Tehran Urban Research & Planning Center: Tehran Municipality International Journal of Human Capital in Urban Management 2476-4698 10 4 2025 10 01 Assessing environmental concerns, technological usefulness, and adoption drivers of electric three-wheelers in urban transportation systems 749 772 724820 10.22034/IJHCUM.2025.04.10 EN T.D. Pushpam Department of Business Administration, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, Tamil Nadu 626126, India. Department of Business Administration, Saintgits Institute of Management, Kottayam, Kerala, India T. Chandrasekar Department of Business Administration, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, Tamil Nadu 626126, India. 0000-0003-3591-2205 D. Sivakumar Kalasalingam School of Agriculture and Horticulture, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, Tamil Nadu 626126, India. 0000-0001-5228-0145 Journal Article 2025 01 23 <strong>BACKGROUND AND OBJECTIVES: </strong>This study aimed to examine the factors influencing Switching Intentions toward electric three-wheelers within the urban transportation context of Kerala, India. Given the increasing need for sustainable urban mobility, understanding the behavioural drivers behind adopting electric three-wheelers is critical in promoting greener transport solutions.<br /><strong>METHODS: </strong>The research applied the Push-Pull-Mooring framework to analyze the influence of various factors on Switching Intentions. Data were collected through snowball sampling from 457 respondents involved in three-wheeler transport systems. Partial least squares structural equation modeling was employed to test the relationships between the factors and Switching Intentions.<br /><strong>FINDINGS: </strong> The results revealed that the push factors of Awareness of Consequences (β = 0.283, p < 0.000) and Environmental Concerns (β = 0.119, p < 0.005), the pull factor of Perceived Technological Usefulness (β = 0.152, p < 0.000), and the mooring factor of Herding Bias (β = 0.341, p < 0.000) significantly influenced Switching Intentions. However, Policy Support (β = 0.007, p > 0.829) and Personal Innovativeness (β = 0.047, p > 0.163) were found to be insignificant. Additionally, Switching Intention strongly predicted actual Use Behaviour (β = 0.697, p < 0.000) and Intention to Recommend electric three-wheelers (β = 0.437, p < 0.000).<br /><strong>CONCLUSION: </strong>The study highlighted the importance of environmental awareness and technological perceptions in driving the adoption of electric three-wheelers. These findings offer valuable insights for policymakers, manufacturers, and stakeholders to foster sustainable urban infrastructure development and address environmental challenges by promoting electric three-wheeler adoption. However, the study is limited by its geographic scope and reliance on self-reported data, which may introduce biases. Future research could explore longitudinal studies across diverse urban contexts to assess evolving adoption trends and the long-term impact of policy interventions.<br />  https://www.ijhcum.net/article_724820_e1594a10b4e7ecdb72fc31c6ca3274ab.pdf