Exploring the impact of shared autonomous vehicles on urban parking demand: An agent-based simulation approach

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Self-driving cars will change cities (2016, background): “Zhang et al. (2015) simulate a city with random trip demand generation, to show a dramatic downward effect of shared AVs on parking demand.”
Impacts of automated vehicles on travel behaviour and land use: an international review of modelling studies (2018, methodology): “…of parking land use the change in the number of parking spaces as an impact indicator, calculated by investigating the change in the number of vehicles, i.e. the AVs fleet size, to process the current transport demand and using a specific parking space per car ratio (e.g. Zhang et al., 2015).”
Policy and society related implications of automated driving: A review of literature and directions for future research (2017, background): “Finally, Zhang et al. (2015) showed in their agent-based simulation of a hypothetical city that the longer the empty cruising of shared automated vehicles the more evenly distributed the parking demandof these vehicleswould be throughout the study area.”
Modeling Individual Preferences for Ownership and Sharing of Autonomous Vehicle Technologies (2017, background): “While some studies do not differentiate between private AV ownership and mobility-on-demand SAV configurations (6,7), others do.”