An Analysis of Consumer Preferences and Optimization for Cruises Departing from Guangzhou Nansha Based on Online Text Data

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Amid rapid global expansion of cruise tourism, luxury cruises have become a key high-end market segment. China’s cruise industry is growing strongly in hubs such as the Guangdong–Hong Kong–Macao Greater Bay Area and the Yangtze River Delta, with the Nansha Free Trade Zone emerging as a major development base. This study applies online review mining to luxury cruises departing from Guangzhou Nansha, collecting Ctrip reviews via Python web scraping. We conduct high-frequency word, social semantic, and sentiment analyses, and summarize consumer preferences across five dimensions: travel experience, onboard services, shore excursions, tourist identity types, and accommodation/entertainment facilities. A multiple regression further examines how ship attributes (gross tonnage, passenger capacity, ratings, and maiden voyage year) relate to user evaluations. Results indicate that positive reviews depend not only on hardware conditions but also on the quality of personalized services, offering data-driven guidance for cruise design optimization and spatial strategy at Nansha Cruise Port.

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