TY - JOUR
T1 - Factor diagnosis and future governance of dangerous goods accidents in China's ports
AU - Chen, Jihong
AU - Zheng, Huiying
AU - Wei, Ling
AU - Wan, Zheng
AU - Ren, Ruisi
AU - Li, Jie
AU - Li, Haoqiang
AU - Bian, Wentao
AU - Gao, Manjia
AU - Bai, Yun
N1 - Publisher Copyright:
© 2019 Elsevier Ltd
PY - 2020/2
Y1 - 2020/2
N2 - Dangerous goods are particularly hazardous, as they can be flammable, explosive, and toxic. These characteristics make them vulnerable to accidents, and such mishaps during port operations can lead to massive economic losses and even deaths. It is, therefore, necessary and important to analyze and study the dangerous goods accidents at ports, so as to identify major factors and prevent them. Formal concept analysis (FCA) is a powerful tool for rule extraction. This paper introduces FCA along with relevant documents and case studies to analyze the dangerous goods accidents at China's ports, building a concept lattice model of dangerous goods accidents at China's ports, and reduces the condition attributes to come up with three key attributes of dangerous goods accidents at China's ports: warehousing management, facilities and equipment, goods registration and extract four effective diagnostic rules for dangerous goods accidents at ports. This paper proposes corresponding governance strategies to the rules of dangerous goods accidents, which can significantly prevent and manage dangerous goods accidents at China's ports in the future. In the future, the concept scale can be introduced to study the problem that the influencing factor is multi-valued attribute so as to expand the scope of research.
AB - Dangerous goods are particularly hazardous, as they can be flammable, explosive, and toxic. These characteristics make them vulnerable to accidents, and such mishaps during port operations can lead to massive economic losses and even deaths. It is, therefore, necessary and important to analyze and study the dangerous goods accidents at ports, so as to identify major factors and prevent them. Formal concept analysis (FCA) is a powerful tool for rule extraction. This paper introduces FCA along with relevant documents and case studies to analyze the dangerous goods accidents at China's ports, building a concept lattice model of dangerous goods accidents at China's ports, and reduces the condition attributes to come up with three key attributes of dangerous goods accidents at China's ports: warehousing management, facilities and equipment, goods registration and extract four effective diagnostic rules for dangerous goods accidents at ports. This paper proposes corresponding governance strategies to the rules of dangerous goods accidents, which can significantly prevent and manage dangerous goods accidents at China's ports in the future. In the future, the concept scale can be introduced to study the problem that the influencing factor is multi-valued attribute so as to expand the scope of research.
KW - Dangerous goods
KW - Factor diagnosis
KW - Future governance
KW - Marine pollution
KW - Port accidents
UR - https://www.scopus.com/pages/publications/85075463373
UR - https://www.scopus.com/pages/publications/85075463373#tab=citedBy
U2 - 10.1016/j.envpol.2019.113582
DO - 10.1016/j.envpol.2019.113582
M3 - Article
C2 - 31753640
AN - SCOPUS:85075463373
SN - 0269-7491
VL - 257
JO - Environmental Pollution
JF - Environmental Pollution
M1 - 113582
ER -