Research On Willingness To Use And Sharing Mode Of Shared Autonomous Vehicles

Shared self-driving cars are one of the important directions for the development of intelligent transportation.They have broad application prospects and advantages,such as promoting intelligent transportation,realizing low-carbon transportation,ensuring traffic safety,and improving traffic efficiency.However,the existing shared self-driving car service model is relatively single,facing challenges such as unclear user acceptance and immature management and operation mechanisms.In order to promote the long-term development of shared autonomous vehicles,this study aims to investigate users’ willingness to use shared autonomous vehicles and their preference for sharing modes,so as to promote the continuous development of shared autonomous vehicles.This study clarifies the sharing mode of shared autonomous driving vehicles,including shared autonomous driving vehicle models and payment methods.Using methods such as questionnaires,behavioral experiments,and interviews,it aims to gain an in-depth understanding of users’ positive attitudes,behavioral intentions,and sharing mode preferences for shared autonomous vehicles.Through questionnaires to investigate factors such as individual socioeconomic attributes,travel habits,and psychological perception,a technology acceptance model is established to analyze the relationship between psychological perception and willingness to use.The behavioral experiment simulates the travel scene and records the eye movement data and actual selection during the experiment.The interview information further understands user needs and feedback,and discusses the acceptance of the sharing mode when the travel scene changes.research shows:(1)80.91% of the respondents support the sharing of autonomous driving technology,and agree with its technology and environmental protection.Gender,age,occupation,car ownership,historical travel mode,historical travel time,and historical travel distance are all related to autonomous driving.Technical support has a significant correlation.(2)By expanding the technology acceptance model,it is found that users’ low-carbon crisis awareness,trust in the management and operation department of shared autonomous vehicles,attitudes,and social influences have a significant impact on their willingness to use.(3)Based on the eye movement experiment research,it is found that the subjects pay more attention to the pay-by-time model and mini-cars during the selection process.When the travel scene changes,the subjects will self-regulate the choice of the sharing mode,but the subjects reject the carpooling mode and the minibus type of travel.(4)Subjects with different genders and educational backgrounds have different preferences in the choice of sharing mode.Women pay more attention to the choice of payment mode,while men pay more attention to the choice of car models.People with higher education spend more time thinking about car models and payment models in the selection process,while people with low education are not active in eye movement indicators,and their attention and evaluation are relatively simple and intuitive..This study reveals that the main group portraits that support autonomous driving technology are male,young,urban life and work,common private car travel,travel range of5-10 km,travel time of 20-30 min,a certain degree of technological acceptance and curiosity groups;emphasizing It pointed out the importance of government enterprises to enhance credibility,shape good public opinion,and cultivate public green travel behavior habits for the development of shared self-driving cars;it clarified that two-person cars combined with time-sharing leasing are more popular sharing model,and at the same time,it is necessary to pay attention to the model design.Continuously optimize the model configuration to meet the user’s aesthetic needs and travel needs.Facilitate the large-scale promotion of shared self-driving cars.