This study aims to evaluate the driving safety and mobility of personal mobility devices and to derive the correlation between driving characteristics and driving environments, focusing on the First Neighborhood District of the Multifunctional Administrative City. For this, the study presented a methodology to evaluate the driving safety and mobility of personal mobility devices, and measured acceleration and speed in the driving process after selecting normal bicycles, electric bicycles, and e-scooters as driving test devices. Then, the study conducted correlation analysis, cluster and outlier analysis, and multiple regression analysis in order to understand the effects of driving environments on driving characteristics. As a result, the research reached the following conclusions. First, regardless of the type of personal mobility device, the correlation between driving safety and driving mobility was found to be low overall. Next, the effects of driving environments on driving characteristics differed for each type of personal mobile devices. In terms of driving safety, e-scooters were more affected by road surface environments than electric bicycles. On the other hand, in terms of driving mobility, in addition to road type variables, situational factors such as competition with pedestrians and other personal mobility devices were also judged to be important.