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Spatial Integration of Non-Motorized Transport and Urban Public Transport Infrastructure: A Case of Johannesburg

Author

Listed:
  • Brightnes Risimati

    (Sustainable and Smart Cities and Regions Group, Department of Urban and Regional Planning, University of Johannesburg, Johannesburg 0184, South Africa)

  • Trynos Gumbo

    (Sustainable and Smart Cities and Regions Group, Department of Urban and Regional Planning, University of Johannesburg, Johannesburg 0184, South Africa)

  • James Chakwizira

    (Urban and Regional Plannibg, North-West University, Potchestroom 2531, South Africa)

Abstract

Sustainability of transport infrastructure integration begins with involving an all-inclusive transportation chain instead of only focusing on one part of the journey. This is achieved by facilitating spatial integration between diverse transport modalities to allow for a multiplicity of travel opportunities. This paper unpacks the extent of the spatial integration of non-motorized transport and urban public transport infrastructure within the city of Johannesburg in South Africa. Cycling activity datasets derived from Strava Metro and the spatial data of urban public transport infrastructures were collected to demonstrate existing spatial patterns and infrastructure connectivity. Exploratory spatial data analysis and focal statistics analysis were central in the data processing. The findings reveal that cycling activities are separated from urban public transport infrastructure, and the city of Johannesburg’s transport system is characterized by spatially fragmented commuting and cycling operations, with limited to no sharing of infrastructure. Most public transport stations are not easily accessible for non-motorized transport and are characterized by inadequate cycling facilities. In conclusion, the identification of an urban public transportation catchment area becomes essential for developing cities such as Johannesburg. This can be used as tool for planning infrastructural upgrades and forecasting potential public transport ridership while also assessing the impacts of investments in transit planning. There is thus a need to integrate motorized urban public transport and cycling infrastructural developments toward promoting multi-mobility and infrastructure sharing.

Suggested Citation

  • Brightnes Risimati & Trynos Gumbo & James Chakwizira, 2021. "Spatial Integration of Non-Motorized Transport and Urban Public Transport Infrastructure: A Case of Johannesburg," Sustainability, MDPI, vol. 13(20), pages 1-17, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11461-:d:658417
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    References listed on IDEAS

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    1. Mishra, Sabyasachee & Welch, Timothy F. & Jha, Manoj K., 2012. "Performance indicators for public transit connectivity in multi-modal transportation networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(7), pages 1066-1085.
    2. Wang, Jinshuo & Samsura, D. Ary A. & van der Krabben, Erwin, 2019. "Institutional barriers to financing transit-oriented development in China: Analyzing informal land value capture strategies," Transport Policy, Elsevier, vol. 82(C), pages 1-10.
    3. Thembani Moyo & Alain Y Kibangou & Walter Musakwa, 2021. "Societal context-dependent multi-modal transportation network augmentation in Johannesburg, South Africa," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-25, April.
    4. Beukes, E.A. & Vanderschuren, M.J.W.A. & Zuidgeest, M.H.P., 2011. "Context sensitive multimodal road planning: a case study in Cape Town, South Africa," Journal of Transport Geography, Elsevier, vol. 19(3), pages 452-460.
    5. Zhu, Zhenran & Zhang, Anming & Zhang, Yahua, 2018. "Connectivity of intercity passenger transportation in China: A multi-modal and network approach," Journal of Transport Geography, Elsevier, vol. 71(C), pages 263-276.
    6. Tan Yigitcanlar & Md. Kamruzzaman, 2019. "Smart Cities and Mobility: Does the Smartness of Australian Cities Lead to Sustainable Commuting Patterns?," Journal of Urban Technology, Taylor & Francis Journals, vol. 26(2), pages 21-46, April.
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