An empirical study of user’s online electric vehicle car-hailing behavior based on the HSM model in the context of coordinated carbon and electricity markets

The transportation sector’s reliance on petroleum fuels exacerbates environmental issues, emphasizing the need for sustainable development. Online electric vehicle (EV) car-hailing services present a key opportunity for EV adoption. This study develops a model based on heuristic and systematic information processing, examining the impacts of factors such as risk perception, information need, and prior experience and knowledge on users’ utilization of online electric vehicle car-hailing services. The results show that users’ prior experience and knowledge increase their information need and promote both heuristic and systematic processing, leading to positive attitude changes, although they don’t significantly affect perceived risk. Perceived risk increases information need and supports supports systematic processing but negatively impacts attitude change. Greater information enhances systematic processing and attitude changes. Risk perception and information need do not affect attitude change via heuristic processing. Finally, the paper is concluded with implications and future research directions.