Modelling the Community Adaptive Behaviour Towards Air Pollution: A Confirmatory Factor Analysis With PLS-Sem

Abstract

Air pollution has become a serious threat to public health due to the rapid economic development globally, and urban air pollution is thought to cause 1.3 million deaths annually. Urban areas have a huge potential for human exposure to the severity of air pollution and health concerns. Therefore, it is essential to advance our understanding of the factors influencing behaviour to provide compelling evidence for successful behavioural interventions and guidelines. Doing so will increase the practicality of public adaptation to the guidelines. Yet, little is known about the adaptive behaviour toward air pollution. This study aims to establish a predictive model of factors impacting the adaptative behaviour of urban Malaysians toward air quality. A deductive theory-generating research approach and a correlational research design were used in the development of a new ABR model. The following seven factors were tested: values (VAL), attitude (ATT), perceived vulnerability (PVL), perceived severity (PSV), self-efficacy (SEF), response efficacy (REF), and risk perception (RPN). Klang Valley served as the study area, and a multi-stage cluster sampling technique was used to select the respondents (n = 440) of a face-to-face questionnaire survey. In conjunction with PLS-SEM analyses, confirmatory factor analysis (CFA) was used to evaluate the structural models. The results demonstrated that PLS-SEM CFA is suitable for building a reliable structural model to examine community adaptive behaviour.

Assessment of Safety Management Attitude Practices Toward the Safety Culture of the Construction Sector

“…Based on SEM analysis, three hypotheses were evaluated to address the research questions and achieve the study's objectives. Combining indirect effects between the two variables is the aim of SEM analysis (Sahrir et al, 2022). Awang et al (2018) explain that SEM produces two different types of output, namely graphic output and text output.…”

Application of Gis in Spatial Model Development of Attitude Residents Towards River Pollution: A Case Study of the Terengganu River Basin, Malaysia

“…Therefore, the community's well-being can be achieved easily if activities emphasize the importance of the environment, as a clean environment requires continuous preservation efforts from various parties (Rasdi et al, 2022;Azinuddin et al, 2022). However, although various efforts have been made, human activities that destroy the environment's quality have increased and continue to put the environment seriously (Sahrir et al, 2022). Therefore, this article aims to develop a spatial model of attitude toward river pollution.…”