Optimization of Coastal Cruise Lines in China
Abstract
The paper analyzes the current state of the Chinese cruise market and presents the idea of building a business model of coastal cruising. The cruise demand of middle-income families, which includes the desired travel days, ports of call, is surveyed. The data of the previous non-cruise travels and the data of future cruises of middle-income families are used to develop a model designed to identify the maximum passenger volume with minimum operating costs while taking cruise itineraries and schedules into account. A matrix coding genetic algorithm was designed to solve the model. The case study found that a voyage of 4.79 days results in equilibrium, that the annual demand is 200,840 passengers, and that the daily voyage cost is 0.843 million Yuan.References
Larsen S, Wolff K, Marnburg E, Torvald Ø. Belly full, purse closed: Cruise line passengers' expenditures. Tourism Management Perspectives. 2013 Apr;6:142-148.
Dowling R, editor. Cruise ship tourism. CABI; 2006.
The research group of China cruise development report. 2008-2009 China Cruise Industry Development Report [in Chinese]. Beijing: China Cruise & Yacht Industry Association, et al; 2009.
The research group of China cruise development report. 2009-2010 China Cruise Industry Development Report [in Chinese]. Shanghai: China Cruise & Yacht Industry Association, et al; 2010.
China Cruise & Yacht Industry Association, et al. 2010-2011 China Cruise Industry Development Report [in Chinese]. Shanghai: China Cruise & Yacht Industry Association, et al; 2011.
China Cruise & Yacht Industry Association. 2011-2012 Report on the development of Chinese cruise industry [in Chinese]. Shanghai: Pujiang Education press; 2012.
Ministry of Transport of the People’s Republic of China. Transport development in the 12th ‘Five-Year-Plan’ period [in Chinese]. Beijing: Ministry of Transport of the People’s Republic of China; 2011.
Heung VCS, Wong MY, Hailin Q. Airport-restaurant service quality in Hong Kong: An application of SERVQUAL. The Cornell Hotel and Restaurant Administration Quarterly, 2000;41(3):86-96.
Qu H, Ping EWY. A service performance model of Hong Kong cruise travelers’ motivation factors and satisfaction. Tourism Management. 1999;20(2):237-244. [10] Teye VB, Leclerc D. Product and service delivery satisfaction among North American cruise passengers. Tourism Management. 1998;19(2):153-160.
Duman T, Mattila AS. The role of affective factors on perceived cruise vacation value. Tourism Management. 2005;26(3):311-323.
Klein RA. Cruise ship squeeze: The new pirates of the seven seas. New Society Publishers; 2005.
Johnson D. Environmentally sustainable cruise tourism: a reality check. Marine Policy. 2002;26(4):261-270.
Hwang J, Han H. Examining strategies for maximizing and utilizing brand prestige in the luxury cruise industry. Tourism Management. 2014;40(2):244-259.
Henthorne TL. An analysis of expenditures by cruise ship passengers in Jamaica. Journal of Travel Research. 2000;38(3):246-250.
Lee S, Ramdeen C. Cruise ship itineraries and occupancy rates. Tourism Management. 2013;34:236-237.
Dickinson B, Vladimir A. Selling the sea: An Inside Look at the Cruise Industry, 2nd edition. Wiley; 2008.
Hersh M, Ladany SP. Optimal seat allocation for flights with one intermediate stop. Computers & Operations Research. 1978;5(1):31-37.
Leong TY, Ladany SP. Optimal cruise itinerary design development. International Journal of Services Technology and Management. 2001;2(1):130-141.
Rodrigue JP, Notteboom T. The geography of cruises: Itineraries, not destinations. Applied Geography. 2013;38:31-42.
Véronneau S, Roy J. Global service supply chains: An empirical study of current practices and challenges of a cruise line corporation. Tourism Management. 2009;30(1):128-139.
Luo PC, Zhang YY, She SF. Study of SWOT Analysis and Countermeasures on Cruise Tourism in the West Coast of the Straits Economic Zone [in Chinese]. Journal of Chongqing Normal University(Natural Science). 2011 Jan;1(28):82-87.
Zhang FF, Fang BS. Prospect analysis of Qingdao cruise tourism [in Chinese]. China Water Transport (Theory Edition). 2006 Jun;6(4):24-26.
Sun RH, Ye XL. Study on the development of cruise tourism market in Shanghai [in Chinese]. Inquiry into Economic Issues. 2007;3:165-169.
Wang GL, Lou JJ. Marketing location of international cruise liner companies and its inspiration to Shanghai [in Chinese]. Journal of Henan Business College. 2008;4(21):59-64.
Yao BZ, Hu P, Lu XH, Gao JJ, Zhang MH. Transit network design based on travel time reliability. Transportation Research Part C. 2014;43:233-248.
Yao BZ, Hu P, Zhang MH, Tian XM. Improved Ant Colony Optimization for Seafood Product Delivery Routing Problem. Promet – Traffic & Transportation. 2014;26(1):1-10.
Yu B, Peng ZX, Wang KM, Kong L, Cui Y, Yao BZ. Optimization method for line planning and operation strategy of waterbus: the case of Zhoushan city. Operational Research. 2015;15(1):25-49.
Andriotis K, Agiomirgianakis G. Cruise visitors' experience in a Mediterranean port of call. International Journal of Tourism Research. 2010;12(4):390-404.
Gibson P, Bentley M. A Study of Impacts-Cruise Tourism and the South West of England. Journal of Travel & Tourism Marketing. 2007;20(3-4):63-77.
Yao BZ, Yu B, Gao JJ, Zhang MH. An improved particle swarm optimization for carton heterogeneous vehicle routing problem with a collection depot. Annals of Operations Research. 2016;242(2):303-320.
Zhang YD, Wang SH, Phillips P, Ji GL. Binary PSO with Mutation Operator for Feature Selection using Decision Tree applied to Spam Detection. Knowledge-Based Systems. 2014;64:22-31.
Zhang YD, Wu LN. Crop Classification by forward neural network with adaptive chaotic particle swarm optimization. Sensors. 2011;11(5):4721-4743.
Yu B, Kong L, Sun Y, Yao BZ, Gao ZY. A bi-level programming for bus lane network design. Transportation Research Part C. 2015;55:310-327.
Yao BZ, Chen C, Cao QD, Jin L, Zhang MH, Zhu HB, Yu B. Short-term traffic speed prediction for an urban corridor. Computer-Aided Civil And Infrastructure Engineering, accept. 2016. doi: 10.1111/mice.12221.
Yu B, Zhu HB, Cai WJ, Ma N, Yao BZ. Two-phase Optimization Approach to Transit Hub Location--the Case of
Dalian. Journal of Transport Geography. 2013;33:62-71.
Wang H, Li HP, Liu JF. Modified genetic algorithm for TSP based on matrix coding. Journal of Leshan Teachers College. 2008;12:47-50.
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