Chakwizira, JamesBikam, PeterKhwathisi, Ntsieni Colin2017-10-292017-10-292017-09-18Khwathisi, N.C. 2017. An evaluation of Intelligent Transport System: A case study of the Bus Rapid Transit (BRT) Rea-Vaya in Johannesburg, South Africa. . . http://hdl.handle.net/11602/915http://hdl.handle.net/11602/915MURPDepartment of Urban and Regional PlanningThis study focuses on the evaluation of intelligent transport systems making use of the BRT-Rea-vaya in Johannesburg as a case study. This study was motivated by the observation that few studies have been conducted in the study area that tackle explicitly intelligent transport systems evaluation. Intelligent transport systems can assist in improving private and public transportation systems and operations performance. In the public sector where various modes of transport such as the taxi, metro bus, metro rail, Gautrain and the BRT Rea-vaya operates, intelligent transport systems present opportunities for improving Level of Service (LOS) delivery. In Johannesburg, the BRT Rea vaya system was adopted by the Johannesburg metropolitan municipality to provide a safe, reliable, efficient and accessible public transport system. The BRT Rea vaya system is aimed at providing a better public transport, operating systems and service. For the BRT Rea vaya systems to achieve its primary goals and objectives, an intelligent transport system was incorporated to better manage the BRT Rea-vaya systems operations and activities. The study disclosed the status quo, opinions and attitudes of commuters regarding their experiences with the BRT Rea vaya public transport systems in Johannesburg. Furthermore, the study investigated whether the original objectives and aims of intelligent transport system in the BRT Rea-vaya have been meet. A central theme of the investigation is seeking to understand constraints and opportunities regarding BRT Rea-vaya intelligent transport systems‘ operations and activities in Johannesburg. The use of primary and secondary data such as questionnaires, key informant interviews, observation, journals and previous researches related to intelligent transport systems were used to acquire an in-depth understanding of the operational management of BRT Rea-vaya intelligent transport system. Collected data was analyzed using Statistical Package for Social Sciences (SPSS) with the aid of Microsoft Excel making use of descriptive statistics, regression analysis, cross tabulation and chi-square test. This was presented using tables, graphs, maps etc. Qualitative data was analyzed making use of a thematic approach. The study resonates in the need for rapid public transport systems to provide lessons for improving and adopting intelligent transport systems. As an end product, the research provided a framework of analysis on how to integrate intelligent transport systems in the context of Bus rapid transit systems.1 online resource (xxii, 181 leaves : color illustrations, color maps)enUniversity of VendaIntelligent transport systemsUCTDOperationsSustainable transportTraffic flowPublic transport388.413220968221Transportation -- South Africa -- GautengTransportation, Automotive -- South Africa -- GautengLocal transit -- South Africa -- GautengBus lines -- South Africa -- GautengBuses -- South Africa -- GautengBus stops -- South Africa -- GautengUrban transportation -- South Africa -- GautengDissertationKhwathisi NC. An evaluation of Intelligent Transport System: A case study of the Bus Rapid Transit (BRT) Rea-Vaya in Johannesburg, South Africa. []. , 2017 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/915Khwathisi, N. C. (2017). <i>An evaluation of Intelligent Transport System: A case study of the Bus Rapid Transit (BRT) Rea-Vaya in Johannesburg, South Africa</i>. (). . Retrieved from http://hdl.handle.net/11602/915Khwathisi, Ntsieni Colin. <i>"An evaluation of Intelligent Transport System: A case study of the Bus Rapid Transit (BRT) Rea-Vaya in Johannesburg, South Africa."</i> ., , 2017. http://hdl.handle.net/11602/915TY - Dissertation AU - Khwathisi, Ntsieni Colin AB - This study focuses on the evaluation of intelligent transport systems making use of the BRT-Rea-vaya in Johannesburg as a case study. This study was motivated by the observation that few studies have been conducted in the study area that tackle explicitly intelligent transport systems evaluation. Intelligent transport systems can assist in improving private and public transportation systems and operations performance. In the public sector where various modes of transport such as the taxi, metro bus, metro rail, Gautrain and the BRT Rea-vaya operates, intelligent transport systems present opportunities for improving Level of Service (LOS) delivery. In Johannesburg, the BRT Rea vaya system was adopted by the Johannesburg metropolitan municipality to provide a safe, reliable, efficient and accessible public transport system. The BRT Rea vaya system is aimed at providing a better public transport, operating systems and service. For the BRT Rea vaya systems to achieve its primary goals and objectives, an intelligent transport system was incorporated to better manage the BRT Rea-vaya systems operations and activities. The study disclosed the status quo, opinions and attitudes of commuters regarding their experiences with the BRT Rea vaya public transport systems in Johannesburg. Furthermore, the study investigated whether the original objectives and aims of intelligent transport system in the BRT Rea-vaya have been meet. A central theme of the investigation is seeking to understand constraints and opportunities regarding BRT Rea-vaya intelligent transport systems‘ operations and activities in Johannesburg. The use of primary and secondary data such as questionnaires, key informant interviews, observation, journals and previous researches related to intelligent transport systems were used to acquire an in-depth understanding of the operational management of BRT Rea-vaya intelligent transport system. Collected data was analyzed using Statistical Package for Social Sciences (SPSS) with the aid of Microsoft Excel making use of descriptive statistics, regression analysis, cross tabulation and chi-square test. This was presented using tables, graphs, maps etc. Qualitative data was analyzed making use of a thematic approach. The study resonates in the need for rapid public transport systems to provide lessons for improving and adopting intelligent transport systems. As an end product, the research provided a framework of analysis on how to integrate intelligent transport systems in the context of Bus rapid transit systems. DA - 2017-09-18 DB - ResearchSpace DP - Univen KW - Intelligent transport systems KW - Operations KW - Sustainable transport KW - Traffic flow KW - Public transport LK - https://univendspace.univen.ac.za PY - 2017 T1 - An evaluation of Intelligent Transport System: A case study of the Bus Rapid Transit (BRT) Rea-Vaya in Johannesburg, South Africa TI - An evaluation of Intelligent Transport System: A case study of the Bus Rapid Transit (BRT) Rea-Vaya in Johannesburg, South Africa UR - http://hdl.handle.net/11602/915 ER -