Often underrepresented in travel diary survey efforts, colleges and universities – depending on their size, geographic location, and student body composition – can be major contributors to travel. For this reason, researchers are increasingly and in greater detail focused on collecting survey data on the travel patterns and behavior at these educational institutions. The collection of data from a university community is quite challenging as it requires considerable cooperation on the part of the university administration to gain access to students, faculty, and staff. In addition, students constitute a hard-to-reach population that necessitates the adoption of a variety of strategies to enhance response rates, while recognizing behavioral and motivational heterogeneity across market segments within the student population. This paper (and presentation) will synthesize three case studies detailing the design, methodology, and conduct of recent travel diary surveys at several college and university campuses. The first case study is a stand-alone travel survey with responses from 14,464 students, faculty, and staff at Arizona State University and was intended to support the Maricopa Association of Governments in its model enhancement and activity-based model development activities. The second case study is a travel diary survey with responses from 7,923 students at eight colleges across the state of Utah and was conducted concurrently with and linked to the statewide household travel survey effort. The third case study was a travel diary survey, conducted as part of the regional travel survey in Bryan/College Station Texas (BCS). The BCS region has a student population of approximately 50,000 students between Texas A&M University and Blinn Junior College. The Texas survey approach includes a student web survey, as well as in-person intercepts and screening for students as part of the regional survey. This paper highlights the similarities and differences among the three case studies, provides comparisons of travel indicators across the case studies with a focus on possible survey design and administration effects, describes the sampling plans implemented in each effort, and concludes with a discussion of the value of these datasets to regional travel modelers on the one hand, and strategic planners at educational institutions on the other.