The purpose of this study was to identify areas that should be prioritized for promoting self-driving, a mode of transportation for people with disabilities that has received relatively little policy attention and budgetary support. This study analyzed the importance and satisfaction of self-driving support measures for people with disabilities and experts using the Importance Performance Analysis (IPA) method. IPA matrixes the importance and performance (satisfaction) of a policy, allowing policy priorities to be identified based on the level of satisfaction and importance. A survey of 161 drivers, 157 non-drivers with physical disabilities, and 51 experts was conducted to assess overall satisfaction and their satisfaction with specific support measures with self-driving support measures for people with disabilities. The study identified areas with high importance but low satisfaction levels, requiring priority improvement, and proposed improvement measures. From an institutional perspective, there were demands for Methods and procedures for assessing the motor skills, driver training after obtaining a driver's license, and from a technical perspective, for vehicle structural modifications (tuning), aftercare after special vehicle modifications, and expert consulting on special vehicle modifications. From an economic perspective, there is a priority need for rentals of special vehicle, support for vehicle maintenance costs, and from an accessibility perspective, for information on self-driving and services of organizations related to self-driving. This study analyzed the importance and satisfaction levels of self-driving support measures and proposed priorities to substantially improve mobility rights for persons with disabilities. The results can serve as a foundation for relevant ministries to promote and implement policies related to self-driving for people with disabilities.
Jeong et al. (2025) studied this question.