TY - GEN
T1 - Cost structures of ride-hailing providers in the context of vehicle electrification and automation
AU - Negro, Pia
AU - Ridderskamp, Dorian
AU - Paul, Moritz
AU - Belzner, Heidrun
AU - Fehn, Fabian
AU - Bogenberger, Klaus
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/6/16
Y1 - 2021/6/16
N2 - On-Demand Mobility (ODM) has appeared in recent years in almost all places on earth. Notably, in large cities, it is no longer possible to imagine passenger transport without it. In the course of this development, the costs for this form of mobility have been anything but constant and transparent. However, in recent years, prices stabilized and now permit a detailed cost analysis. This paper analyzes the topic of ride-hailing cost composition and develops and quantifies cost components for the case of a premium ride-hailing provider in Munich. For a complete analysis, costs are investigated for Fleet Managers and ODM Providers separately, taking into account vehicle, overhead, and platform costs. In addition, different scenarios quantifying the influence of fleet sizes, total mileage, and trips, as well as the emerging trends of fleet electrification and automation, are investigated. The results show the high fixed costs of Fleet Managers, who should aim for high utilization to achieve positive economies of scale. Electric and autonomous fleets indicate cost-saving potential for Fleet Managers, respectively, due to favorable regulation or eliminated driver costs. The results also show the low fixed asset share of ODM Providers, making it easy for them to scale up.
AB - On-Demand Mobility (ODM) has appeared in recent years in almost all places on earth. Notably, in large cities, it is no longer possible to imagine passenger transport without it. In the course of this development, the costs for this form of mobility have been anything but constant and transparent. However, in recent years, prices stabilized and now permit a detailed cost analysis. This paper analyzes the topic of ride-hailing cost composition and develops and quantifies cost components for the case of a premium ride-hailing provider in Munich. For a complete analysis, costs are investigated for Fleet Managers and ODM Providers separately, taking into account vehicle, overhead, and platform costs. In addition, different scenarios quantifying the influence of fleet sizes, total mileage, and trips, as well as the emerging trends of fleet electrification and automation, are investigated. The results show the high fixed costs of Fleet Managers, who should aim for high utilization to achieve positive economies of scale. Electric and autonomous fleets indicate cost-saving potential for Fleet Managers, respectively, due to favorable regulation or eliminated driver costs. The results also show the low fixed asset share of ODM Providers, making it easy for them to scale up.
KW - Autonomous driving
KW - Cost analysis
KW - Cost function
KW - Electric vehicles
KW - Multi-sided platform
KW - Ride-hailing
UR - http://www.scopus.com/inward/record.url?scp=85115852122&partnerID=8YFLogxK
U2 - 10.1109/MT-ITS49943.2021.9529308
DO - 10.1109/MT-ITS49943.2021.9529308
M3 - Conference contribution
AN - SCOPUS:85115852122
T3 - 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
BT - 2021 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2021
Y2 - 16 June 2021 through 17 June 2021
ER -