Citation

Chen J, Zheng H, Wei L, Wan Z, Ren R, Li J, Li H, Bian W, Gao M, Bai Y. Environ. Pollut. 2019; ePub(ePub): ePub.

Affiliation

Center for Advanced Infrastructure and Transportation, Rutgers University, Piscataway, NJ, 08854, USA. Electronic address: yunbai.cait@rutgers.edu.

Copyright

(Copyright © 2019, Elsevier Publishing)

DOI

10.1016/j.envpol.2019.113582

PMID

31753640

Abstract

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.

Copyright © 2019 Elsevier Ltd. All rights reserved.

Language: en

Keywords

Dangerous goods; Factor diagnosis; Future governance; Marine pollution; Port accidents