01764040

Component

https://annualmeeting.myt...nlineProgram/Details/15872

Shared Autonomous Electric Vehicles (SAEVs) are expected to enter the transportation market in the upcoming decades. In this paper, the authors describe the preparation of a MATSim model for Vienna in which the authors add this new service as a new transportation mode. The authors simulate different pricing schemes for various SAEV fleet sizes and analyze their impacts. The authors' focus is on the impacts in regards of socioeconomic heterogeneity. One main finding of the authors' paper is that the number of SAEV trips does not necessarily decrease for higher fares. It is instead the average travel time of SAEV rides which decreases if the service gets more expensive. The authors' simulation results for higher pricing schemes show that many people switch from bike or walk mode to SAEV. Public transport is also highly cannibalized by this new service regardless of the price, whereas SAEVs would always replace no more than 10% of car trips. SAEVs help reduce travel times significantly. People who do not have a car available in their household experience the greatest savings in travel time. A similar high share of SAEV trips is done by people older than 35 years. In regards of gender, the authors' results reveal that women tend to use SAEVs for shorter trips.

This paper was sponsored by TRB committee ACP80 Standing Committee on Traffic Simulation Committee.

TRBAM-21-03707

English

22p

2021

Transportation Research Board 100th Annual Meeting

Web

Figures; References; Tables

Autonomous vehicles; Demand responsive transportation; Electric vehicles; Heterogeneity; Pricing; Socioeconomic factors; Vehicle fleets; Vehicle sharing

MATSim (Computer program)

Vienna (Austria)

Finance; Highways; Vehicles and Equipment

Transportation Research Board Annual Meeting 2021 Paper #TRBAM-21-03707

TRIS, TRB, ATRI

Dec 23 2020 11:18AM