Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/78548
Title: A connectivity reliability-cost approach for path selection in the maritime transportation of China's crude oil imports
Authors: Wang, S
Yang, D 
Lu, J
Keywords: Connectivity reliability
Path selection
Maritime transportation
China's crude oil imports
Uncertainty theory
Issue Date: 2018
Publisher: Routledge, Taylor & Francis Group
Source: Maritime policy and management, 2018, v. 45, no. 5, p. 567-584 How to cite?
Journal: Maritime policy and management 
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.
URI: http://hdl.handle.net/10397/78548
ISSN: 0308-8839
EISSN: 1464-5254
DOI: 10.1080/03088839.2018.1445308
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