TY - JOUR
T1 - Exploring the Financial Implications of Operating a Shared Autonomous Electric Vehicle Fleet in Zurich
AU - Richter, Maximilian A.
AU - Hess, Johannes
AU - Baur, Christoph
AU - Stern, Raphael
N1 - Publisher Copyright:
© 2021
PY - 2021/12
Y1 - 2021/12
N2 - The introduction of shared autonomous electric vehicles (SAEVs) brings along many advantages. Most of these advantages can be achieved when SAEVs are offered as on demand services by fleet operators. However, autonomous mobility on demand (AMoD) will only be established if fleet operation is economically worthwhile. This paper proposes a macroscopic approach to modeling two implementation scenarios of an AMoD fleet, differing in the number of deployed SAEVs. The city of Zurich is used as a case study, with the results and findings being generalizable to other similar European and North American cities. The simulation builds on the traffic model of the canton of Zurich (Gesamtverkehrsmodell des Kantons Zürich (GVM-ZH)). Financial profitability is based on the simulation results which are combined with a comprehensive SAEV cost analysis. The results demonstrate that, depending on the scenario, journeys can be offered profitably to customers for CHF 0.66 or CHF 0.56 per kilometer. While larger fleets allow for lower price levels and increased profits in the long term, smaller fleets exhibit elevated efficiency levels and profit opportunities per day. The paper concludes with recommendations on how fleet operators can prepare themselves to maximize profit in the autonomous future.
AB - The introduction of shared autonomous electric vehicles (SAEVs) brings along many advantages. Most of these advantages can be achieved when SAEVs are offered as on demand services by fleet operators. However, autonomous mobility on demand (AMoD) will only be established if fleet operation is economically worthwhile. This paper proposes a macroscopic approach to modeling two implementation scenarios of an AMoD fleet, differing in the number of deployed SAEVs. The city of Zurich is used as a case study, with the results and findings being generalizable to other similar European and North American cities. The simulation builds on the traffic model of the canton of Zurich (Gesamtverkehrsmodell des Kantons Zürich (GVM-ZH)). Financial profitability is based on the simulation results which are combined with a comprehensive SAEV cost analysis. The results demonstrate that, depending on the scenario, journeys can be offered profitably to customers for CHF 0.66 or CHF 0.56 per kilometer. While larger fleets allow for lower price levels and increased profits in the long term, smaller fleets exhibit elevated efficiency levels and profit opportunities per day. The paper concludes with recommendations on how fleet operators can prepare themselves to maximize profit in the autonomous future.
KW - Autonomous mobility on demand
KW - Autonomous vehicles
KW - Fleet provider
KW - Macroscopic traffic simulation
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U2 - 10.1016/j.urbmob.2021.100001
DO - 10.1016/j.urbmob.2021.100001
M3 - Article
AN - SCOPUS:85179026165
SN - 2667-0917
VL - 1
JO - Journal of Urban Mobility
JF - Journal of Urban Mobility
M1 - 100001
ER -