摘要：When attempts are made to incorporate shared autonomous vehicles (<i>SAV</i>s) into urban mobility services, public transportation (<i>PT</i>) systems are affected by the changes in mode share. In light of that, a simulation-based method is presented herein for analyzing the manner in which mode choices of local travelers change between <i>PT</i> and <i>SAV</i>s. The data used in this study were the modal split ratios measured based on trip generation in the major cities of South Korea. Subsequently, using the simulated results, a city-wide impact analysis method is proposed that can reflect the differences between the two mode types with different travel behaviors. As the supply–demand ratio of <i>SAV</i>s increased in type 1 cities, which rely heavily on <i>PT</i>, use of <i>SAV</i>s gradually increased, whereas use of <i>PT</i> and private vehicles decreased. Private vehicle numbers significantly reduced only when <i>SAV</i>s and <i>PT</i> systems were complementary. In type 2 cities, which rely relatively less on <i>PT</i>, use of <i>SAV</i>s gradually increased, and use of private vehicles decreased; however, no significant impact on <i>PT</i> was observed. Private vehicle numbers were observed to reduce when <i>SAV</i>s were operated, and the reduction was a minimum of thrice that in type 1 cities when <i>SAV</i>s and <i>PT</i> systems interacted. Our results can therefore aid in the development of strategies for future <i>SAV</i>–<i>PT</i> operations.
