Abstract
In order to discover the real demand of cruise ship passengers and find the connection between their demand and cruise ship space design, we conduct a questionnaire survey of the passengers’ characteristics and their eating behavior. Through the analysis on the passengers’ eating behavior by using K-means clustering algorithm on the basis of the survey data, different types of their behavior characteristics are recognized, and the connections between the passengers’ characteristics and their eating behavior are discussed. The research results are helpful to understand cruise ship passengers’ eating demand and improve the design concept of cruise ship.
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This work was financially supported by the Hainan Special PhD Scientific Research Foundation of Sanya Yazhou Bay Science and Technology City. The authors are pleased to acknowledge these supports.
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Zhang, T., Cai, W., Hu, M., Yang, G., Fu, W. (2024). Eating Behavior Analysis of Cruise Ship Passengers Based on K-means Clustering Algorithm. In: Pan, L., Wang, Y., Lin, J. (eds) Bio-Inspired Computing: Theories and Applications. BIC-TA 2023. Communications in Computer and Information Science, vol 2062. Springer, Singapore. https://doi.org/10.1007/978-981-97-2275-4_5
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DOI: https://doi.org/10.1007/978-981-97-2275-4_5
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