TY  - JOUR
PY  - 2019//
TI  - Factor diagnosis and future governance of dangerous goods accidents in China's ports
JO  - Environmental pollution
A1  - Chen, Jihong
A1  - Zheng, Huiying
A1  - Wei, Ling
A1  - Wan, Zheng
A1  - Ren, Ruisi
A1  - Li, Jie
A1  - Li, Haoqiang
A1  - Bian, Wentao
A1  - Gao, Manjia
A1  - Bai, Yun
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
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.<br><br>Copyright © 2019 Elsevier Ltd. All rights reserved.<p />  <p>Language: en</p>
LA  - en
SN  - 0269-7491
UR  - http://dx.doi.org/10.1016/j.envpol.2019.113582
ID  - ref1
ER  -