  The technology of Shared Automated Vehicles (SAVs) has advanced significantly
in recent years. However, existing SAV studies primarily focus on the system
design while limited studies have examined the impacts of exogenous variables,
especially urban form, on SAV performance. Therefore, it remains unclear what
key urban form measurements may influence SAV system's sustainability. This
study fills the research gap by conducting simulation experiments using data
collected from 286 cities. This study identifies critical urban form
measurements correlated with the simulated SAV performance using fixed effects
regression models. The results suggest that SAVs are more efficient and
generate less VMT in denser cities with more connected networks and diversified
land use development patterns. The model results can help provide insights on
land use and transportation policies to curb the adverse effects of SAVs in the
future and generalize existing SAV simulation results to the rest of U.S.
cities.
