Abstract
The focus of this paper is the selection of paths for the maritime transportation of crude oil. In addition to transportation cost, the nodes in a maritime transportation network are always affected by extreme events. Therefore, connectivity reliability must be considered during path selection. In this paper, uncertainty variables are introduced to describe the connectivity reliability of nodes under the influence of extreme events, and an uncertain bi-objective programming model with connectivity reliability maximization and transportation cost minimization as objectives is established for path selection. China’s maritime transportation network for crude oil imports is used as a case study to validate the model, the effects of variations in the model parameters on path selection, transportation cost and connectivity reliability are discussed in the case study. The research results provide a basis on which for government decision makers to better plan crude oil transportation strategies.
Original language | English |
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Pages (from-to) | 567-584 |
Number of pages | 18 |
Journal | Maritime Policy and Management |
Volume | 45 |
Issue number | 5 |
DOIs | |
Publication status | Published - 4 Jul 2018 |
Keywords
- China’s crude oil imports
- Connectivity reliability
- maritime transportation
- path selection
- uncertainty theory
ASJC Scopus subject areas
- Geography, Planning and Development
- Transportation
- Ocean Engineering
- Management, Monitoring, Policy and Law