Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation

Research on the Risk Assessment on the Mass Freight Transportation Network Methods and Application Study

Authors
Yingting Long, Xifu Wang
Corresponding Author
Yingting Long
Available Online April 2015.
DOI
10.2991/icmra-15.2015.43How to use a DOI?
Keywords
Mass Freight Transportation;Risk Assessment;Sea-railway Combined Transportation;Hierarchy Grey Model.
Abstract

In today's society,mass freight logistics demand is growing stronger,market competition is becoming increasingly fierce,and transport uncertainty is increasing. Risk assessment is one of the most important part, it is conducive to the realization of low cost, high quality transport services. In this paper,mass freight transport networks ( mainly on the sea-railway combined transport network ) is an study object of risk assessment, analyze risk factors,design indexes system of assessment, and use the multi hierarchical grey assessment model to risk assessment. Taking Shanxi coal transport network as an example, put forward the improvement method.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
Series
Advances in Computer Science Research
Publication Date
April 2015
ISBN
978-94-62520-76-9
ISSN
2352-538X
DOI
10.2991/icmra-15.2015.43How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yingting Long
AU  - Xifu Wang
PY  - 2015/04
DA  - 2015/04
TI  - Research on the Risk Assessment on the Mass Freight Transportation Network Methods and Application Study
BT  - Proceedings of the 3rd International Conference on Mechatronics, Robotics and Automation
PB  - Atlantis Press
SP  - 213
EP  - 218
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmra-15.2015.43
DO  - 10.2991/icmra-15.2015.43
ID  - Long2015/04
ER  -