Big Data-Assisted Maritime Management: The Relationship between Ship PSC Inspections and Vessel Distress Alarms

¹ Southern Navigation Service Center, Maritime Safety Administration, People's Republic of China, Guangzhou, China
² Guangzhou Water Affairs Engineering Co., LTD. Guangzhou, China
³ Guangzhou Maritime University, Guangzhou, China
⁴ Wuhan University of Engineering Science, Wuhan, China

^a txc@nhhb.org.cn
^* lifang_gzmtu@qq.com

Abstract

Maritime activities play a crucial role in the social and economic development of human societies. Many countries around the world have become powerful as a result of the flourishing maritime activities. However, maritime activities entail high risks, making ship navigation safety a paramount concern for maritime authorities, practitioners, and scholars worldwide. In recent years, the continuous growth in the number and tonnage of vessels, coupled with the increasing density of waterway traffic, has posed a serious threat to maritime safety, leading to a rise in maritime accidents. This paper conducts a comprehensive analysis by examining distress alarm data from the Guangzhou Coastal Radio Station over a decade from 2010 to 2019, and integrating it with Port State Control (PSC) inspection data from the Guangzhou Port Supervision and Inspection Station. The aim is to explore scientific and effective approaches for analyzing the safety status of ship navigation, preemptively preventing maritime accidents, and thereby providing valuable insights for maritime management agencies and navigation security departments to enhance their maritime management capabilities and navigation safety service levels.