Network design and delivery scheme optimisation under integrated air-rail freight transportation
To promote the domestic economy and reduce transport costs, it is necessary for Chinese express companies to adopt the integrated air-rail freight transport mode. Thus, a major challenge is to determine how to efficiently use three kinds of transport vehicles: cargo aircraft, passenger aircraft bellies and high-speed train (HST) bellies. Therefore, in this paper, a bi-level model is constructed to allow an express company to optimise its integrated air-rail transport network and parcel delivery scheme. A hybrid algorithm is developed for solving the model. Data from the logistics company SF Express are used for a case study. From the calculated results, we find that the HST transport mode plays the main role, it can replace the passenger aircraft transportation to a large extent. Moreover, the total transport cost depends on the rental price of HST space largely. Furthermore, the timeliness requirement can largely influence the HST transportation ratio.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13675567
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Supplemental Notes:
- © 2021 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
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Authors:
- Yu, Shunan
- Jiang, Yonglei
- Publication Date: 2024-3
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 411-427
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Serial:
- International Journal of Logistics Research and Applications
- Volume: 27
- Issue Number: 3
- Publisher: Taylor & Francis
- ISSN: 1367-5567
- EISSN: 1469-848X
- Serial URL: http://www.tandfonline.com/toc/cjol20/current
Subject/Index Terms
- TRT Terms: Cargo aircraft; Freight traffic; Freight trains; Intermodal transportation
- Geographic Terms: China
- Subject Areas: Aviation; Freight Transportation; Operations and Traffic Management; Planning and Forecasting; Railroads;
Filing Info
- Accession Number: 01913058
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 26 2024 2:41PM