The Commuting Paradigm Drift and Shift in Gauteng Province, South Africa: Transport Dimensions and Implications

  • Authors

    • James Chakwizira
    • Peter Bikam
    • Thompson A. Adeboyejo
    https://doi.org/10.14419/ijet.v7i3.7.19045
  • Commuting, Constraints, Spatial Fragmentation, Transit Orientated Development, Strategies
  • South Africa’s extreme “spatial fragmentation, with large numbers of poor people dependent on public transport living far from the urban core, poses a severe challenge for access to work†[1]. The “2003 National Transportation Survey [2] revealed that about 24 percent of workers in Gauteng spend more than an hour travelling to work, with 31 percent of households spending more than 10 percent of their income on transport†[3]. “South African cities are evolving in the direction of being more multimodal or polycentric, which makes it more difficult to provide an efficient public transportation system†[4, 5]. This paper based on a desktop survey and insights from key stakeholders confirm that commuting paradigm drifts and shifts manifest themselves in Gauteng as traffic congestion, long commuting trips, high commuting costs, spatially extensive and a sprawled transportation network system. To respond to the multiple transport dimensions and implications, the paper recommends that a repertoire of practical, innovative strategies and measures be implemented such as expanding the bus rapid transport (BRT) Rea Vaya beyond the current phases, expanding the Gautrain line as well as the implantation of transit orientated development (TOD) as part of converting Gauteng province into a smart transportation and commuting region in South Africa.

     

     

  • References

    1. [1] Bertraud A and Richardson HW. (2004). Transit and density: Atlanta, the United States and Western Europe. In Richardson H, Bae C. 2004. Urban Sprawl in Western Europe and the United States. London: Ashgate, p. 293–310

      [2] Department of Transport (2005). National Travel Survey, 2004: p. 1-20

      [3] Financial and Fiscal Commission (2014) Understanding Housing Demand in South Africa, Midrand, South Africa

      [4] Statistics South Africa (2008) Income and Expenditure of Households 2005/2006, Analysis of Results, Pretoria, Government Printers, p. 1-45

      [5] Chakwizira J. (2007) The Question of Traffic Congestion and Decongestion in the Greater Johannesburg Region. In Proceedings of the Southern African Transport Conference (SATC), p. 499-511.

      [6] Chakwizira J (2016) Access and Constraints to Commuting in Gauteng Province, South Africa: p. i-ii.

      [7] StatsSA (2014). South African National Household Travel Survey: p. 1-109

      [8] UN-Habitat (2013) Planning and Design for Sustainable Urban Mobility: Global Report on Human Settlements 2013, Earthscan, London

      [9] Municipal Demarcation Board, (2015). www.demarcation.org.za

      [10] Anable, J. (2005). Complacent car addicts or‚ aspiring environmentalists? Identifying travel behaviour segments using attitude theory. Transport Policy 12: p. 65–78.

      [11] Golledge, R.G., Stimson, R.J., (1997). Spatial cognition, cognitive mapping, and cognitive maps. In: Golledge, R.G., Stimson, R.J. (Eds.), Spatial Behavior: A Geographic Perspective. The Guilford Press, New York

      [12] GCRO (Gauteng City-Region Observatory). (2011). Quality of Life in the Gauteng City-Region: 2011 findings. Results from the ‘Quality of Life’ sample survey of residents of the Gauteng city-region.

      [13] Wilkinson P. (2006). Transit-oriented development: a strategic instrument for spatial restructuring and public transport system enhancement in South African cities? Proceedings from the 25th Southern African Transport Conference, Pretoria, 10–13 July 2006, pp. 223–233.

      [14] Statistics South Africa (2011) Census 2011; p. 1-88

      [15] Gauteng Department of Public Transport, Roads and Works (DPTRW), (2013). 25-Year Integrated Transport Master Plan, Draft Plan: p. 1-134.

      [16] Moodley GY, Meintsma J, van Tonder MA, Kuppan SA and Baker SM. (2009). eThekwini municipal-wide household travel survey: travel behaviour findings. Proceedings (pp. 135–143) of 28th Southern African Transport Conference, Pretoria, South Africa, 6–9 July 2009

      [17] Arthur D. Little and UITP (International Association of Public Transport). (2014). The Future of Urban Mobility 2.0. Online available at www.adl.com/ FUM2.0

      [18] StatsSA (2013). General Household Survey. Pretoria: Re-public of South Africa.

      [19] Sustainable Energy Africa (SEA). (2006). State of Energy in South African Cities: p. 1-188.

      [20] IBM Corporation (2010). The globalization of traffic congestion: IBM 2010 commuter pain survey. Technical report, 2010: p. 1-6.

      [21] NPC (National Planning Commission). (2011). National Development Plan: p. 260.

      [22] SACN. (2014). From Housing to Human Settlements: Evolving Perspectives: p. 3.

      [23] Williams, J.J. (2000). “South Africa: Urban Transformationâ€, Cities, 17(3): p. 167-183.

      [24] Bertolini L. (2012). Integrating mobility and urban development agendas: a manifesto - disP - The Planning Review, Volume 48, 2012 - Issue 1: p. 16-26

      [26] Bertaud, A. (2008). International comparisons: spatial development and poverty, paper presented to the International Urban Development Workshop, World Bank, 9-10 April, Brummeria, South Africa.

      [27] Behrens R and Grey P. (2013). A case for smarter city growth: A strategic analysis of Cape Town’s phase 1a BRT system and its supporting land use environment. Proceedings from the 32nd Southern African Transport Conference (SATC), Pretoria, 8–11 July 2013.

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  • How to Cite

    Chakwizira, J., Bikam, P., & A. Adeboyejo, T. (2018). The Commuting Paradigm Drift and Shift in Gauteng Province, South Africa: Transport Dimensions and Implications. International Journal of Engineering & Technology, 7(3.7), 537-540. https://doi.org/10.14419/ijet.v7i3.7.19045