Citizens’ perceptions regarding air pollution

Abstract

The efforts toward reducing air pollution are influenced by a multifaceted interplay of sociological, psychological, demographic, and economic factors. Mathematical models have been developed to bridge the gap between theoretical concepts and practical actions, providing insights into consumer behaviour (BEH) within specific contexts. One such model, Ajzen’s Theory of Planned Behavior (TPB), stands as a valuable conceptual framework for understanding attitudes (ATT), subjective norms (SN), and personal behaviour control (PCB). Motivation: Data were collected via Google Forms to capture insights into the perceived importance of air quality monitoring and the public’s awareness of pollution issues. These data are expected to contribute to a deeper understanding of public perceptions regarding air pollution and the necessity of advanced monitoring technologies in urban environments. Hypothesis (H): H1 suggests that reducing air pollution involves various contributing factors. Subsequent H proposes that the overall ATT H2, SN H3, and PBC H4 significantly influence intention (INT) to reduce air pollution. Furthermore, H5 concerning SN and H6 associated with PBC aims to elucidate their impacts on fostering a sense of being a responsible provider (GPI). Hypothesis H7 indicates the influence of GPI on INT to reduce air pollution. The final two hypotheses H8 delve into the impact of INT on air pollution reduction on BEH, and H9 explores the influence of GPI on BEH. Method: Statistical software IBM SPSS was utilized to analyze the questionnaire outcomes. Additionally, IBM Amos statistical software was employed for Structural Equation Modeling (SEM). Results: INT emerged as the most influential factor driving actual BEH, while the sense of responsibility as a caretaker also significantly influenced participants’ actions concerning air pollution. Conclusion: The model is positioned to inform policy-makers and stakeholders by identifying key points, in this case, ATT and BEH, can be targeted to effectively influence public toward air quality management.