Understanding Behavioral Intention to Adopt Electric Vehicles Among Motorcycle Taxi Pilots: A PLS-SEM Approach
No Thumbnail Available
Date
2026
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
World Electr. Veh. J. 2025, 16, 309
Abstract
Progressive advancements in the global economy and technology have propelled
human civilization forward; however, they have also inflicted significant harm on
the global ecological environment. In the present era, electric vehicle (EV) technology is
playing a vital role due to its environmentally friendly technological advances. However,
widespread adoption of EVs has been hindered by their limited travel range, inadequate
charging infrastructure, and high costs. This can be closely observed when we assess
the adoption of electric vehicles (EVs) among motorcycle taxi drivers, commonly called
‘pilots,’ in Goa, India. Motorcycle taxis are crucial in Goa’s transportation network, providing
affordable, efficient, and door-to-door services, especially in regions with limited
public transport options. However, the rising costs of petrol and vehicle maintenance
have adversely affected the income of these pilots, prompting concerns about their willingness
to adopt EVs. This study aims to analyze the factors prompting the behavioral
intention to adopt EVs by motorcycle taxi pilots in Goa, India, focusing on six key determinants:
charging infrastructure, effort expectancy, performance expectancy, price value,
social influence, and satisfaction with incentive policies. A quantitative approach was employed,
utilizing stratified proportionate random sampling techniques to collect data from
242 motorcycle taxi pilots registered with the Goa State Government Transport Department.
It was analyzed using partial least squares-structural equation modeling (PLS-SEM)
through Smart-PLS 4.0 software. The research highlights that performance expectancy
and price value are the potential motivators for the adoption of electric vehicles. These
findings suggest that pilots are more likely to embrace EVs when they perceive tangible
benefits in performance and find the cost reasonable in relation to the value offered. The
results offer actionable insights for policymakers, manufacturers, and other stakeholders.
These insights can guide strategic decisions and policy frameworks aimed at fostering a
sustainable and user-centric transportation ecosystem.