A Study on Improving the Efficiency of Cruise Ship Cabin Space Layout Based on Multivariate Statistical Analysis

被引:0
|
作者
Gong, Jiping [1 ]
Jiang, Rui [1 ]
机构
[1] Cruise and Art Design, Department, Jiangsu Maritime Institute, Jiangsu, Nanjing,211199, China
关键词
D O I
10.2478/amns-2024-2363
中图分类号
学科分类号
摘要
In this paper, we use word frequency semantic analysis and sentiment analysis to analyze tourists’ review texts of four different brands of cruise ships and extract cruise design elements such as functional service parameters, schedule parameters, and affordable parameters from them. The evaluation factor set of the cruise ship spatial layout division scheme is constructed, and the correlation between the evaluation factors is analyzed through multivariate statistical analysis to establish a comprehensive evaluation method of the scheme in order to determine the optimal module division scheme. After analysis, it can be seen that functional services (service, catering, room, entertainment) are the most concerned elements for tourists, and older people and children are an important part of tourists. Residential functional areas should be concentrated on the 5th-11th floors. The overall module division scheme 3 (module division combination [1,2], [3], [4], [5,6,7,8,9], [10], [11], [12,13], [14]) of the passenger cabin has a correlation of 1 with the efficiency of the spatial layout, and the weight value reaches 0.283, which is the optimal scheme. The effective space utilization rate of cabin interior space layout design scheme 3 is 0.483. The method proposed in this paper, which enhances the efficiency of cabin space layout on cruise ships, has practical significance. © 2024 Jiping Gong and Rui Jiang, published by Sciendo.
引用
收藏
相关论文
共 50 条
  • [21] Layout optimization and support system of territorial space: An analysis framework based on resource efficiency
    Jin G.
    Guo B.
    Cheng J.
    Deng X.
    Wu F.
    Dili Xuebao/Acta Geographica Sinica, 2022, 77 (03): : 534 - 546
  • [22] Human-induced noise study for cruise cabin: Numerical analysis and experimental validation
    Chen, Luyun
    Zuo, Yingying
    Yang, Deqing
    OCEAN ENGINEERING, 2023, 286
  • [23] STUDY FOR THE SPACE CRAFT FOR INTERPLANETARY CRUISE (3) EXAMINATION OF THE THERMAL EFFICIENCY
    Yoshida, Yutaka
    Honma, Yuji
    Narabayashi, Tadashi
    Shimazu, Yoichiro
    ICONE16: PROCEEDING OF THE 16TH INTERNATIONAL CONFERENCE ON NUCLEAR ENGINEERING - 2008, VOL 2, 2008, : 839 - 845
  • [24] The study of the classified model for physical fitness based on multivariate statistical of analysis
    Yih-Tzuu, Wang
    June-Horng, Shiesh
    Proceedings of the Third International Conference on Information and Management Sciences, 2004, 3 : 369 - 373
  • [25] Comparative Study of Fault Detection Algorithm Based on Multivariate Statistical Analysis
    Zhang, Shuyu
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES FOR RAIL TRANSPORTATION (EITRT) 2017: TRANSPORTATION, 2018, 483 : 371 - 378
  • [26] A study on the psychological assessment of young children based on multivariate statistical analysis
    Tang S.
    Cao Y.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [27] Combustion efficiency analysis and thermal radiation risk quantification for spill fire in sealed ship cabin
    Wang, Zhe
    Wang, Yuancheng
    Shi, Congling
    Liu, Jiahao
    Wang, Jinhui
    Li, Junyi
    Ren, Fei
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2025, 208
  • [28] Improving the robustness of particle size analysis by multivariate statistical process control
    Mattila, Marko
    Saloheimo, Kari
    Koskinen, Kari
    PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION, 2007, 24 (03) : 173 - 183
  • [29] Shuttle tanker fuel consumption numerical analysis for improving ship efficiency
    Schiller R.A.
    Ruggeri F.
    Nishimoto K.
    Sampaio C.M.P.
    da Fonseca R.P.
    Schiller, Rodrigo Achilles (digao.schiller@gmail.com), 2017, Springer Science and Business Media Deutschland GmbH (12) : 80 - 92
  • [30] Study on Fault Detection Algorithms for Rolling Bearing based on Multivariate Statistical Analysis
    Hwang, Hae Seong
    Park, Hyung Joon
    Kang, Hyo Lim
    Lee, Kwang Ki
    Han, Seung Ho
    TRANSACTIONS OF THE KOREAN SOCIETY OF MECHANICAL ENGINEERS A, 2022, 46 (06) : 601 - 609