Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107420
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Logistics and Maritime Studies | en_US |
dc.creator | Zhen, L | en_US |
dc.creator | Yang, Z | en_US |
dc.creator | Wang, S | en_US |
dc.creator | Hu, H | en_US |
dc.creator | Peng, Chew, E | en_US |
dc.creator | Fan, T | en_US |
dc.date.accessioned | 2024-06-20T07:11:45Z | - |
dc.date.available | 2024-06-20T07:11:45Z | - |
dc.identifier.issn | 0968-090X | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/107420 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2024 Elsevier Ltd. All rights reserved. | en_US |
dc.rights | © 2024. 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 Zhen, L., Yang, Z., Wang, S., Hu, H., Chew, E. P., & Fan, T. (2024). Integrated planning model for two-story container ports. Transportation Research Part C: Emerging Technologies, 160, 104535 is available at https://doi.org/10.1016/j.trc.2024.104535. | en_US |
dc.subject | Berth allocation | en_US |
dc.subject | Next-generation container ports | en_US |
dc.subject | Port operations | en_US |
dc.subject | Yard management | en_US |
dc.title | Integrated planning model for two-story container ports | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 160 | en_US |
dc.identifier.doi | 10.1016/j.trc.2024.104535 | en_US |
dcterms.abstract | This study introduces a novel two-stage stochastic programming model tailored for the unique infrastructure of two-story container ports, a design that significantly enhances land productivity and operational efficiency. Our model, addressing uncertainties in vessel arrival times and container loads, incorporates advanced features like innovative quay cranes, rooftop solar panels, and dense container storage. An efficient metaheuristic is designed for large-scale applications, demonstrating a 25.63% reduction in operational costs compared to traditional decision rules. We also distill key managerial insights, notably the advantage of adopting solar power technology with consistent energy output throughout the day, offering practical guidance for port operators contemplating vertical expansion strategies. | en_US |
dcterms.accessRights | embargoed access | en_US |
dcterms.bibliographicCitation | Transportation research. Part C, Emerging technologies, Mar. 2024, v. 160, 104535 | en_US |
dcterms.isPartOf | Transportation research. Part C, Emerging technologies | en_US |
dcterms.issued | 2024-03 | - |
dc.identifier.scopus | 2-s2.0-85186268741 | - |
dc.identifier.artn | 104535 | en_US |
dc.description.validate | 202406 bcwh | en_US |
dc.description.oa | Not applicable | en_US |
dc.identifier.FolderNumber | a2857 | - |
dc.identifier.SubFormID | 48581 | - |
dc.description.fundingSource | RGC | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China | en_US |
dc.description.pubStatus | Published | en_US |
dc.date.embargo | 2026-03-31 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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