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The analysis of road traffic accident data in the implementation of road safety remedial programmes

Thesis (M.Ing.)--Stellenbosch University, 2001.

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Bibliographic Details
Main Author: Mollet, C. J.
Other Authors: Bester, C. J.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2012
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access_status_str Open Access
author Mollet, C. J.
author2 Bester, C. J.
author_browse Bester, C. J.
Mollet, C. J.
author_facet Bester, C. J.
Mollet, C. J.
author_sort Mollet, C. J.
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (M.Ing.)--Stellenbosch University, 2001.
format Thesis
id oai:scholar.sun.ac.za:10019.1/52483
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:43:30.888Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2012
publishDateRange 2012
publishDateSort 2012
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
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source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/52483 The analysis of road traffic accident data in the implementation of road safety remedial programmes Mollet, C. J. Bester, C. J. Stellenbosch University. Faculty of Engineering. Dept. of Civil Engineering. Traffic accidents -- Statistics -- Statistics Traffic safety Dissertations -- Civil engineering Thesis (M.Ing.)--Stellenbosch University, 2001. ENGLISH ABSTRACT: A road safety remedial programme has as an objective the improvement of road transportation safety by applying road safety engineering remedial measures to hazardous road network elements in a manner that will be economically efficient. Since accident data is the primary manifestation of poor safety levels it must be analysed in manner that will support the overall objective of economic efficiency. Three steps in the process of implementing a road safety remedial programme, that rely on the systematic analysis of accident data, are the identification of hazardous locations, the ranking of hazardous locations and the evaluation of remedial measure effectiveness. The efficiency of a road safety remedial programme can be enhanced by using appropriate methodologies to measure safety, identify and rank hazardous locations and to determine the effectiveness of road safety remedial measures. There are a number of methodologies available to perform these tasks, although some perform much better than other. Methodologies based on the Empirical Bayesian approach generally provide better results than the Conventional methods. Bayesian methodologies are not often used in South Africa. To do so would require the additional training of students and engineering professionals as well as more research by tertiary and other research institutions. The efficiency of a road safety remedial programme can be compromised by using poor quality accident data. In South Africa the quality of accident data is generally poor and should more attention be given to the proper management and control of accident data. This thesis will report on, investigate and evaluate Bayesian and Conventional accident data analysis methodologies. AFRIKAANSE OPSOMMING: Die doel van 'n padveiligheidsverbeteringsprogram is om op die mees koste effektiewe manier die veiligheid van onveilige padnetwerkelemente te verbeter deur die toepassing van ingenieursmaatreëls. Aangesien padveiligheid direk verband hou met verkeersongelukke vereis die koste effektiewe implementering van 'n padveiligheidsverbeteringsprogram die doelgerigte en korrekte ontleding van ongeluksdata. Om 'n padveiligheidsverbeteringsprogram te implementeer word die ontleding van ongeluksdata verlang vir die identifisering en priortisering van gevaarkolle, sowel as om die effektiwiteit van verbeteringsmaatreëls te bepaal. Die koste effektiwiteit van 'n padveiligheidsverbeteringsprogram kan verbeter word deur die regte metodes te kies om padveiligheid te meet, gevaarkolle te identifiseer en te prioritiseer en om die effektiwiteit van verbeteringsmaatreëls te bepaal. Daar is verskeie metodes om hierdie ontledings te doen, alhoewel sommige van die metodes beter is as ander. Die 'Bayesian' metodes lewer oor die algemeen beter resultate as die gewone konvensionele metodes. 'Bayesian' metodes word nie. in Suid Afrika toegepas nie. Om dit te doen sal addisionele opleiding van studente en ingenieurs vereis, sowel as addisionele navorsing deur universiteite en ander navorsing instansies. Die gebruik van swak kwaliteit ongeluksdata kan die integriteit van 'n padveiligheidsverbeteringsprogram benadeel. Die kwaliteit van ongeluksdata in Suid Afrika is oor die algemeen swak en behoort meer aandag gegee te word aan die bestuur en kontrole van ongeluksdata. Die doel van hierdie tesis is om verslag te doen oor 'Bayesian' en konvensionele metodes wat gebruik kan word om ongeluksdata te ontleed, dit te ondersoek en te evalueer. Master 2012-08-27T11:35:01Z 2012-08-27T11:35:01Z 2001-03 Thesis http://hdl.handle.net/10019.1/52483 en_ZA Stellenbosch University 1 v. (various pagings) : ill. application/pdf Stellenbosch : Stellenbosch University
spellingShingle Traffic accidents -- Statistics -- Statistics
Traffic safety
Dissertations -- Civil engineering
Mollet, C. J.
The analysis of road traffic accident data in the implementation of road safety remedial programmes
title The analysis of road traffic accident data in the implementation of road safety remedial programmes
title_full The analysis of road traffic accident data in the implementation of road safety remedial programmes
title_fullStr The analysis of road traffic accident data in the implementation of road safety remedial programmes
title_full_unstemmed The analysis of road traffic accident data in the implementation of road safety remedial programmes
title_short The analysis of road traffic accident data in the implementation of road safety remedial programmes
title_sort analysis of road traffic accident data in the implementation of road safety remedial programmes
topic Traffic accidents -- Statistics -- Statistics
Traffic safety
Dissertations -- Civil engineering
url http://hdl.handle.net/10019.1/52483
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