Dynamic ride-sharing and fleet sizing for a system of shared autonomous vehicles in Austin, Texas

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Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies (2018, background): “…PO U LO S ET A L. Replacement of private vehicles with private AVs in households, −50% VOT for private AVs −49% VMT; +9 percentage points in car share Fagnant and Kockelman (2016) Austin, USA Agent-based-Model Hourly varying link-level travel speeds Avg. waiting time carsharing: 1,9 min Avg.…”
Can sharing a ride make for less traffic? Evidence from Uber and Lyft and implications for cities (2021, background): “…a geofenced area could potentially replace between 10 and 13 privately owned vehicles, with one study finding that 49% of rides would be shared (Fagnant and Kockelman 2018; Farhan and Chen 2018) A study using New York City taxi trips found that switching from traditional taxis to shared…”
Marketing in the Sharing Economy (2019, background): “As noted by Fagnant and Kockelman (2018), shared autonomous vehicles “represent an emerging transportation mode” (p. 143) that will likely provide faster service at a lower cost than existing ride-sharing platforms.”