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Development of a decision support tool for transit network design evaluation
Municipalities increasingly have less financial resources to spend on implementation of transport strategies and plans. This situation is putting pressure on transport professionals to minimize wasteful expenditure on projects that do not deliver high transport service improvements. As such, the nee...
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| Format: | Thesis |
| Language: | English |
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Department of Civil Engineering
2022
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| _version_ | 1867613262509506560 |
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| access_status_str | Open Access |
| author | Mzengereza, Isaac |
| author2 | Zuidgeest, Marcus |
| author_browse | Mzengereza, Isaac Zuidgeest, Marcus |
| author_facet | Zuidgeest, Marcus Mzengereza, Isaac |
| author_sort | Mzengereza, Isaac |
| collection | Thesis |
| description | Municipalities increasingly have less financial resources to spend on implementation of transport strategies and plans. This situation is putting pressure on transport professionals to minimize wasteful expenditure on projects that do not deliver high transport service improvements. As such, the need for efficient, pragmatic decision making on policy direction, infrastructure expenditure, or any transport interventions is becoming very critical. Thus, transport professionals are increasingly in need of tools to help them predict with increased accuracy the outcomes of their intended transport interventions. The City of Cape Town has a Bus Rapid Transport system called MyCiTi. Current MyCiTi operations are incurring losses. The service is kept running on the back of subsidies from the federal government. There is a need for rationalization of the system. However, with strained resources, the interventions on the system have to guarantee improvements. Overemphasis on the ability of MyCiTi BRT service to support transportation during the 2010 soccer world cup event heavily influenced the design of the network. As a result, network appraisal is one area that can be done on the system to identify areas of improvement. In this thesis, decision making support will be demonstrated using a network design appraisal process for the MyCiTi BRT system in Cape Town. The existing MyCiTi network will undergo network improvement using heuristic node insertion technique leading to multiple network scenarios in a modeling environment. Agent-Based demand mobility behavior simulation will be used on each of the network scenarios to come up with network performance indicators. These network performance indicators will be used in the multi-criteria decision analysis (MCDA) model to come up with a ranking of the network scenarios and help in deciding on the optimum network improvement intervention. Overall, findings of this research show the importance of weighting of the performance indicators. Where networks that score well in the performance indicator with the high weights also rank high. In conclusion, the study has demonstrated the importance of decision making support in interventions on complex systems like bus systems. Recommendations on the possible avenues of research stemming from this thesis have also been outlined. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/35953 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:21.255Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Department of Civil Engineering |
| publisherStr | Department of Civil Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/35953 Development of a decision support tool for transit network design evaluation Mzengereza, Isaac Zuidgeest, Marcus Nnene, Obiora Agent Based Modelling Route Node Insertion Multi-Criteria Decision Analysis Municipalities increasingly have less financial resources to spend on implementation of transport strategies and plans. This situation is putting pressure on transport professionals to minimize wasteful expenditure on projects that do not deliver high transport service improvements. As such, the need for efficient, pragmatic decision making on policy direction, infrastructure expenditure, or any transport interventions is becoming very critical. Thus, transport professionals are increasingly in need of tools to help them predict with increased accuracy the outcomes of their intended transport interventions. The City of Cape Town has a Bus Rapid Transport system called MyCiTi. Current MyCiTi operations are incurring losses. The service is kept running on the back of subsidies from the federal government. There is a need for rationalization of the system. However, with strained resources, the interventions on the system have to guarantee improvements. Overemphasis on the ability of MyCiTi BRT service to support transportation during the 2010 soccer world cup event heavily influenced the design of the network. As a result, network appraisal is one area that can be done on the system to identify areas of improvement. In this thesis, decision making support will be demonstrated using a network design appraisal process for the MyCiTi BRT system in Cape Town. The existing MyCiTi network will undergo network improvement using heuristic node insertion technique leading to multiple network scenarios in a modeling environment. Agent-Based demand mobility behavior simulation will be used on each of the network scenarios to come up with network performance indicators. These network performance indicators will be used in the multi-criteria decision analysis (MCDA) model to come up with a ranking of the network scenarios and help in deciding on the optimum network improvement intervention. Overall, findings of this research show the importance of weighting of the performance indicators. Where networks that score well in the performance indicator with the high weights also rank high. In conclusion, the study has demonstrated the importance of decision making support in interventions on complex systems like bus systems. Recommendations on the possible avenues of research stemming from this thesis have also been outlined. 2022-03-06T19:23:33Z 2022-03-06T19:23:33Z 2021 2022-03-06T19:21:57Z Master Thesis Masters MSc (Eng) http://hdl.handle.net/11427/35953 eng application/pdf Department of Civil Engineering Faculty of Engineering and the Built Environment |
| spellingShingle | Agent Based Modelling Route Node Insertion Multi-Criteria Decision Analysis Mzengereza, Isaac Development of a decision support tool for transit network design evaluation |
| thesis_degree_str | Master's |
| title | Development of a decision support tool for transit network design evaluation |
| title_full | Development of a decision support tool for transit network design evaluation |
| title_fullStr | Development of a decision support tool for transit network design evaluation |
| title_full_unstemmed | Development of a decision support tool for transit network design evaluation |
| title_short | Development of a decision support tool for transit network design evaluation |
| title_sort | development of a decision support tool for transit network design evaluation |
| topic | Agent Based Modelling Route Node Insertion Multi-Criteria Decision Analysis |
| url | http://hdl.handle.net/11427/35953 |
| work_keys_str_mv | AT mzengerezaisaac developmentofadecisionsupporttoolfortransitnetworkdesignevaluation |