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The impact of trip density on the fleet size and pooling rate of ride-hailing services: A simulation study
Zitatschlüssel	KaddouraSchlenther2021TripDensityDrt
Autor	Ihab Kaddoura and Tilmann Schlenther
Seiten	674–679
Jahr	2021
ISSN	1877-0509
DOI	https://doi.org/10.1016/j.procs.2021.03.084
Journal	Procedia Computer Science
Jahrgang	184
Notiz	The 12th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 4th International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops
Zusammenfassung	App-based ride-hailing services have expanded rapidly in recent years. In this study, simulation experiments are carried out for two regions in Germany: the metropolitan Berlin area and the rural area of the district Vulkaneifel (Volcanic Eifel). Transport users’ travel behavior is fixed and the operator is enabled to adjust the ride-hailing vehicle fleet size to keep 90% of all waiting times below 10 minutes. The results show that the trip density has a major impact on the required ride-hailing fleet size as well as the resulting service (e.g. operation hours, vehicle-kilometers and pooling rate). The simulation results reveal a nonlinear relationship of trip density and ride-hailing service parameters. A linear upscaling of simulation results for a small population sample may yield an overestimation of the fleet size, operating hours and vehicle kilometers. For low trip densities, the effect of pooling (ride-sharing) is disproportionately smaller compared to larger trip densities.