The effects of emission control area regulations on cruise shipping |
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| Institution: | 1. School of Management, Shanghai University, Shanghai, China;2. Aachener Verfahrenstechnik, Process Systems Engineering, RWTH Aachen University, Templergraben 56, D-52056 Aachen, Germany;1. Maritime Faculty, University of Montenegro, Dobrota 36, 85330 Kotor, Montenegro;2. Department of Maritime Studies, University of Piraeus, Gr. Lambraki 21 & Distomou, Piraeus 185 33, Greece;1. Transport Research Institute, Edinburgh Napier University, Merchiston Campus, EH10 5DT Edinburgh, United Kingdom;2. Logistics and Transport Research Group, Department of Business Administration, School of Business, Economics and Law at University of Gothenburg, P.O. Box 610, SE 405 30 Göteborg, Sweden;1. Norwegian Marine Technology Research Institute (MARINTEK), Trondheim, Norway;2. United European Car Carriers (UECC), Oslo, Norway;3. Norwegian University of Science and Technology (NTNU), Trondheim, Norway;1. University of Turku, Turku School of Economics, Pori Unit, Finland;2. University of Turku, Brahea Center, Centre for Maritime Studies, Finland;1. Department of Industrial Economics and Technology Management, Norwegian University of Science and Technology, Trondheim, Norway;2. Norwegian Marine Technology Research Institute (MARINTEK), Trondheim, Norway;3. Department of Transport, Technical University of Denmark, Lyngby, Denmark;1. Department of Maritime and Transport Technology, Delft University of Technology, Delft, The Netherlands;2. School of Navigation, Wuhan University of Technology, Hubei, China;3. Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong;4. Hubei Key Laboratory of Inland Shipping Technology, China |
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| Abstract: | To control SOx, NOx and particulate matter emission from ships, including cruise ships, emission control areas (ECAs) have been defined by the International Maritime Organization (IMO), which influences cruise planning. This paper investigates a mixed integer programming model to reschedule voyage plans by optimizing speeds, sailing patterns and ports-of-call sequences, hence reducing fuel costs. A tabu search based solution method is developed to solve the model. Computational tests on real-world data of cruise lines are conducted in order to explore the effects of ECA regulations on cruise shipping. The results show that the proposed model can save fuel costs under ECA regulations, and the designed solution method is efficient. |
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| Keywords: | Cruise shipping Emission control areas Itinerary planning Speed optimization Fuel consumption |
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