ArticleScientific reports2026
Development, psychometric evaluation, and application of an eco-driving questionnaire based on the Health Belief Model.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study aimed to develop and psychometrically evaluate a culturally adapted eco-driving questionnaire grounded in the Health Belief Model (HBM) among line taxi drivers in Tehran, Iran. Given the contribution of vehicular emissions to urban air pollution and the lack of theory-based tools for assessing eco-driving determinants, a multi-phase questionnaire development process was conducted. An initial pool of 96 items was generated through literature review and expert consultation, followed by content validation, pilot testing, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability assessment, and structural equation modeling (SEM). Data were collected from 401 line taxi drivers selected through stratified random sampling. The final 57-item questionnaire covered eight domains: knowledge, perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, self-efficacy, and eco-driving behavior. EFA supported an eight-factor structure explaining 77% of cumulative variance. CFA using WLSMV estimation showed acceptable fit (CFI = 0.936, TLI = 0.942, RMSEA = 0.068), although SRMR was elevated (0.128). Reliability was acceptable to excellent for most Likert-based subscales, while lower reliability was observed for dichotomous and mixed-format subscales. SEM showed that self-efficacy, knowledge, perceived benefits, and perceived susceptibility significantly predicted eco-driving behavior. The questionnaire may support research, intervention design, and policy planning to reduce transport-related air pollution.
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