This study analyzed the effects of ridesharing accessibility on DUI arrests in a university city using statistical approaches. Weekly and daily regression models were conducted using DUI arrest data from 2010-2015 and controlling for variables like football games, ridesharing programs, and semester. The results suggested a marginal effect of Uber and ridesharing programs in reducing DUI arrests. However, additional variables are needed to better quantify ridesharing demand and effects on DUIs.