Thesis (M. Sc. in Transportation Technology and Policy)--University of California, Davis, 2000. / "September 2000." Includes bibliographical references (p. 147-150). Also available online via the ITS Davis website (www.its.ucdavis.edu).

Thesis (M.S.)--Rochester Institute of Technology, 2007. / Typescript. Includes bibliographical references (leaves 99-101).

Thesis (B.A.(Hons.)) -- University of Adelaide, 1975. / Includes bibliographical references (p. 40-41).

Thesis (M.A.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 74-77).

Thesis (M.A.)--University of Hong Kong, 2000. / Includes bibliographical references (leaves 74-77) Also available in print.

published_or_final_version / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

Thesis (Ph.D.)--University of Adelaide, Dept. of Geography & Dept. of Politics, 2002? / Includes bibliographical references (leaves 233-248).

Thesis (M.A.)--University of Hong Kong, 2006.

This research has aimed to study commuting distances for people working in Åre village. By analyzing individual statistical data over geographical sites this paper seeks to investigate any changes over time for different groups of the workforce. In addition to presenting raw data of distance calculations, maps constructed in geographical information systems will indicate spatial variations and general patterns. The results show that commuting distances to Åre village have increased between the years of 1990 and 2002, while they have decreased between the years 2002 and 2014. The workers who commute the longest distances are young, have relatively low incomes, lower education and no children living in their homes. The opposite applies for shorter commuting distances where older workers, with relatively high incomes, high education levels and who have children living in their homes. However, when working with statistical data it ́s important to acknowledge the limitations that arise by using numbers to describe reality. Nevertheless, these results indicate that sparsely populated places with growing economies stand out by having declining commuting distances while the general trend for the nation is the opposite with increasing distances. This information can therefore be of use for similar areas to indicate estimated commuting patterns in the future.

The purpose of this research is to explicate the relationship between commuting behavior, stress, and mental health. The overall results from the regression analysis turned out to be inconclusive given the researcher's initial hypothesis. The commute time reported by respondents did not have a statistically significant bearing on mental health outcomes. This was true for both the normal sample, and the sample that was split by gender.