An exploratory study of a law enforcement model for vehicle speed in Tshwane Metropolitan Municipality, South Africa
Makalo E. Taumang,
Paul O. Bello and
Adewale A. Olutola
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Makalo E. Taumang: Faculty of Humanities, Department of Safety and Security Management, Tshwane University of Technology, South Africa
Paul O. Bello: Postgraduate supervisor, Department of Safety and Security Management, Faculty of Humanities, Tshwane University of Technology, Pretoria, South Africa
Adewale A. Olutola: Tshwane University of Technology
International Journal of Research in Business and Social Science (2147-4478), 2022, vol. 11, issue 6, 572-583
Abstract:
This study explores the law enforcement model for vehicle speed in Tshwane municipality of South Africa. South Africa has comparatively high road traffic crashes and casualty rates. Most of these crashes are associated with illegal speeding. This study was designed against the background of protracted road traffic crashes the triple causative factors as well as existing traffic law enforcement systems and processes aimed at managing illegal speeding. Data were collected from a sample of 28 senior law enforcement officials from the Tshwane Metropolitan Police Department (TMPD) traffic division, the Gauteng Traffic Police and the National Traffic Police. Qualitative data were analysed using thematic analysis’ open and axial coding processes on Atlas.ti.8. In its findings, the study developed a model that shows that illegal speeding and consequential road crashes were caused by an interaction of multiple factors. These were poor human behavioural elements as the main factor, road-environment factors and vehicle-related factors in the presence of inadequate and uncoordinated traffic law enforcement, weak penal systems for offenders, corruption, poor driver training and low road safety education. Key Words:Illegal speeding, Road crashes, Qualitative models, Tshwane, Traffic law
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:rbs:ijbrss:v:11:y:2022:i:6:p:572-583
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