The purpose of this study is to investigate the factors affecting the acceptance and use of the APTS by its potential users. To achieve this, an integrated and expanded user acceptance model is introduced to explain the factors affecting the Behavioral Intention to use the APTS. A total of 316 surveys were conducted, from 275 participants by online surveys and 41 participants by face to face interviews. With the data that are acquired from Public Transportation (PT) users in Istanbul, the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model is modified and Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, Trust and Safety, Perceived Usefulness, Perceived Risk and Behavioral Intention constructs are utilized in the model. Age, gender and frequency of PT usage are included in the model to examine the moderating effect on the constructs while the model is tested with Structural Equation Modeling (SEM). The proposed model explains the 72 % of variances in this study which proves that the model has stronger predictive power compared with the previous Technology Acceptance Model (TAM) and UTAUT models. Performance Expectancy, Social Influence, Habit, and Trust and Safety constructs are concluded to have significant positive effects on Behavioral Intention. Public usage and acceptance are necessary for the complete utilization of APTS. The findings of these studies are hoped to guide the decision-makers of the PT industry to understand the factors affecting the use and acceptance of APTS and take the actions accordingly.
Korkmaz, Huseyin, et al.
User Acceptance of Autonomous Public Transport Systems (APTS): Extended UTAUT2 Model.
Journal of Public Transportation, 23 (1): 1-38.
Available at: https://digitalcommons.usf.edu/jpt/vol23/iss1/5