| Autonomous vehicles are one of the important development directions of future intelligent green transportation,which is expected to alleviate urban traffic congestion,pollution problems,traffic accidents and parking difficulties,etc.Shared autonomous vehicles refer to a new mode of travel that uses a combination of self-driving technology and a sharing economy model,and although this new mode of travel still faces challenges in many aspects such as technology,safety,law and market,with the technology.However,as technology continues to develop and become more popular,shared autonomous vehicles will gradually become an important part of urban travel.However,the research on shared autonomous vehicles is still insufficient,and the research on the factors affecting users’ willingness to use shared autonomous vehicles and their parking choice behaviors and their mechanisms of action is not yet complete.This thesis first studies the traveler ’s intention to use shared autonomous vehicles,based on the conceptual framework of the technology acceptance model,an extended technology acceptance model was constructed by introducing perceived risk,environmental awareness and socio-economic attributes.Then,a questionnaire on the traveler ’s willingness to use shared autonomous vehicles was designed.The questionnaire data were collected online,and the sample data were guaranteed to be effective and reliable through factor analysis.The structural equation model was constructed to study the main influencing factors of the traveler ’s intention to use shared autonomous vehicles.Perceived usefulness,perceived ease of use,perceived risk,environmental awareness,attitude and socio-economic attributes are the main factors affecting the use intention of shared autonomous vehicles.Through the test of direct effect,indirect effect and total effect in the model,it is found that perceived usefulness has the greatest total effect(0.382)on the use intention of shared autonomous vehicles,followed by perceived ease of use(0.338),perceived risk(-0.299),environmental awareness(0.277),attitude(0.199)and socio-economic attributes(0.193).In addition,through the study of the observation index variables AT2 and IN3,it is found that perceived usefulness,perceived ease of use,perceived risk,attitude,socio-economic attributes and use intention all have an impact on parking behavior.In order to further study the specific influencing factors of parking behavior,a multinomial Logit model of parking choice behavior of shared autonomous vehicles based on traveler ’s use intention is constructed.The questionnaire setting of the complaint preference survey is determined by orthogonal design test,and the questionnaire is distributed to obtain data.The model variables are processed,and the effective data are substituted into the model to analyze the relationship between traveler ’s parking choice behavior and influencing factors(including traveler ’s socio-economic attributes,travel attributes and parking attributes).The results show that the significance of the influencing factors of travelers ’ choice of parking mode is different under different parking time.Riding time,parking time,travel cost,parking cost,cruise cost,waiting time and traffic emission are the main factors affecting travelers ’ choice of parking mode for shared autonomous vehicles.The research results of this thesis can provide some theoretical basis when the shared autonomous vehicle operators provide users with the most effective parking choice according to the influencing factors. |
