ArticleScientific reports2025
Investigation of predictors of air pollution-reducing behaviors among taxi drivers in Tehran based on the health belief model in 2024.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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3 authors.
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Abstract
Eco-driving behaviors among taxi drivers can significantly contribute to reducing urban air pollution, particularly in megacities such as Tehran. This study aimed to identify the psychosocial predictors of air pollution-reducing behaviors among taxi drivers based on the Health Belief Model (HBM). A cross-sectional descriptive-analytical study was conducted in late 2024 with 401 taxi drivers in Tehran, using structured face-to-face interviews. A validated questionnaire assessed seven HBM constructs and eco-driving behaviors. Pearson correlation and stepwise multiple regression analyses were applied. The findings revealed that self-efficacy was the strongest predictor of eco-driving behavior (β = 0.324, p < 0.001), followed by awareness, perceived benefits, and perceived susceptibility. The final regression model explained 27.1% of the variance in eco-driving behavior (R
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