TY - GEN
T1 - Statistical Analysis of the Characteristics of Ship Accidents for Chongqing Maritime Safety Administration District
AU - Xue, Jie
AU - Papadimitriou, Eleonora
AU - Wu, Chaozhong
AU - Van Gelder, P. H.A.J.M.
PY - 2020
Y1 - 2020
N2 - The Yangtze River is the first of China and the third-longest river in the world. It is the most developed inland water transportation system in China. Chongqing, located in the upstream of the Three Gorges Project, is not only the gateway of the industrial and commercial center of China but also the most abundant water and intermodal inland hub and material distribution center in the southwest. Frequent water traffic accidents pose severe threats to the safety of human life and property and the water environment as well as bring adverse effects on social stability. Therefore, based on the ten years of statistical data of ship accidents in 2009-2018 from the Chongqing Maritime Safety Administration (MSA), this paper summarizes the characteristics of the spatiotemporal distribution of accidents through statistical analysis of the historical data. Moreover, it proposes accident prevention and supervision methods to provide decision support for maritime safety. This research is of great significance to the prevention and control of water traffic accidents in this region.
AB - The Yangtze River is the first of China and the third-longest river in the world. It is the most developed inland water transportation system in China. Chongqing, located in the upstream of the Three Gorges Project, is not only the gateway of the industrial and commercial center of China but also the most abundant water and intermodal inland hub and material distribution center in the southwest. Frequent water traffic accidents pose severe threats to the safety of human life and property and the water environment as well as bring adverse effects on social stability. Therefore, based on the ten years of statistical data of ship accidents in 2009-2018 from the Chongqing Maritime Safety Administration (MSA), this paper summarizes the characteristics of the spatiotemporal distribution of accidents through statistical analysis of the historical data. Moreover, it proposes accident prevention and supervision methods to provide decision support for maritime safety. This research is of great significance to the prevention and control of water traffic accidents in this region.
KW - data visualization
KW - maritime safety
KW - risk analysis
KW - Ship accidents
KW - statistical analysis
KW - water transportation
UR - http://www.scopus.com/inward/record.url?scp=85099543208&partnerID=8YFLogxK
U2 - 10.1109/FISTS46898.2020.9264867
DO - 10.1109/FISTS46898.2020.9264867
M3 - Conference contribution
AN - SCOPUS:85099543208
T3 - 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020
SP - 247
EP - 251
BT - 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020
Y2 - 3 November 2020 through 5 November 2020
ER -
