Impact of charging time and vehicle range on ridesharing service: Case study of Chulalongkorn University.

Mobility as a service (MaaS) is an important development towards the next generation automotive offerings. One of the key features in MaaS is ride sharing services. The present study focused on the impact of vehicle range and charging time in ride sharing services by simulation and focused on areas in Chulalongkorn University. Actual data is available from ride sharing services covering an area of 6.88 km2. The study covers nine scenarios involving different vehicle ranges per charge and charging power levels, with a fixed 20 vehicles available for service. The simulation based on PTV VISUM allows comprehensive results of ride-sharing operations in terms of vehicle kilometers travelled (VKT), service distance, empty distance and %unserved for analysis. Variation of the charging power influences the VKT and service distance much more than the variation of the range of the vehicles at maximum increases of 11.35 and 10.05%, respectively. The contribution of the empty distance in the VKT is less than 18% and variation across the nine scenarios is quite small. The %empty distance for charging is also much less than the %empty distance for trips. Analysis of the charging process reveals that the time required at the charging area, not the empty distance associated with the charging process, resulted in the low %served observed in the scenarios involving low charging power. The best combination of the vehicle range and the charging rate for the ride sharing service based on electric vehicles is presented. [ABSTRACT FROM AUTHOR]