Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/99577
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Logistics and Maritime Studies | en_US |
| dc.creator | Wang, S | en_US |
| dc.creator | Jia, H | en_US |
| dc.creator | Lu, J | en_US |
| dc.creator | Yang, D | en_US |
| dc.date.accessioned | 2023-07-14T06:11:20Z | - |
| dc.date.available | 2023-07-14T06:11:20Z | - |
| dc.identifier.issn | 0951-8320 | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/99577 | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Ltd | en_US |
| dc.rights | © 2023 Elsevier Ltd. All rights reserved. | en_US |
| dc.rights | © 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
| dc.rights | The following publication Wang, S., Jia, H., Lu, J., & Yang, D. (2023). Crude oil transportation route choices: A connectivity reliability-based approach. Reliability Engineering and System Safety, 235, 109254 is available at https://doi.org/10.1016/j.ress.2023.109254. | en_US |
| dc.subject | Connectivity reliability | en_US |
| dc.subject | Energy transportation | en_US |
| dc.subject | Shipping route choices | en_US |
| dc.subject | Maritime policy | en_US |
| dc.title | Crude oil transportation route choices : a connectivity reliability-based approach | en_US |
| dc.type | Journal/Magazine Article | en_US |
| dc.identifier.volume | 235 | en_US |
| dc.identifier.doi | 10.1016/j.ress.2023.109254 | en_US |
| dcterms.abstract | The crucial nodes of maritime transportation routes, such as the Strait of Malacca and the Suez Canal, remain vulnerable to various risk events including political instability and military conflict, piracy and terrorism, and vessel incidents. Existing shipping route choice studies often consider transportation costs and environmental effects, but ignore the connectivity reliability of these straits and canals. In this paper, we develop a bi-objective programming model to determine maritime transportation routes for crude oil, taking both transportation costs and connectivity reliability into consideration. We propose a method to measure the connectivity reliability of straits and canals, which captures the dependence structure of risk events. We apply our model to evaluate Gwadar Port using data covering 1999 to 2021, which is being built to enhance the reliability of Chinese oil imports. We find that the Gwadar Port can substitute for the Lombok Strait only if its connectivity reliability can be improved by 2.4%. In order to fully exploit the strategic advantages of Gwadar Port in substituting for other key straits, its connectivity reliability must be improved by 12.2%. Given the varying dependence of risk events identified in our model, our findings provide rich managerial and policy implications for connectivity reliability improvement. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | Reliability engineering and system safety, July 2023, v. 235, 109254 | en_US |
| dcterms.isPartOf | Reliability engineering and system safety | en_US |
| dcterms.issued | 2023-07 | - |
| dc.identifier.scopus | 2-s2.0-85151297504 | - |
| dc.identifier.eissn | 1879-0836 | en_US |
| dc.identifier.artn | 109254 | en_US |
| dc.description.validate | 202307 bcch | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | a2188 | - |
| dc.identifier.SubFormID | 46941 | - |
| dc.description.fundingSource | RGC | en_US |
| dc.description.fundingSource | Others | en_US |
| dc.description.fundingText | National Natural Science Foundation of China; Social Science Foundation of Liaoning Province; Fundamental Research Funds for the Central Universities | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Journal/Magazine Article | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Wang_Crude_Oil_Transportation.pdf | Pre-Published version | 1.69 MB | Adobe PDF | View/Open |
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