Use of HFACS and Bayesian network for human and organizational factors analysis of ship collision accidents in the Yangtze River

2021 ◽  
pp. 1-15
Author(s):  
Yaling Li ◽  
Zhiyou Cheng ◽  
Tsz Leung Yip ◽  
Xiaobiao Fan ◽  
Bing Wu
Keyword(s):  
Bayesian Network ◽  
Yangtze River ◽  
Organizational Factors ◽  
The Yangtze River ◽  
Factors Analysis ◽  
Ship Collision ◽  
Human And Organizational Factors

scholarly journals A Spatiotemporal Statistical Method of Ship Domain in the Inland Waters Driven by Trajectory Data

2021 ◽  
Vol 9 (4) ◽  
pp. 410
Author(s):  
Fan Zhang ◽  
Xin Peng ◽  
Liang Huang ◽  
Man Zhu ◽  
Yuanqiao Wen ◽  
...  
Keyword(s):  
Statistical Method ◽  
Yangtze River ◽  
Domain Size ◽  
Inland Waters ◽  
The Yangtze River ◽  
Trajectory Data ◽  
Different Types ◽  
Dry Seasons ◽  
Ship Collision ◽  
Shape And Size

In this study, a method for dynamically establishing ship domain in inland waters is proposed to help make decisions about ship collision avoidance. The surrounding waters of the target ship are divided to grids and then calculating the grid densities of ships in each moment to determine the shape and size of ship domain of different types of ships. At last, based on the spatiotemporal statistical method, the characteristics of ship domains of different types of ship in different navigational environments were analyzed. The proposed method is applied to establish ship domains of different types of ship in Wuhan section of the Yangtze River in January, February, July, and August in 2014. The results show that the size of ship domain increases as the ship size increases in each month. The domain size is significantly influenced by the water level, and the ship domain size in dry seasons is larger than in the wet seasons of inland waters.

The Impact Factors Analysis of the Continuous Safety of the Yangtze River Shipping

2013 ◽  
Vol 655-657 ◽  
pp. 2279-2283
Author(s):  
Lu Wang ◽  
Qing Liu ◽  
Kai Jin Xu ◽  
Xiao Li Xu
Keyword(s):  
Continuous Improvement ◽  
Yangtze River ◽  
Safety Management ◽  
Gray Relational Analysis ◽  
Impact Factors ◽  
The Yangtze River ◽  
Safety Standards ◽  
Relational Analysis ◽  
Factors Analysis ◽  
The Impact

This paper aims to analyze factors affect the continuous safety of the Yangtze River shipping, it studied the connotation and feature of continuous safety, and based on which selecting safety input, human behavior, safety management, safety state, safety culture as the main impact aspects, using the gray relational analysis to extract the key impact factors belong to the abovementioned five aspects. The result shows that safety management, safety input and safety state have bigger impact on sustainable safety state and continuous improvement of system safety standards.

A Mutual Information-Based Bayesian Network Model for Consequence Estimation of Navigational Accidents in the Yangtze River

2019 ◽  
Vol 73 (3) ◽  
pp. 559-580 ◽  
Author(s):  
Bing Wu ◽  
Tsz Leung Yip ◽  
Xinping Yan ◽  
Zhe Mao
Keyword(s):  
Resource Allocation ◽  
Mutual Information ◽  
Bayesian Network ◽  
Yangtze River ◽  
Safety Assessment ◽  
The Yangtze River ◽  
Bayesian Network Model ◽  
Formal Safety Assessment ◽  
Network Method ◽  
Graphical Structure

Navigational accidents (collisions and groundings) account for approximately 85% of mari-time accidents, and consequence estimation for such accidents is essential for both emergency resource allocation when such accidents occur and for risk management in the framework of a formal safety assessment. As the traditional Bayesian network requires expert judgement to develop the graphical structure, this paper proposes a mutual information-based Bayesian network method to reduce the requirement for expert judgements. The central premise of the proposed Bayesian network method involves calculating mutual information to obtain the quantitative element among multiple influencing factors. Seven-hundred and ninety-seven historical navigational accident records from 2006 to 2013 were used to validate the methodology. It is anticipated the model will provide a practical and reasonable method for consequence estimation of navigational accidents.

Using multi-medium factors analysis to assess heavy metal health risks along the Yangtze River in Nanjing, Southeast China

2018 ◽  
Vol 243 ◽  
pp. 1047-1056 ◽  
Author(s):  
Huifeng Wang ◽  
Qiumei Wu ◽  
Wenyou Hu ◽  
Biao Huang ◽  
Lurui Dong ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Health Risks ◽  
Yangtze River ◽  
The Yangtze River ◽  
Southeast China ◽  
Factors Analysis
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