This study micro-simulates 2% and 5% of the region's 9.5 million daily person-trips and 20% of trips in the central Twin Cities with shared autonomous vehicles (SAVs) in the 7-county Minneapolis–Saint Paul region using MATSim to appreciate the effects of different trip-making densities and curb-use restrictions. Results suggest the average SAV in this region can serve at most 30 person-trips per day with less than 5 minutes average wait time, but generating 13% more vehicle-miles traveled (VMT). With dynamic ride-sharing (DRS), SAV VMT fell, on average, by 17% and empty VMT (eVMT) fell by 26%. Compared to idling-at-curb scenarios, parking-restricted scenarios generated 8% more VMT. Relying on 52 mi/gallon hybrid electric SAVs, as opposed to a 31 mi/gallon conventional drivetrain SAV, is estimated to lower travelers' energy use by 21% and reduce tailpipe emissions by 30%, assuming no new or longer trips. Similarly, a 106 mi/gallon equivalent battery-electric fleet does much better by lowering energy use by 64%. 

Shared e-mobility is a category of emerging mobility services that includes electric carsharing, e-bike sharing and e-scooter sharing. These services are expected to reduce the negative externalities of road transport that is currently dominated by fossil-fuel-powered private car trips. In order to better inform the development and promotion of these services and indicate directions for further research, we conduct a comprehensive review of existing literature on the three shared e-mobility modes focusing on their usage pattern, demand estimation and potential impacts. We found that despite the different vehicle capabilities, all three shared e-mobility services are mainly used for short trips, and their current users are mostly male, middle-aged people with relatively high income and education. The demands of all shared e-mobility modes share many common predictors: they appeal to people with similar socio-demographic characteristics and generate higher demand in locations with better transport connection and more point of interests. Shared e-mobility services can potentially lead to positive impacts on transportation and the environment, such as reducing car use, car ownership, and greenhouse gas emissions. However, the magnitude of these benefits depends on the specific operating conditions of the services such as the fuel type and lifetime of shared vehicles. The impact of each shared e-mobility mode is also expected to be affected by other coexisting shared e-mobility modes due to both complementarity and competition. Future directions should include studying the competition between and integration of multiple shared e-mobility modes and the effect of automation.