Thesis (Ph. D.)--Purdue University, 2005. / Includes bibliographical references (p. 186-196). Also available online.

Thesis (Ph. D.)--University of Texas at Austin, 2002. / Vita. Includes bibliographical references. Available also from UMI Company.

Thesis (M.S.V.)--University of Toledo. / Typescript. "A thesis [submitted] as partial fulfillment of the requirements of the Master of Science degree in Civil Engineering." Includes bibliographical references (leaves 85-92).

Originally presented as the author's Thesis (doctoral)--Technische Universität München. / "FGV-TUM." Includes bibliographical references (p. 164-168).

Thesis (Ph. D.)--University of Texas at Austin, 2007. / Vita. Includes bibliographical references.

One of the major impediments to developing a larger body of knowledge in travel behavior than we currently have is the lack of sufficient data at very detailed levels. The lack of sufficient data is the result of the inherent complexity of gathering and subsequently analyzing observations of the phenomena of interest. This is particularly true for route choice, a topic on which scant link-by-link data appear to be available, especially at multi-day level. In fact, very little empirical work is based on real world observation. This dissertation studies the factors that influence morning commuters route choice and route switching based on objective real-world observations of travel behavior during multi-day period. This dissertation tests the current route choice model assumption that travel time or travel distance is the only factor influencing drivers route choice decision. Investigation of the objective route choice factors confirms that minimizing travel time, although very important, is not the only factor that impacts route choice. Several other factors have been identified that impact commuters route choice. This dissertation examines the choice between using single or multiple morning commute routes. The results indicate the strong explanatory power of work schedule flexibility and trip-chaining on the choice of single or multiple commute routes compared to the commuters socio-demographic characteristics and commute route related attributes. This dissertation also presents an extensive effort in analyzing GPS-based travel behavior data and develops a methodology to subtract route choice information and trip-level travel information from the GPS-based vehicle activity data.

Thesis (Ph. D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2006. / James Tsai, Committee Member ; John Leonard, Committee Member ; Karen Dixon, Committee Member ; Michael Meyer, Committee Member ; Randall Guensler, Committee Chair. Includes bibliographical references.

Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2004. / Includes bibliographical references (leaves 54-56). Also available in electronic version.

Cycling for transport is an increasingly popular mode of travel in Hamilton, Ontario. Between 2011 and 2016, the mode share of cycling grew from 0.6% to 1.2%. As of 2019, 46% of the planned cycling facilities network has been built, which suggests that the city is transitioning to a cycling city. However, less is known about the built environment factors that influence cycling trips or the routes travelled by people who cycle in Hamilton. Drawing on the strengths of quantitative and qualitative methods, this research explores the built environment correlates of cycling and the perceptions of people who regularly cycle. First, a spatial interaction model was developed to test the level of cycling flows against various built environment attributes using trips data from the 2016 Transportation Tomorrow Survey. A novel feature of this analysis is the use of a cycle routing algorithm to infer routes as impedance factors. The most parsimonious model suggests that the shortest-path quietest routes best explain the pattern of travel by bicycle in Hamilton. To build upon these findings, objective built environment attributes were documented along select shortest-path quietest routes using environmental audits. The qualitative phase of the study then explores how well these approximated routes match where cyclists travel in Hamilton, as well as how the built environment more broadly in a growing city is perceived and experienced, by interviewing people who regularly travel by bicycle. The interviews highlight that the built environment is not yet bicycle-oriented and that cycling infrastructure influences mobility and route choice. As a result, people who cycle seek out routes that enable them to minimize interactions with cars, by incorporating quiet streets, and that have enjoyable environments. Policy implications and recommendations specific to these findings are discussed to further support the city of Hamilton’s transition to a more bikeable city. / Thesis / Master of Public Health (MPH)

Thesis (M. Sc.)--University of Hong Kong, 1999. / Includes bibliographical references (leaves 178-187).