Statistical Analysis of the Characteristics of Ship Accidents for Chongqing Maritime Safety Administration District

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

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 languageEnglish
Title of host publication2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages247-251
Number of pages5
ISBN (Electronic)9781728195032
DOIs
Publication statusPublished - 2020
Event2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020 - Delft, Netherlands
Duration: 3 Nov 20205 Nov 2020

Publication series

Name2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020

Conference

Conference2020 Forum on Integrated and Sustainable Transportation Systems, FISTS 2020
CountryNetherlands
CityDelft
Period3/11/205/11/20

Keywords

  • data visualization
  • maritime safety
  • risk analysis
  • Ship accidents
  • statistical analysis
  • water transportation

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