Empirical Analysis Of Usage Intention And Usage Pattern Of Autonomous Driving Mobility Service

Whether the opportunities brought about by autonomous driving will emerge in the field of mobility largerly depends on the public’s usage intention and usage patterns for autonomous driving mobility services.Some cities have launched test ride projects and operational services based on autonomous driving,which provides opportunities for the public to understand autonomous driving,and also provides a new perspective for exploring future travel behavior changes.Therefore,this study aims to analyze the formation mechanism of usage intention,and grasp the rules and characteristics of usage patterns from multiple perspectives,namely,the classification of usage patterns of autonomous driving mobility services,the influencing factors of travel time utilization and travel time changes.The results will provide insights into potential changes in travel behavior.First of all,for the test ride users who have experienced the autonomous minibus(with safety steward)for free,this study constructs an extended planned behavior theory model including trust and experience satisfaction,and takes socio-demographic attributes as moderators,so as to study the formation mechanism of test riders’ usage intention of autonomous vehicle.Based on the results of structural equation model analysis,it is found that experience satisfaction can indirectly affect usage intention through trust,attitude,and perceived behavioral control,but the impact of experience satisfaction on perceived behavioral control varies with gender and education level.Further,this study explores the usage characteristics of experienced users who have repeatedly taken public and paid autonomous taxis.At the same time,in order to study the influencing factors of experienced users’ continuous use intention of autonomous taxis,this study constructs an extended technology acceptance model including attitude,service satisfaction,concern for the equality of safety,and psychological ownership,and analyzes the moderating effect of the contextual factor(i.e.,safety steward takeover frequency).Structural equation model analysis shows that attitude is the most influential factor,and the frequent takeovers by safety steward positively moderates the relationship between concern for the equality of safety and attitude.Then,in the classification study of usage patterns,this study puts forward multidimensional manifest variables of usage behavior to consider the extensive impact of autonomous driving,and uses the latent class analysis method to identify three types of travelers among existing and potential users in the current autonomous taxi market.Furthermore,this study grasps the characteristics of future usage patterns of different types of travelers,clarifies the key factors affecting class membership,and tests the differences in attitudes towards autonomous driving among different types of travelers,providing support for understanding user needs and optimizing mobility service.Finally,this study establishes a conceptual model of factors affecting travel time utilization preference and commuting time changes under the background of autonomous driving.Taking private car commuters(as driver)and public transport commuters as research objects,this study constructs rank-ordered probit models and random parameter ordered logit models considering the conceptual model to analyze the changes of time utilization preference and commuting time of the two types of commuters.The results analyze the influencing factors of travel time utilization preference,and verify the continuity of the current and future travel time utilization types.Also,the results reveal the potential mechanism by which autonomous driving affects the increase level of commuting time from three aspects: perception and expectation of travel time,exposure and perception of autonomous driving,and future travel time utilization preference.