PROBING INTO PEOPLES INTENTION IN THE USAGE OF SHARED AUTONOMOUS VEHICLES

Transport brings a downward effect on people especially when it is shared (Public Transport) and with the growing development and prospects as well as risks it has become important to investigate. Multiple indicators and multiple causes (MIMIC) model a special structure equation model (SEM) adopted in the simulation to study the intention of the possibility to replace the commercial transport system with a shared autonomous vehicle (SAV). An investigation is being launched mostly foreigners in China to assess the intention of people to accept the possibility of having a driverless taxi system to serve the same purposes of the Uber and Didi systems. Through the empirical data collection and analysis, it was found that Gender dynamics of car ownership falls mostly on men who are within the age cohorts of 31-45 years. Again, the high number of people own cars and there is a need for improvement in robots, however, the reference to the income dynamics does not really allow people to accept the robotic change. With the existing rate of people’s acceptability not being complete due to inadequate education on the flaws, prospects, this puts the new area in a position with great possibilities of future acceptance. Recommendations from the study will be for the regulatory authorities to bring in measures to reduce the currently existing challenges with the Public Transport systems, correct and reduce to its barest minimum the human deficiencies.