Abstract
Demand responsive transport (DRT) is operated according to flexible routes, dispatch intervals, and dynamic demand, is attracting a lot of attention. The biggest characteristic of the DRT service is that the vehicle routes and schedules are operated optimally based on real-time travel requests of using passengers without fixed operating schedules. This study analyzed the feasibility of implementing the DRT service by analyzing the benefits for the users and cost of the operator from the effects of increasing public transportation use and providing personalized mobility service based on DRT implementation by the introduction of DRT using multi-agent transport simulation (MATSim). Through the simulation, the DRT is expected to provide convenient, fast, and cost-effective mobility services to customers; provide an optimal vehicle scale to providers; and, ultimately, achieve a safe and efficient transportation system.
Highlights
Growing population and mobility needs are the problem of today’s cities
As a result of the cost–benefit analysis based on the simulation results, that economic feasibility was ensured for demand responsive transportation (DRT) service implementation when the number of DRT vehicles was at the 30–50% level of the registered number of taxis, or the DRT fare was at 50% of the taxi fare or less
DRT, which is a transformed form of the conventional public transportation service, is a public transportation system providing a service that is operated freely according to the requests and demands of using passengers, and it corresponds to individuals’ travel goals and user intentions
Summary
Growing population and mobility needs are the problem of today’s cities. In order to overcome different challenges, such as accessibility, congestion, pollution, and fuel conception; governments have to explore new forms of sustainable transportation. DRT is believed to not given opportunity to be fully exploited, as it still suffers from existing institutional barriers that weaken its growth It faces a big challenge regarding the realistic prediction of travel demand in order to plan adequate supply, as well as the enhancement of the financial viability of the service. If DRT, which provides door-to-door service of the first mile/last mile concept considered in this study, is implemented, private car users will switch to public transportation, leading to a socioeconomic benefit. This study analyzed the simulation-based DRT implementation effect by using the activity-based model for transportation planning so that the operation of individual vehicles with no fixed route can reflect the travel behaviors of users. Various effects such as the optimal DRT fare system, number and capacity of vehicles, and transportation modal shift are analyzed through simulation-based evaluation
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