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      Societal context-dependent multi-modal transportation network augmentation in Johannesburg, South Africa

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      PLoS ONE
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          Abstract

          In most developing countries, formal and informal transportation schemes coexist without effective and smart integration. In this paper, the authors show how to leverage opportunities offered by formal and informal transportation schemes to build an integrated multi-modal network. Precisely, the authors consider integration of rickshaws to a bus-train network, by taking into account accessibility and societal constraints. By modelling the respective networks with weighted graphs, a graph augmentation problem is solved with respect to a composite cost taking into account constraints on the use of rickshaws. The solution, is based on finding a minimum cost spanning tree of a merged graph. The method is applied in the South African context, in the city of Johannesburg where rickshaws are not yet a significant part of the transportation system. The implications of the study reveal that using non-motorised transportation services is a viable option of improving mobility in the city. The composite cost introduced herein could be used for new routing algorithm including societal, environmental, architectural contexts and commuter experiences through rating.

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          The centrality index of a graph

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: MethodologyRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: Project administrationRole: SupervisionRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2021
                8 April 2021
                : 16
                : 4
                : e0249014
                Affiliations
                [1 ] Department of Urban and Regional Planning, Future Earth and Ecosystems Services Research Group, Doornfontein Campus, University of Johannesburg, Johannesburg, South Africa
                [2 ] Gipsa-Lab, CNRS, Inria, Univ. Grenoble Alpes, Grenoble, France
                Univ. Lyon, ENTPE, Univ. Gustave Eiffel, FRANCE
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9938-2907
                https://orcid.org/0000-0002-8662-2534
                Article
                PONE-D-20-27903
                10.1371/journal.pone.0249014
                8031397
                33831005
                9034a649-5c65-48f1-a98c-6b7524231eaa
                © 2021 Moyo et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 4 September 2020
                : 9 March 2021
                Page count
                Figures: 18, Tables: 0, Pages: 25
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Earth Sciences
                Geography
                Human Geography
                Human Mobility
                Social Sciences
                Human Geography
                Human Mobility
                Engineering and Technology
                Transportation
                Computer and Information Sciences
                Data Management
                Data Visualization
                Infographics
                Graphs
                Computer and Information Sciences
                Network Analysis
                Centrality
                Social Sciences
                Economics
                Commerce
                Payment
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Body Weight
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Sciences
                Sociology
                Social Networks
                Engineering and Technology
                Civil Engineering
                Transportation Infrastructure
                Engineering and Technology
                Transportation
                Transportation Infrastructure
                Custom metadata
                The data underlying the results presented in the study are available from: https://ieee-dataport.org/open-access/bus-network-and-occupation-survey-johannesburg The DOI is 10.21227/xnv8-zh36.

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                Uncategorized

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