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April 7, 2026Discover Artificial IntelligenceOpen Access

Using the decision tree algorithm to analyse the behaviour characteristics of tourism consumers

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Authors

XGXiaoxiao GuoCollege of Tourism

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Implication

Analyzes consumer behavior in tourism, revealing important characteristics for targeted marketing.

Key Points

  • The aim is to explore consumer behavior in tourism through a Decision Tree model, focusing on key characteristics.
  • Applied Decision Tree algorithm for data analysis
  • Segmented 400 respondents into three consumer groups
  • Performed data cleansing and feature selection for model compatibility
  • Evaluated model performance using accuracy, precision, recall, and F1-score
  • Achieved an accuracy of 92.5% for the Decision Tree model
  • Identified three consumer segments: Budget-Conscious (30%), Moderate (50%), Luxury-Oriented (20%)
  • Key influences on behavior included travel budget, income levels, and frequency of visits
  • Developed a hierarchical decision tree framework for actionable customer segments

Cite This Study

Xiaoxiao Guo (2026) studied this question.

synapsesocial.com/papers/69d49f1cb33cc4c35a227a5ahttps://doi.org/10.1007/s44163-026-01181-8
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