Environmentally friendly transportation use in Vietnam: Behavioral and policy drivers

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Type of the article: Research Article

Abstract
This study aims to investigate the behavioral and policy drivers of environmentally friendly transportation use in Vietnam by integrating environmental economics with behavioral theories of pro-environmental action. Primary data were collected through a structured online and in-person survey conducted across Vietnam’s northern, central, and southern regions between March and December 2025. The survey targeted respondents with regular daily travel activities to ensure a relevant transportation experience, and 538 valid responses were retained after data screening for analysis. Data were analyzed using PLS-SEM with SmartPLS software. The results show that behavioral intention is the strongest direct predictor among the examined factors of environmentally friendly transportation use (β = 0.472, p < 0.001), followed by perceived behavioral control (β = 0.283, p < 0.001) and benefits awareness (β = 0.108, p < 0.001). Attitude, subjective norm, and personal norm also exert significant positive effects on behavioral intention. Government policies, environmental awareness, and awareness of consequences positively shape personal norms, with government policies exerting the strongest effect (β = 0.450, p < 0.001). In addition, service availability and willingness to pay enhance perceived behavioral control, while ease of use strengthens benefits awareness. These findings highlight that environmentally friendly transportation adoption in Vietnam depends on the joint effects of behavioral motivation, normative influence, and structural feasibility, suggesting that integrated policy approaches are essential for promoting sustainable mobility in developing economies.

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    • Figure 1. Proposed structural model
    • Figure 2. Confirmed research model
    • Table 1. Characteristics of the survey respondents
    • Table 2. Summary of reliability and convergent validity results
    • Table 3. Discriminant validity of the measurement model (HTMT)
    • Table 4. Summary of direct hypothesis testing results
    • Table 5. Summary of indirect hypothesis testing results
    • Table 6. Coefficients of determination
    • Conceptualization
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Data curation
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Formal Analysis
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Investigation
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Methodology
      Pham Quang Tin, Bui Van Vien
    • Project administration
      Pham Quang Tin, Bui Van Vien
    • Resources
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Software
      Pham Quang Tin, Bui Van Vien
    • Supervision
      Pham Quang Tin, Bui Van Vien
    • Validation
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Visualization
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Writing – original draft
      Pham Quang Tin, Bui Van Vien, The Tuan Tran
    • Writing – review & editing
      Pham Quang Tin, Bui Van Vien