during the COVID-19 outbreak.

海港在全球航运网络中发挥着重要作用。航运参与者通常非常重视集装箱港口连通性的衡量，因为它反映了各国进入世界市场的情况。因此，航运界人士和学者提出了各种港口连通性指标体系。近年来，技术的发展，特别是高覆盖率和实时自动识别系统（AIS）数据的进步，为提高现有索引系统的范围和频率提供了机会。改进的系统有望反映港口连通性的动态变化，这可能是由局部中断或更广泛经济中的冲击引起的。本研究运用大数据挖掘技术，构建月度集装箱港口连通性指标体系，图论和 AIS 数据的主成分分析 (PCA)，同时考虑港口因素和航运网络因素。2020 年的 AIS 记录用于计算 25 个主要集装箱港口的连通性得分。我们还将我们的系统与航运业常用的连通性指数班轮航运连通性指数 (LSCI) 进行了比较。我们的结果表明，与主要取决于交通量指标的指标相比，连通性的测量可以得到改进。安特卫普和丹戎帕拉帕斯等港口在拟议系统中排名靠前，因为它们在交通便利性和在当地的战略地位而不是交通量方面表现出色。