Please use this identifier to cite or link to this item: https://hdl.handle.net/10321/3647
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dc.contributor.advisorAllopi, Dhiren-
dc.contributor.authorSarjoo, Arvin Ramsunderen_US
dc.date.accessioned2021-08-19T05:00:17Z-
dc.date.available2021-08-19T05:00:17Z-
dc.date.issued2020-06-
dc.identifier.urihttps://hdl.handle.net/10321/3647-
dc.descriptionSubmitted in fulfilment of the academic requirements for the degree of Master of Engineering: Civil Engineering and Geomatics, Durban University of Technology, Durban, South Africa, 2020.en_US
dc.description.abstractThe word “accident” is a familiar term used to describe a collision involving one or more transportation vehicles that results in property damage, injury or death. The term implies a random event that occurs due to no specific reason other than human error or unforeseen circumstances. The American National Highway Traffic Safety Administration (NHTSA) suggests replacing the word “accident” with “crash” as the word “crash” implies that the collision could have been prevented or minimised by improving driver behaviour, vehicle design, roadway geometry or the environment (Garber and Hoel 2015: 150). In the global context, South Africa, as is characteristic of many developing countries with limited resources, faces the challenge to proactively managing, reducing and eliminating the high incidence of road crashes, injuries and fatalities. Due to an absence of routine Road Safety Assessment and Audit procedures within the relevant departments at the City of Tshwane Metropolitan Municipality (CTMM), the main aim of this research was to develop procedures with measurable benefits which would promote a safer road environment. The data analysis and findings describe statistically significant relationships between Average Daily Traffic (ADT) as the independent variable and Accident Frequency as the dependant variable. The linear regression models and equations as developed allowed for the prediction of crash rates and the prioritisation of CTMM road safety projects. The findings indicated significant increases in accident rates on higher order roads (typically traffic signalled controlled intersections) with factors such as a greater number of intersection conflict points, greater pedestrian volumes and increased intersection saturation or volume/capacity levels contributing to higher accident rates. Intersection controls and traffic safety measures such as traffic circles, traffic signals, and traffic signs were assessed for effectiveness in reducing the Rate of Accidents per Million of Entering Vehicles (RMEVs). The research highlights the vulnerability of Non-Motorised Transport (NMT) (particularly pedestrians) which contributed to approximately 40% of all accident fatalities (Department of Transport 2016: 31). The recommendation therefore is for a road safety assessment and screening process to focus and allocate greater resources in the effort to proactively reduce the number of pedestrian fatalities.en_US
dc.format.extent110 pen_US
dc.language.isoenen_US
dc.subjectRoad accidentsen_US
dc.subjectTransportation vehiclesen_US
dc.subjectRoad Safety Assessment and Audit proceduresen_US
dc.subjectAverage Daily Traffic (ADT)en_US
dc.subject.lcshTraffic safety--South Africaen_US
dc.subject.lcshRoads--South Africa--Design and constructionen_US
dc.subject.lcshRoads--Safety measuresen_US
dc.subject.lcshAutomobiles--Collision avoidance systemsen_US
dc.titleThe development of road safety assessment screening procedures for the City Tshwane Metropolitan Municipalityen_US
dc.typeThesisen_US
dc.description.levelMen_US
dc.identifier.doihttps://doi.org/10.51415/10321/3647-
local.sdgSDG03-
local.sdgSDG11-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.openairetypeThesis-
item.grantfulltextopen-
item.cerifentitytypePublications-
Appears in Collections:Theses and dissertations (Engineering and Built Environment)
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