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The development of Metro systems induces significant changes in the daily habits and lifestyles of residents in affected areas. A thorough understanding of the characteristics of different population groups, including their personality traits, perceptions, and behaviors, plays a crucial role in transportation and infrastructure planning and investment decision-making. This is particularly important in the context of Transit-Oriented Development (TOD), which is being studied and implemented in countries developing Metro systems. This study focuses on exploring the demographic characteristics, and personality traits of 300 residents living in Ho Chi Minh City, Vietnam, to analyze the relationship between these factors and their intention to use the Metro. The Classification and Regression Tree (CART) analysis method, within the decision tree modeling framework, is applied to provide valuable insights for transportation planning that align with the personality traits and perceptions of residents. Emphasizing the psychological well-being of residents is a critical step in enhancing social sustainability and equity, particularly in ensuring accessibility and usability of transportation services.

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Do Social Constructs and Big-5 Personality Traits Affect the Metro Use? An Application of CART in Decision Tree Model

  • 会议论文

  • 发表日期：

    2026年

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  • Chanh Toan Pham,
  • Xuan Long Nguyen,
  • Nghia Pham

摘要

The development of Metro systems induces significant changes in the daily habits and lifestyles of residents in affected areas. A thorough understanding of the characteristics of different population groups, including their personality traits, perceptions, and behaviors, plays a crucial role in transportation and infrastructure planning and investment decision-making. This is particularly important in the context of Transit-Oriented Development (TOD), which is being studied and implemented in countries developing Metro systems. This study focuses on exploring the demographic characteristics, and personality traits of 300 residents living in Ho Chi Minh City, Vietnam, to analyze the relationship between these factors and their intention to use the Metro. The Classification and Regression Tree (CART) analysis method, within the decision tree modeling framework, is applied to provide valuable insights for transportation planning that align with the personality traits and perceptions of residents. Emphasizing the psychological well-being of residents is a critical step in enhancing social sustainability and equity, particularly in ensuring accessibility and usability of transportation services.