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Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models
Dissertation (MEng (Transportation Engineering))--University of Pretoria, 2020.
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| Format: | Thesis |
| Language: | English |
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University of Pretoria
2022
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| _version_ | 1867613722987462656 |
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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 | © 2021 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 (MEng (Transportation Engineering))--University of Pretoria, 2020. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/88789 |
| institution | University of Pretoria (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:40:40.528Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| 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:2263/88789 Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models Venter, C.J. (Christoffel Jacobus) daniewatts@gmail.com Watts, Daniel UCTD Transport planning First Mile Trip Last Mile Trip Forecasting Discrete Choice Modelling Access/egress behavior 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-03 SDG-03: Good health and well-being Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Dissertation (MEng (Transportation Engineering))--University of Pretoria, 2020. The Gautrain is a rapid rail system in Gauteng, a province of South Africa. Currently, little is known about what causes the behaviour of Gautrain passengers concerning their choice of mode for their first- and last-mile trips. This thesis is a study of the first- and last-mile mode choice behaviour of Gautrain passengers. The study had three main aims. First, it aimed to develop the most accurate and statistically significant models of both first- and last-mile behaviour. Part of this aim was to try to understand the effect of non-traders on the stated preference data. To achieve this end, models were estimated with and without non-traders in the sample. Second, the study attempted to determine if there were any differences between commuters’ first- and last-mile behaviour. For this purpose, a stated preference survey was developed and put online. It was then marketed on the social media platforms of the Gautrain Management Agency, the body that manages the rail system. The results of the survey were analysed and cleaned of errors. Different discrete choice models were derived from the data to find the best fitting model structure. The last aim was to see how the developed models could be used to plan future access and egress services. Significant discrete choice models were developed on a reasonably representative sample of the Gautrain population. The best-fitting model structure was a nested one for both first- and last-mile trips. These models show that while first- and last-mile commuter behaviour was similar, there were some differences. In particular, people are much more sensitive to invehicle time for their last-mile journey in comparison to their first-mile journey. This exercise showed that although non-trader data reduced the effectiveness and significance of the model slightly, the data did not change the overall picture shown by the models without non-traders. mi2025 Civil Engineering MEng (Transportation Engineering) Unrestricted SDG-09: Industry, innovation and infrastructure SDG-11: Sustainable cities and communities SDG-03: Good health and well-being SDG-12: Responsible consumption and production 2022-12-14T08:57:25Z 2022-12-14T08:57:25Z 2022-05-20 2020 Dissertation * A2022 https://repository.up.ac.za/handle/2263/88789 en © 2021 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 Transport planning First Mile Trip Last Mile Trip Forecasting Discrete Choice Modelling Access/egress behavior 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-03 SDG-03: Good health and well-being Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models |
| title | Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models |
| title_full | Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models |
| title_fullStr | Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models |
| title_full_unstemmed | Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models |
| title_short | Exploring the access/egress behaviour of rapid rail passengers through the application of nested logit models |
| title_sort | exploring the access egress behaviour of rapid rail passengers through the application of nested logit models |
| topic | UCTD Transport planning First Mile Trip Last Mile Trip Forecasting Discrete Choice Modelling Access/egress behavior 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-03 SDG-03: Good health and well-being Engineering, built environment and information technology theses SDG-12 SDG-12: Responsible consumption and production |
| url | https://repository.up.ac.za/handle/2263/88789 |