Schoner, JessicaLevinson, David M2016-04-282016-04-282013https://hdl.handle.net/11299/179838Bike share systems are an emerging technology in the United States and worldwide, but little is known about how people integrate bike share trip segments into their daily travel. Through this research, we attempt to fill this knowledge gap by studying how people navigate from place to place using the Nice Ride Minnesota bike share system in Minneapolis and St. Paul. We develop a theoretical model for bike share station choice inspired by research on transit route choice literature. We then model people’s choice of origin station using a conditional logit model to evaluate their sensitivity to time spent walking, deviation from the shortest path, and a set of station amenity and neighborhood control variables. As expected, people prefer to use stations that do not require long detours out of the way to access. However, commuters and non-work travelers differ in how they value the walking portion of their trip, and what station amenities and neighborhood features increase a station’s utility. The results from this study will be important for planners who need a better understanding of bike share user behavior in order to design or optimize their system. The findings also provide a strong foundation for future study about comprehensive route choice analysis of this new bicycling technology.endestination choice, station choice, bicycling, bike sharingWorking Paper