Newer modes of transportation—ride-hailing services, car sharing, bike sharing and scooter sharing—impact travel behavior and outcomes such as accessibility, traffic congestion and greenhouse gas emissions. Yet current travel modeling analyses do not adequately incorporate these modes, resulting in inaccurate predictions of their influence. This project integrated shared mobility into traffic modeling for more accurate predictions that local governments can consult to make transportation planning decisions.