Browsing by Author "Garrow, Laurie A."

Now showing 1 - 4 of 4
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    A Case Study: Educating Transportation Engineers with Simulation Software
    Luken, Brittany Lynn; Hotle, Susan; Alemdar, Meltem; Garrow, Laurie A. (2011 ASEE Annual Conference & Exposition, 2011)
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    Effects of the Traditional and Flipped Classrooms on Undergraduate Student Opinions and Success
    Hotle, Susan; Garrow, Laurie A. (ASCE, 2016-01)
    The flipped classroom is becoming increasingly popular at universities because of its perceived benefits in promoting active learning and decreasing educational costs. Studies have found positive benefits associated with flipped classrooms; however, many have failed to control for confounding factors. Examples of confounding factors include comparing courses taught by different instructors or across courses taught in different semesters using different quizzes. The objective of this paper is to compare the traditional and flipped classrooms in an undergraduate civil engineering course while controlling for potential confounding factors. The quasi-experimental study incorporates students’ online behaviors, in-class performance, office hour attendance, and responses to both attitudinal and behavioral questions to assess student opinions and learning outcomes. It was found that student performance on quizzes was not significantly different across the traditional and flipped classrooms. A key shortcoming noted with the flipped classroom was students’ inability to ask questions during lectures. Students in flipped classrooms were more likely to attend office hours compared to traditional classroom students, but the difference was not statistically significant. Future research should explore whether students’ inability to ask questions when the material is presented in flipped classrooms affects learning outcomes.
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    The Impact of advance purchase deadlines on airline consumers’ search and purchase behaviors
    Hotle, Susan; Castillo, Marco; Garrow, Laurie A.; Higgins, Matthew J. (Elsevier, 2015-12)
    Airlines frequently use advance purchase ticket deadlines to segment consumers. Few empirical studies have investigated how individuals respond to advance purchase deadlines and price uncertainties induced by these deadlines. We model the number of searches (and purchases) for specific search and departure dates using an instrumental variable approach that corrects for price endogeneity. Results show that search and purchase behaviors vary by search day of week, days from departure, lowest offered fares, variation in lowest offered fares across competitors, and market distance. After controlling for the presence of web bots, we find that the number of consumer searches increases just prior to an advance purchase deadline. This increase can be explained by consumers switching their desired departure dates by one or two days to avoid higher fares that occur immediately after an advance purchase deadline has passed. This reallocation of demand has significant practical implications for the airline industry because the majority of revenue management and scheduling decision support systems currently do not incorporate these behaviors.
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    The Role of Competitor Pricing in Multiairport Choice
    Hotle, Susan; Garrow, Laurie A. (Sage, 2014-01)
    This paper investigates how competitors’ low-fare offerings in multi-airport regions influence the online search behavior of customers at a major carrier's website. Clickstream data from a major U.S. airline are combined with detailed information about competitors’ low-fare offerings for 10 directional markets. The use of a truncated negative binomial model allows the prediction of the number of searches on the carrier's website as a function of low-fare offerings for the same airport pair as well as for competing airport pairs in the region. The study finds that the number of searches decreases as the difference between the carrier's lowest fare and competitors’ lowest fare increases. However, trip characteristics have more impact on search behavior than do the fare variables. Overall search on the carrier's website is limited, with less than 5% of customers searching for fares across multiple airports. The findings provide insight into the role of competitor pricing on multiairport choice as it relates to customers’ online search behavior.