Towards a simulation of minibuses in South Africa

After private cars, minibus taxis are the most common transport mode in South Africa. Especially for low-income citizens living in townships, minibus services are often the only possibility for mobility. Despite the great importance of the mode, there is very little knowledge of routes, fares, and t...

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Main Authors: Andreas Neumann, Daniel Röder, Johan W. Joubert
Format: Article
Language:English
Published: University of Minnesota 2015-02-01
Series:Journal of Transport and Land Use
Subjects:
Online Access:https://www.jtlu.org/index.php/jtlu/article/view/390
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spelling doaj-ffc810df0b124505bc2dd0be1519ee022021-08-31T04:38:17ZengUniversity of MinnesotaJournal of Transport and Land Use1938-78492015-02-018110.5198/jtlu.2015.390Towards a simulation of minibuses in South AfricaAndreas Neumann0Daniel Röder1Johan W. Joubert2Technische Universitat BerlinSenozon Deutschland GmbHUniversity of PretoriaAfter private cars, minibus taxis are the most common transport mode in South Africa. Especially for low-income citizens living in townships, minibus services are often the only possibility for mobility. Despite the great importance of the mode, there is very little knowledge of routes, fares, and the number of minibuses. Hence, it is difficult to simulate and to understand the influence of this mode on other modes and on transport planning in general. This article presents the development of the first ``close-to-reality'' minibus supply model based on demand and street network only. The approach adopts the survival-of-the-fittest principle, using a co-evolutionary algorithm that is integrated into a microscopic multi-agent simulation framework. The successful application of the approach to a large-scale, real-world scenario in the Nelson Mandela Bay Area Municipality in South Africa shows that it is able to identify the main minibus corridors as well as to find robust service coverage in lower-demand areas. The resulting minibus supply model can then be used for planning purposes (e.g., to investigate aspects of strategic, operational, or regulatory changes).https://www.jtlu.org/index.php/jtlu/article/view/390Multi agent simulationDemand responsiveParatransitMinibusJitneyComplex system
collection DOAJ
language English
format Article
sources DOAJ
author Andreas Neumann
Daniel Röder
Johan W. Joubert
spellingShingle Andreas Neumann
Daniel Röder
Johan W. Joubert
Towards a simulation of minibuses in South Africa
Journal of Transport and Land Use
Multi agent simulation
Demand responsive
Paratransit
Minibus
Jitney
Complex system
author_facet Andreas Neumann
Daniel Röder
Johan W. Joubert
author_sort Andreas Neumann
title Towards a simulation of minibuses in South Africa
title_short Towards a simulation of minibuses in South Africa
title_full Towards a simulation of minibuses in South Africa
title_fullStr Towards a simulation of minibuses in South Africa
title_full_unstemmed Towards a simulation of minibuses in South Africa
title_sort towards a simulation of minibuses in south africa
publisher University of Minnesota
series Journal of Transport and Land Use
issn 1938-7849
publishDate 2015-02-01
description After private cars, minibus taxis are the most common transport mode in South Africa. Especially for low-income citizens living in townships, minibus services are often the only possibility for mobility. Despite the great importance of the mode, there is very little knowledge of routes, fares, and the number of minibuses. Hence, it is difficult to simulate and to understand the influence of this mode on other modes and on transport planning in general. This article presents the development of the first ``close-to-reality'' minibus supply model based on demand and street network only. The approach adopts the survival-of-the-fittest principle, using a co-evolutionary algorithm that is integrated into a microscopic multi-agent simulation framework. The successful application of the approach to a large-scale, real-world scenario in the Nelson Mandela Bay Area Municipality in South Africa shows that it is able to identify the main minibus corridors as well as to find robust service coverage in lower-demand areas. The resulting minibus supply model can then be used for planning purposes (e.g., to investigate aspects of strategic, operational, or regulatory changes).
topic Multi agent simulation
Demand responsive
Paratransit
Minibus
Jitney
Complex system
url https://www.jtlu.org/index.php/jtlu/article/view/390
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