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Dissertation (MSc)--University of Pretoria, 2015.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2015
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| _version_ | 1867613528715689984 |
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| access_status_str | Open Access |
| author2 | Venter, C.J. (Christoffel Jacobus) |
| author_browse | Venter, C.J. (Christoffel Jacobus) |
| author_facet | Venter, C.J. (Christoffel Jacobus) |
| collection | Thesis |
| dc_rights_str_mv | © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
| description | Dissertation (MSc)--University of Pretoria, 2015. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/50840 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:37:35.225Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/50840 Optimal investment strategies for bus-based transport under low to medium passenger demand conditions Venter, C.J. (Christoffel Jacobus) ackermanr@velavke.co.za Ackerman, J.S. UCTD Bus-based transport Sustainable transportation Public transport optimization Demand-responsive transport Low to medium passenger demand Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Dissertation (MSc)--University of Pretoria, 2015. In South Africa, a number of BRT systems are currently either in the planning stage, detail design and construction stage or operational. Cities such as Cape Town, Tshwane, Johannesburg, Bloemfontein, Polokwane, Rustenburg, Nelson Mandela Bay and Durban are currently in some BRT development or operational stage. These systems are being implemented at much lower passenger demand than in the majority of developing nations (Hensher & Golob, 2008), (City of Cape Town, 2012), (Rea Vaya, 2009), (Botha et. al., 2013). Planning authorities in South Africa are required by the National Land Transport Act (NLTA) to integrate all non-contracted services into a single public transport system (Republic of South Africa, 2009). Current availability of funding through the Public Transport Infrastructure and Systems grant (PTIS) and the Public Transport Operational Grant (PTOG), (Republic of South Africa, 2012), has made it possible for municipalities to plan, implement and operate such systems. No country possesses infinite funds to apply on the implementation and operation of public transport systems. It is therefore important that an analysis should be done on bus based infrastructure and operational alternatives. The incremental implementation of network wide BRT like features, has however been proven to have greater benefit-cost ratios (Lindblom, 1979), rather than implementing a full BRT on a single line (Eddington, 2006), (Niles & Jerram, 2010), (Hitge & van Dijk, 2012) and (Hidalgo, c.a. 2006). When the decision is made to implement a bus based public transport system, the planning authority is faced with various questions. Two of the more critical questions faced are: • What level of bus service should be implemented? • What type of bus should be used? The goal of this study therefore is, taking into consideration an incremental increase in passenger demand, to find the optimum size of bus to use in combination with the extent of public transport infrastructure to be implemented. A model was created for this study in order to re-create a real life scheduled bus service for each of the different variables. One of the variables used in this study is the type of bus, with a single BRT bus, articulated bus and bi-articulated bus used in the model. Another variable used in this study is the type of service, with a traditional bus service, operating in mixed traffic (base case scenario), a London style bus lane service and a BRT service being used to populate the model. Other variables include the level of traffic congestion experienced in the mixed lane bus service and the passenger demand encountered on the public transport line. Initially, the data obtained from the model shows, when compared to the same type of service, a bi-articulated bus always has the best benefit-cost ratio. This is followed by an articulated bus, with a single bus having the worst benefit-cost ratio. An increase in traffic only raises the benefit-cost values, and does not alter the general trend of the services or buses. tm2015 mi2025 Civil Engineering MSc Unrestricted SDG-09: Industry, innovation and infrastructure SDG-11: Sustainable cities and communities SDG-12: Responsible consumption and production 2015-11-25T09:53:51Z 2015-11-25T09:53:51Z 2015/09/01 2015 Dissertation Ackerman, J 2015, Optimal investment strategies for bus-based transport under low to medium passenger demand conditions, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/50840> S2015 http://hdl.handle.net/2263/50840 en © 2015 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria |
| spellingShingle | UCTD Bus-based transport Sustainable transportation Public transport optimization Demand-responsive transport Low to medium passenger demand Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Optimal investment strategies for bus-based transport under low to medium passenger demand conditions |
| title | Optimal investment strategies for bus-based transport under low to medium passenger demand conditions |
| title_full | Optimal investment strategies for bus-based transport under low to medium passenger demand conditions |
| title_fullStr | Optimal investment strategies for bus-based transport under low to medium passenger demand conditions |
| title_full_unstemmed | Optimal investment strategies for bus-based transport under low to medium passenger demand conditions |
| title_short | Optimal investment strategies for bus-based transport under low to medium passenger demand conditions |
| title_sort | optimal investment strategies for bus based transport under low to medium passenger demand conditions |
| topic | UCTD Bus-based transport Sustainable transportation Public transport optimization Demand-responsive transport Low to medium passenger demand Engineering, built environment and information technology theses SDG-09 SDG-09: Industry, innovation and infrastructure Engineering, built environment and information technology theses SDG-11 SDG-11: Sustainable cities and communities Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production |
| url | http://hdl.handle.net/2263/50840 |