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Estimating accessibility using a Markov chain model accounting for traffic on the South African road network
Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2024.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2025
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| _version_ | 1867613573846401024 |
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| access_status_str | Open Access |
| author2 | Thiede, Renate |
| author_browse | Thiede, Renate |
| author_facet | Thiede, Renate |
| collection | Thesis |
| dc_rights_str_mv | © 2023 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 | Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2024. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/100826 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:38:18.160Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| 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:2263/100826 Estimating accessibility using a Markov chain model accounting for traffic on the South African road network Thiede, Renate u19046198@tuks.co.za Smit, Ansie Mdletshe, Philasande UCTD Sustainable Development Goals (SDGs) Accessibility Markov chain Transition probability matrix Traffic Louvain clustering Mini Dissertation (MSc (Advanced Data Analytics))--University of Pretoria, 2024. Accessibility modelling has been investigated since the early 1960s. Accessibility is defined as the ease with which people can access destinations when using a particular mode of transport. It is largely important in urban planning, freight business, policy-making and sustainable development as it forms part of the SDG goals of rural accessibility. This research models accessibility in and between administrative units using the South African road network accounting for real life traffic data. Hence, this research investigates whether traffic volume has a direct impact on accessibility. This will be done through extending an existing Markov chain accessibility model by incorporating traffic data. The addition of traffic data can assist us in addressing several issues related to the South African road network, such as routes ambulances could take to avoid treacherous traffic conditions. The different available South African traffic data sources have been extensively investigated. This study indicates that traffic may have an impact on accessibility. This is displayed by the difference in transition probabilities between the current model and the total travel time model. Accessibility studies can truly add value in different aspects as it can be used as a factor in decision making that affect road networks in South Africa. We have provided a novel extension of an accessibility model. Statistics MSc (Advanced Data Analytics) Restricted Faculty of Natural and Agricultural Sciences SDG-01: No poverty SDG-11: Sustainable cities and communities 2025-02-13T10:01:29Z 2025-02-13T10:01:29Z 2025-04 2024-12 Mini Dissertation * A2025 http://hdl.handle.net/2263/100826 https://doi.org/10.25403/UPresearchdata.28401128 en © 2023 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 Sustainable Development Goals (SDGs) Accessibility Markov chain Transition probability matrix Traffic Louvain clustering Estimating accessibility using a Markov chain model accounting for traffic on the South African road network |
| title | Estimating accessibility using a Markov chain model accounting for traffic on the South African road network |
| title_full | Estimating accessibility using a Markov chain model accounting for traffic on the South African road network |
| title_fullStr | Estimating accessibility using a Markov chain model accounting for traffic on the South African road network |
| title_full_unstemmed | Estimating accessibility using a Markov chain model accounting for traffic on the South African road network |
| title_short | Estimating accessibility using a Markov chain model accounting for traffic on the South African road network |
| title_sort | estimating accessibility using a markov chain model accounting for traffic on the south african road network |
| topic | UCTD Sustainable Development Goals (SDGs) Accessibility Markov chain Transition probability matrix Traffic Louvain clustering |
| url | http://hdl.handle.net/2263/100826 https://doi.org/10.25403/UPresearchdata.28401128 |