A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa
dc.contributor.advisor | Zuidgeest, Marcus | |
dc.contributor.author | Smith, Joanet | |
dc.date.accessioned | 2022-03-15T12:05:39Z | |
dc.date.available | 2022-03-15T12:05:39Z | |
dc.date.issued | 2021 | |
dc.date.updated | 2022-03-15T12:04:23Z | |
dc.description.abstract | The transport sector plays an integral role in a country's development and economy. Optimised transport networks and infrastructure can lead to increased economic development. Effective transport networks and public transportation systems are, therefore, essential to growing the South African economy. With an increasing demand for transportation services required by the South African population, the need exists to expand the capacity of local public transport networks. With this need declared, and grants released by the government, a high demand exists for the estimation, analysis, optimisation and forecast of public transport systems in South Africa. Public transportation studies are directly related to commuter demand as a result of commuter choices. Therefore, a key component for understanding the operational functionality of a public transport system lies in the accurate modelling of commuter choices. Although the spatial separation of activities forms the essence of travel demand, incorporating the effects of geospatial properties in travel behaviour modelling has only been formally studied in recent years. These recent studies noted a trend proposing that geospatial properties can influence travel behaviour. In the stated research, the need to investigate the effect of geospatial properties on travel behaviour was highlighted. With travel behaviour being the result of commuter choices, a multinomial logit choice modelling study was conducted to investigate the effect of geospatial properties on commuter destination choice for the case of the MyCiTi Integrated Rapid Transit system in Cape Town, South Africa. | |
dc.identifier.apacitation | Smith, J. (2021). <i>A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa</i>. (). ,Faculty of Engineering and the Built Environment ,Department of Civil Engineering. Retrieved from http://hdl.handle.net/11427/36096 | en_ZA |
dc.identifier.chicagocitation | Smith, Joanet. <i>"A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa."</i> ., ,Faculty of Engineering and the Built Environment ,Department of Civil Engineering, 2021. http://hdl.handle.net/11427/36096 | en_ZA |
dc.identifier.citation | Smith, J. 2021. A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa. . ,Faculty of Engineering and the Built Environment ,Department of Civil Engineering. http://hdl.handle.net/11427/36096 | en_ZA |
dc.identifier.ris | TY - Master Thesis AU - Smith, Joanet AB - The transport sector plays an integral role in a country's development and economy. Optimised transport networks and infrastructure can lead to increased economic development. Effective transport networks and public transportation systems are, therefore, essential to growing the South African economy. With an increasing demand for transportation services required by the South African population, the need exists to expand the capacity of local public transport networks. With this need declared, and grants released by the government, a high demand exists for the estimation, analysis, optimisation and forecast of public transport systems in South Africa. Public transportation studies are directly related to commuter demand as a result of commuter choices. Therefore, a key component for understanding the operational functionality of a public transport system lies in the accurate modelling of commuter choices. Although the spatial separation of activities forms the essence of travel demand, incorporating the effects of geospatial properties in travel behaviour modelling has only been formally studied in recent years. These recent studies noted a trend proposing that geospatial properties can influence travel behaviour. In the stated research, the need to investigate the effect of geospatial properties on travel behaviour was highlighted. With travel behaviour being the result of commuter choices, a multinomial logit choice modelling study was conducted to investigate the effect of geospatial properties on commuter destination choice for the case of the MyCiTi Integrated Rapid Transit system in Cape Town, South Africa. DA - 2021 DB - OpenUCT DP - University of Cape Town KW - Engineering LK - https://open.uct.ac.za PY - 2021 T1 - A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa TI - A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa UR - http://hdl.handle.net/11427/36096 ER - | en_ZA |
dc.identifier.uri | http://hdl.handle.net/11427/36096 | |
dc.identifier.vancouvercitation | Smith J. A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa. []. ,Faculty of Engineering and the Built Environment ,Department of Civil Engineering, 2021 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/36096 | en_ZA |
dc.language.rfc3066 | eng | |
dc.publisher.department | Department of Civil Engineering | |
dc.publisher.faculty | Faculty of Engineering and the Built Environment | |
dc.subject | Engineering | |
dc.title | A geospatial investigation of destination choice modelling. The case of the MYCITI integrated rapid transit bus system, Cape Town, South Africa | |
dc.type | Master Thesis | |
dc.type.qualificationlevel | Masters | |
dc.type.qualificationlevel | MSc |