Exploring the Role of Attitudinal Factors in Electric Vehicle Timeshare Rentals Adoption

Electric vehicle timeshare rentals (EVTRs) have been recognized as promising solutions to growingly severe problems of traffic congestion, air pollution, and insufficient parking spaces. This study aims to explore the factors that affect the adoption of EVTRs. To achieve the research objective, the household survey is conducted to obtain the travelers' attitudes towards their travel. Ten latent attitudinal factors are extracted based on the technology acceptance model (TAM) and the theory of planned behavior (TPB). The multi-index and multi-cause (MIMIC) method simultaneously estimates the correlations between the attitudinal factors. Two logit models with attitudinal factors or not are constructed to estimate the quantitative relationship between various factors and EVTR adoption. The results show that the accuracy of the mixed logit model with latent attitude variables is better than the binary logit model without attitude latent variables. This indicates that attitude latent factors could be well matched with the traveler's travel behavior and could better reflect travelers' travel demand. Perceived comfort, perceived efficient, subjective evaluation, use preference, and use willingness significantly impact EVTR use frequency. The inconvenience in travelers, rental stations, shared vehicles, and use modes have significant negative impacts. Finally, social pressure has no significant impact. Findings provide valuable insights regarding the efficient planning of the EVTR system and allow decision-makers to develop scientific and practical measures of EVTRs.

Automated summary

Electric vehicle timeshare rentals (EVTRs) are recognized as a promising solution to traffic congestion, air pollution, and insufficient parking spaces. This study aims to explore the factors affecting EVTR adoption using a household survey. Ten attitudinal factors are extracted, and a mixed logit model is used to estimate the relationship between these factors and EVTR adoption. The results show that perceived comfort, perceived efficiency, subjective evaluation, use preference, and use willingness significantly impact EVTR use frequency, while inconvenience in various aspects has a negative impact. Social pressure has no significant impact. These findings provide insights for efficient planning and decision-making regarding EVTRs.