Please use this identifier to cite or link to this item: http://ir.nust.na:8080/jspui/handle/10628/793
Title: Relationship between the location and causes of motor vehicle accidents on the B1 road, Windhoek to Rehoboth, Namibia.
Other Titles: Thesis presented in fulfilment of the requirement for the Master of Health Sciences In the Faculty of Health and Applied Sciences, Namibia University of Science and Technology, Windhoek.
Authors: Cloete, Carolie
Keywords: MVA Namibia
Road accidents
B1 Road Windhoek
Rehoboth Namibia
Motor Vehicle Accidents
Issue Date: Apr-2019
Publisher: Namibia University of Science and Technology
Citation: Cloete, C. (2019). Relationship between the location and causes of motor vehicle accidents on the B1 road, Windhoek to Rehoboth, Namibia (unpublished masters thesis), Namibia University of Science and Technology.
Abstract: Motor Vehicle Accidents (MVAs) are fast becoming the leading cause of death globally. In 2010, one person died every 25 seconds due to an MVA. Namibia was highlighted in 2008 as the country with the highest accident‐related fatality rate in the world (45 deaths per 100 000) and in 2010, ranked 9th overall for fatality rate in Africa. The B1 road in the Hardap region (Rehoboth and its surrounding areas) was identified in 2009 as one of the top ten locations for MVAs and in 2014 as an area with high MVA associated fatality. Despite the identifiable causes of MVAs, accident rates continue to rise and have been recognised as a neglected epidemic due to poor data capturing and reporting. Despite the availability of data in Namibia there has been very little research performed to investigate the causes of these statistics and no research linking the cause to the location. Filling in these research gaps is important in beginning to remedy the high number of accidents and fatalities associated with MVAs in Namibia. The study aimed to map the causes of MVAs in relation to the location (at 20km intervals) on the B1 road between Windhoek and Rehoboth. The objectives of the study were to identify clusters of causes per location interval and determine and describe the relationship between the causes and location of MVAs. The final objective is to formulate and propose endorsements for the erection of cause‐specific features at identified locations as a prevention strategy.
URI: http://ir.nust.na:8080/jspui/handle/10628/793
Appears in Collections:Masters and PhD Theses



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