Thesis (Ph. D.)--Florida International University, 2004. / Vita. Includes bibliographical references (p. 116-119). Also available online via the Florida International University website (http://digitalcommons.fiu.edu/).

This study examined the variability in the observed relationship between safety climate and injuries in the extant literature by meta-analytically examining possible moderators of the safety climate-injury relationship at both the individual and group levels of analysis. Hypotheses were posited regarding the effects of six moderators: study design (i.e., retrospective or prospective), the time frame for gathering injury data, the degree of content contamination and deficiency in safety climate measures, the source of injury data (i.e., archival or self-report), and the operationalization of injury severity. Results revealed that the safety climate-injury relationship is stronger at the group level (? = -.23) than at the individual level of analysis (? = -.18). Meaningful moderators included the time frame between the measurement of safety climate and injuries for prospective group-level studies, safety climate content contamination for group-level studies, and safety climate content deficiency for individual-level studies. Longer time frames for gathering injury data and safety climate content deficiency were found to decrease effect sizes while content contamination was associated with stronger effect sizes. Methodological recommendations are proposed for future research of the safety climate-injury relationship including prospective longitudinal study designs with data collected and analyzed at the group-level of analysis and injuries operationalized at a greater level of severity.

Thesis (M.S.)--West Virginia University, 2001. / Title from document title page. Document formatted into pages; contains v, 104 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 48-54).

Thèse d'exercice : Médecine. Médecine générale : Université de Nantes : 2004. / Bibliogr. f. 136-142 [94 réf.].

Thesis (M.P.H.)--University of Hong Kong, 2009. / Includes bibliographical references (p. 36-38).

Thesis (M. Med. Sc.)--University of Hong Kong, 2002. / Includes bibliographical references (leaves 105-115).

Thesis (M. Nurs.)--University of Hong Kong, 2009. / Includes bibliographical references (p. 88-95).

The identification of hazardous road locations is important to the improvement of road safety. However, there is still no consensus on the best method of identifying hazardous road locations. While traditional methods, such as the hot spot methodology, focus on the physical distances separating road crashes only, the hot zone methodology takes network contiguity into consideration and treats contiguous road segments as hazardous road locations. Compared with the hot spot method, hot zone methodology is a relatively new direction and there still remain a number of methodological issues in applying the method to the identification of hazardous road locations. Hence, this study aims to provide a GIS-based study on the identification of crash hot zones as hazardous road locations with both link-attribute and event-based approaches. It first explores the general procedures of the two approaches in identifying traffic crash hot zones, and then investigates the characteristics of the two approaches by conducting a range of sensitivity analysis on defining threshold value and crash intensity with both simulated and empirical data. The results suggest that it is better to use a dissolved road network instead of a raw-link-node road network. The segmentation length and the interval of reference points have great impacts on the identification of hot zones, and they are better defined as 100 meters considering the stabilities of the performance. While employing a numerical definition to identify hot zones is a simple and effort-saving approach, using the Monte Carlo method can avoid selection bias in choosing an appropriate number as the threshold value. If the two approaches are compared, it is observed that the link-attribute approach is more likely to cause false negative problem and the event-based approach is prone to false positive problem around road junctions. No matter which method is used, the link-attribute approach requires less computer time in identifying crash hot zones. When a range of environmental variables have to be taken into consideration, the link-attribute approach is superior to the event-based approach in that it is easier for the link-attribute approach to incorporate environmental variables with statistical models. By investigating the hot zone methodology, this research is expected to enrich the theoretical knowledge of the identification of hazardous road locations and to practically provide policy-makers with more information on identifying road hazards. Further research efforts have to be dedicated to the ranking of hot zones and the investigation of false positive and false negative problems. / published_or_final_version / Geography / Doctoral / Doctor of Philosophy

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