In the global economic map, the shipping industry plays an important role. At the same time, it has to face many challenges, especially the thorny issue of risk management. In view of these challenges, this study deeply explores the application value of big data analysis in shipping route optimization and risk management. The research aims to improve the optimization of shipping routes and the accuracy of risk management with the help of big data analysis technology. In order to provide scientific and efficient support for the decision-making of shipping enterprises. On the basis of discussing the traditional means of shipping route optimization and risk management and pointing out their shortcomings, this paper expounds the shipping route optimization strategy and risk management system based on big data in detail. It covers key steps such as data collection, processing, feature extraction, and risk identification, evaluation, early warning and response. The results fully demonstrate the broad prospects of big data analysis in the field of shipping. Future suggestions include strengthening data governance, improving algorithm model, promoting interdisciplinary cooperation, and paying attention to data security and privacy protection.
Jiajun Zhu (Tue,) studied this question.