Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020 |
| Publisher | IEEE |
| Pages | 247-251 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728195032 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020 - Delft, Netherlands Duration: 3 Nov 2020 → 5 Nov 2020 |
Publication series
| Name | 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020 |
|---|
Conference
| Conference | 2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020 |
|---|---|
| Country/Territory | Netherlands |
| City | Delft |
| Period | 3/11/20 → 5/11/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
Keywords
- data visualization
- maritime safety
- risk analysis
- Ship accidents
- statistical analysis
- water transportation
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