Thesis (Ph. D.)--University of Michigan, 1975. / Also issued in print.

Thesis (Ph. D.)--University of Michigan, 1975. / eContent provider-neutral record in process. Description based on print version record.

Thesis (Ph. D.)--Oregon State University, 1996. / Typescript (photocopy). Includes bibliographical references. Also available on the World Wide Web.

Thesis (M.R.C.P.)--Kansas State University, 2004. / Includes bibliographical references (leaves 112-114). Also available online (PDF file) by a subscription to the set or by purchasing the individual file.

Thesis (M.R.C.P.)--Kansas State University, 2004. / Includes bibliographical references (leaves 112-114).

Thesis (M.Tech.: Chiropractic)-Dept. of Chiropractic, Durban Institute of Technology, 2006 129, [21] leaves / The first objective was to investigate the injury profiles of South African cyclists, especially those relating to mountain bicycle use on the road, as there appears to be no knowledge available on mountain bicycle use on the road and related injuries. Secondly, to see if there is an association between injuries and bicycle set-up in a South African context.

Road safety concerns are a legitimate concern when promoting increased bicycle use. Currently, the share of bicyclist traffic fatalities and injuries is not proportional to its mode share, and presents both a public health concern and a disincentive to people taking up or continuing to bicycle for transportation. Bicycling is not an inherently dangerous activity; automobile drivers pose the most risk of harm in crashes with bicyclists. Despite that, drivers' attitudes and behaviors toward bicyclists have not enjoyed much systematic study, particularly in the United States. This research explored the dimensions of drivers' attitudes toward bicyclists, including implicit bias and social attitudes, and examined the relationships between these attitudes and drivers' self-reported behaviors. The online survey included a cognitive test of respondents' implicit preference between drivers and bicyclists. The research questions are detailed in the introduction (Chapter 1), followed by a review of selected literature (Chapter 2) and detailed methodology (Chapter 3). The first set of results (Chapter 4) explores the potential usefulness of the implicit method and the attitude measures developed for this research, and presents an analysis of drivers' attitudes and what predicts more positive attitudes toward bicyclists. The second set of results (Chapter 5) extends the analysis to drivers' self-report behaviors, and how demographics, individual travel behavior, attitudes, and the built environment predict drivers' behaviors related to bicyclist safety. The dissertation concludes with a discussion of the contribution to the literature on driver attitudes and behaviors, and the implications for both practice and research.

Pedestrians and bicyclists are the most vulnerable road users and suffer the most severe consequences when crashes take place. An extensive literature is available for crash severity in terms of driver safety, but fewer studies have explored non-motorized users' crash severity. Furthermore, most research efforts have examined pedestrian and bicyclist crash severity in urban areas. This study focuses on state roads (mostly outside major urban areas) and aims to identify contributing risk factors of fatal and severe crashes involving pedestrians and bicyclists in state roads. Two ordinal regression models were developed (one for pedestrian and the other for bicyclist crashes) to examine crash severity risk factors. Additional models were developed to investigate road and traffic characteristics that could increase the likelihood of fatal crashes. In the model for pedestrian crash severity risk factors such as age, vehicle type and movement, light conditions, road classification, traffic control device, posted speed limit, location of the pedestrian and wet road surface during clear weather conditions are statistically significant. The bicyclist crash severity model indicates that age, crash location, vehicle movement and alcohol intoxication during dark conditions are statistically significant. In terms of road characteristics and traffic conditions, the models suggested risk factors such as arterials, light conditions, posted speed limit, roadways, and high heavy vehicle volume, increased the odds of a crash being fatal. The results seem to suggest that besides improvements in roadway characteristics, additional countermeasures to reduce crash severity for vulnerable users should include separation of vulnerable users from traffic, educational campaigns, more strict control of alcohol intoxicated drivers, and protection strategies of senior pedestrians.

Thesis (M.Tech.: Chiropractic)-Dept. of Chiropractic, Durban Institute of Technology, 2006 129, [21] leaves / The first objective was to investigate the injury profiles of South African cyclists, especially those relating to mountain bicycle use on the road, as there appears to be no knowledge available on mountain bicycle use on the road and related injuries. Secondly, to see if there is an association between injuries and bicycle set-up in a South African context.

Cities plan to revitalize sustainable transportation, with a key emphasis on cycling. However, cities need to provide safe environments for cyclists through better infrastru.cture design. education programs, or other interventions to increase cycling nwnbers, as safety concerns greatly discourage people from cycling. Thus, cities' strategies aim to protect and improve the safety ofthose who cycle. Here, cycling research con1ributes to understanding cycling and what factors related to the individua4 the bicycle, and the surrounding environm.ent, in.fluence the risk. cyclists face. Objective cycling safety goals are to i) decrease the outcome severity of accidents involving cyclists and ii) decrease the overall nwnber of accidents. lt is often based on accident records or police reports, yet most incidents are often not reported. Nevertheless, accident statistics are vital because they allow for factors such as demographic data and built environment tobe analyzed to understand cyclists' risk. ofbeing involved or injured in an accident. There is a worldwide need for more data about cycling accidents, their context, and the built environm.ent's influence. Hence complete datasets are required. We mak:e use of CYCLANDS - a collection of 30 datasets comprising 1.58M cycling accident records - to explore how other data and analysis can complement accident records. Thus, a subset of CYCLANDS was augmented to analyze circulation spaces around accident locations. We hope this takes a step in that direction, fostering the mix of authoritative and volunteered data and providing a more complete data set.