Rideshare is one way to share mobility in transportation without increasing traffic demand, where travel mobility and usage of vehicle capacity can be improved. However, current literature on rideshare has allowed only one-modal trips and may be limited in the matching efficiency, especially when there is a large gap between the supply and demand of mobility. Therefore, the objectives of this paper are first to develop a multi-modal matching framework of shared mobility with public transportation to maximize the performance of a rideshare system, and second to evaluate the effect of the public transportation and of the schedule flexibility on the matching efficiency. To fulfill the first objective, a multi-modal matching framework is developed to allow rideshare with both private and public vehicles with detailed design of detour, using Genetic Algorithm. Also for the second objective, the effects of public transportation and schedule flexibility are evaluated with a simplified network of Sioux Falls. The results show that public transportation helps the match rate slightly at a low supply of private vehicle, but this must be evaluated for practical implementation as different cities may bring different results. Also, a larger schedule flexibility helps greatly in increasing match rate even at a lower supply level. As well, the planning subject of time schedule is benefited more with larger schedule flexibility, in this paper the drivers, on the matching efficiency. Moreover, a rideshare system with private vehicles outperforms a public transportation system, possibly due to the rigid route of public transportation that takes no detour burden. This confirms the need for a flexible design of sharing mobility, as can be fulfilled with the multi-modal matching framework developed in this research.
기존의 승차공유 시스템은 승용차 등의 단일 수단 기반으로만 제안되고 있어 차량 이동에 대한 수요와 공급이 비대칭일 때 적용이 제한적이다. 이에 본 논문에서는 다중수단을 기반으로 하는 승차공유의 적용을 위하여 대중교통과 승용차 간의 환승을 허용하는 운전자와 승객 간의 매칭 프레임워크를 개발하였다. 이전의 논문과는 다르게 대중교통과 스케줄의 유연성을 함께 적용함으로써 주어진 사용자 환경에서 프레임워크의 매칭율이 증가하였다. 특히, 승차공유 시스템에서 운전자가 이동 수요자보다 상당히 적을 때 대중교통에 대한 환승을 허용하고 스케줄의 유연성을 조정함으로써 매칭율이 높은 수치에서 빠르게 수렴하게 하였고, 이는 승차 공유 시스템의 실제 적용 가능성을 높일 수 있다.
