An exploratory study of a law enforcement model for vehicle speed in Tshwane Metropolitan Municipality, South Africa
Makalo E. Taumang · Paul O. Bello ORCID ↗ · Adewale A. Olutola
International Journal of Research in Business and Social Science · 2022 · Vol. 11 / Issue 6 · 572-583
Publication metrics
External links open provider records or DOI searches. Provider counts are not combined. Mendeley readership measures saves, not citations.
Dimensions
Live provider badge. If unavailable, use the Dimensions link above.
Observed 21 Oct 2026, 07:22 UTC
Observed 21 Oct 2026 07:22 UTC
OpenAlex and Mendeley observations refresh on article visits, at most once per 24 hours. Unavailable data is not zero. Google Scholar opens a DOI search.
Citations received by this article, grouped by the year of the citing work. Crossref and OpenAlex lifetime totals remain separate in Publication metrics.
2017–2026 Annual history last updated:
Citations received
OpenAlex · year of the citing work
Hover over a year or focus the chart and use arrow keys to inspect values.
2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.
View data & coverage
2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Years beyond a saved observation’s window remain unknown (—). Older citations are excluded, so this chart’s sum may differ from the OpenAlex lifetime total. The date above belongs to this annual history; an unsuccessful refresh keeps the previous observation.
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.
Keywords: {'name': 'Illegal speeding, Road crashes, Qualitative models, Tshwane, Traffic law'}
Authors & affiliations
Makalo E. Taumang
Affiliation not supplied
Paul O. Bello
Affiliation not supplied
Adewale A. Olutola
Affiliation not supplied
Deposited references
Supplied references, not a list of publications citing this article.
DOI: 10.3390/ijerph15122828
DOI: 10.1016/j.eswa.2005.04.025
DOI: 10.1287/mnsc.2.3.197
Cowlagi, R. V. & Saleh, J. H. (2015). Coordinability and Consistency: Application of Systems. [Online] Available at: https://users.wpi.edu/~rvcowlagi/publications/2015-jlp-cc.pdf [Accessed September 24, 2021].
Fitness, A., Thomas, P. & R., T. (2020). The application of systems approach for road safety policymaking [Online]Available at:https://visaozero2030.pt/wpcontent/uploads/The_application_systems_approach_road_safety_policy_making.pdf [Accessed September 21, 2021].
DOI: 10.1002/wcs.115
DOI: 10.1080/00461520.2018.1469411
DOI: 10.4324/9781351294447-1
DOI: 10.1016/j.aap.2014.07.017
DOI: 10.1787/irtad-2017-en
International transport forum. (2018a). Road Safety Annual Report 2018. Paris: OECD.
International transport forum. (2018b). Speed and crash risk. Paris: OECD.
DOI: 10.1080/15389588.2022.2085872
DOI: 10.33492/JRS-D-21-00069
DOI: 10.5430/ijhe.v6n5p26
Larsson, P. (2007). The need for a systems approach to road safety. [Online] Available at: https://www.humanfactors.lth.se/fileadmin/_migrated/content_uploads/thesis-2007-Larsson-Systems_Approach_to_Road_Safety_01.pdf [Accessed September 21, 2021].
DOI: 10.1080/0023656X.2021.1940115
Moyana, H. (2008). The role of the Road Traffic Management Corporation in research. Proceedings of the 27th Southern African Transport Conference, 7 to 11 July 2008. Pretoria: Department of Transport.
DOI: 10.5430/ijhe.v6n5p26
Mwamba, E., Masaiti, G. And Simui, F. (2022). System Thinking Approach in Road Crash Analysis: A Catalyst to Improved Road Safety in Zambia. Journal of City and Development, 4(1), 1-10. http://dx.doi.org/10.12691/jcd-4-1-1
Mynhardt, D.C. (2013). An integrated data management model on road traffic crashes in South Africa. (Unpublished M.Tech. thesis). Pretoria: Tshwane University of Technology.
DOI: 10.1016/j.procir.2020.04.137
Ratau, M.E. (2008). An investigation into the need for a star rating monitoring procedure for minibus taxi operators in Pretoria in the City of Tshwane. (Unpublished M.Tech. thesis.) Pretoria: Tshwane University of Technology.
Road traffic management corporation. (2005). Speed as a contributory factor to road traffic crashes. Pretoria: Department of Transport.
Road traffic management corporation. (2010). Traffic Offence Survey Report. (Prepared by Microzone). Pretoria: Department of Transport.
Road traffic management corporation. (2015). Road traffic report, calendar 1 January – 31 December 2015. Pretoria: Department of Transport.
Road traffic management corporation. (2016b). Road traffic report, calendar 1 January – 31 December 2016. Pretoria: Department of Transport.
Rothe, F., J. (2008). Enhancement of Accident Reporting in the Johannesburg Metropole. Tshwane: Tshwane University of Technology
DOI: 10.9790/1684-0627276
http://www.iosrjournals.org/iosr-jmce/papers/vol6-issue2/I0627276.pdf
DOI: 10.9790/1684-0627276
DOI: 10.36096/ijbes.v2i4.229
DOI: 10.36096/ijbes.v2i4.229
DOI: 10.22214/ijraset.2017.8179
DOI: 10.22214/ijraset.2017.8179
Sidek, S. & Ibrahim, S. (2014). The Alignment between Theory and Practice of Road Accident Prevention Program. In: N. S. Jaharuddin & S. Ibrahim, eds. Management Science: A collection of readings. Serdang: University Putra Malaysia Press, pp. 18-34.
University of Ljubjana. (2021). Qualitative modeling from data. [Online] Available at: https://www.fri.uni-lj.si/en/projects/26 [Accessed August 17, 2021].
DOI: 10.17159/sajs.2018/20170427
Zambrano, X., Kosoff, J. & Grayson, M. (2019). Qualitative models in section: enterprise risk management how to stop worrying about what to call them and start validating them. [Online]. Available at:https://rmajournal.org/rmajournal/december_2019january_2020/MobilePagedArticle.action? articleId=1540694#articleId1540694 [Accessed August 21, 2021].