Multiple Comparison of Green Express Aviation Network Path Optimization Research
This thesis makes the courier industry aviation network path as the research object and the aviation network path optimization as the analysis aspect. With the multiple iterative method and a Dijkstra algorithm for research tools, it considers aviation carbon emissions, transportation distance, and many other factors, and presents a green express aviation network path optimization model. Through the calculation of the optimization model, it is possible to reduce the flight time, shorten the transportation distance, and eventually to reduce carbon emissions through green express aviation network path optimization purposes. Finally, the authors present an example to prove the feasibility and advantages of the method.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789623677578
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Supplemental Notes:
- Abstract reprinted with permission of Hong Kong Polytechnic University.
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Corporate Authors:
Hong Kong Polytechnic University
Department of Logistics and Maritime Studies
Tung International Centre for Maritime Studies
Hong Kong, China -
Authors:
- Ma, Changsong
- Liu, Xiangchao
- Luo, Li
- He, Hua
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Conference:
- International Forum on Shipping, Ports and Airports (IFSPA) 2012: Transport Logistics for Sustainable Growth at a New Level
- Location: Hong Kong , China
- Date: 2012-5-27 to 2012-5-30
- Publication Date: 2012
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 75-85
- Monograph Title: Proceedings of the International Forum on Shipping, Ports and Airports (IFSPA) 2012: Transport Logistics for Sustainable Growth at a New Level
Subject/Index Terms
- TRT Terms: Air cargo; Aircraft exhaust gases; Express service; Iterative methods; Mathematical models; Optimization
- Geographic Terms: China
- Subject Areas: Aviation; Environment; Freight Transportation; Planning and Forecasting; I15: Environment; I72: Traffic and Transport Planning;
Filing Info
- Accession Number: 01482969
- Record Type: Publication
- ISBN: 9789623677578
- Files: TRIS
- Created Date: Jun 3 2013 9:22AM