Supporting Densification through the Planning and Implementation of Road Infrastructure in the South African Context
This paper demonstrates a proof of concept whereby shorter trips and land use densification can be promoted through an alternative approach to planning and implementation of road infrastructure in the South African context. It briefly discusses how the development of the Compact City concept relies on a combination of promoting shorter trips and densification through a change in focus in road infrastructure provision. The methodology developed in this paper uses a traffic model to test the impact of synthesized deterrence functions on congestion locations in the road network through the assignment of traffic on the study network. The results from this study demonstrate that intelligent planning of road infrastructure can indeed promote reduced urban sprawl, increased residential density and mixed-use areas which are supported by an efficient public transport system; and reduced dependence on the freeway network with a fixed road infrastructure budget. The study has resonance for all cities where urban sprawl is seemingly unstoppable.
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 Britannica (2019). Urban Sprawl. Available from https://www.britannica.com/topic/urban-sprawl (Accessed 09 September 2019).
 Cooke, S. and Behrens, R. (2014). A Comparative Empirical Analysis of the Relationship between Public Transport and Land Use Characteristics. Paper presented at 33rd Annual Southern African Transport Conference. Pretoria, South Africa, 7-10 July 2014. Cape Town: Department of Civil Engineering at the University of Cape Town.
 Sieg, S M. and Landre, M. (1991). The Measurement of Residential Sprawl in The Johannesburg Metropolitan Area. S.l, p 3-9.
 Yusuf, MP. and Allopi, D. (2010). The Impact of Urban Sprawl on the Inhabitants of the eThekwini Municipality and the Provision of Infrastructure. Paper presented at 29th Annual Southern African Transport Conference. Pretoria, South Africa, 16-19 August 2010. Durban: Durban University of Technology, pp 415-424.
 McKinsey & Company (2018). Elements of success: Urban transportation systems of 24 global cities. (no publication details given).
 National Cooperative Highway Research Program (NCHRP) (2018) Integrated Transportation and Land Use Models. Washington DC.
 Bertaud, A 2003, The Spatial Organization of Cities: Deliberate Outcome or Unforeseen Consequence?, World Development Report 2003: Dynamic Development in a Sustainable World, World Bank.
 Levinson, DM 1998, ‘Accessibility and the Journey to Work’, Journey of Transport Geography, vol. 6, no. 1, pp. 11-21
 Cervero, R 1989, ‘Jobs-Housing Balancing and Regional Mobility’, Journal of the American Planning Association, vol. 55, no. 2, pp. 136-150.
 Lin, D., Allan, A. and Cui, J. (2013). Does Polycentric Urban Spatial Development Lead to Less Commuting: A Perspective of Jobs-housing Balance. Paper presented at 49th ISOCARP Congress. Australia, 1-4 October 2013. Australia: Universities of South Australia and Griffith University, pp 1-10.
 Varma, GR. (2017). A Study on New Urbanism and Compact City and their Influence on Urban Mobility. Paper presented at 2nd IEEE International Conference on Intelligent Transportation Engineering. Singapore, 1-3 September 2017. United States of America: Transportation Systems and Design, Art Center College of Design, pp 250-253.
 Holz-Rau, C., Sceiner J. and Sicks, K. (2013), ‘Travel Distances in daily travel and long-distance travel: what role is played by urban form?’, Environment and Planning, vol. 46, pp. 488-507.
 C40 Knowledge hub (2019). How to make public transport an attractive option in your city. Available from https://www.c40knowledgehub.org/s/article/How-to-make-public-transport-an-attractive-option-in-your-city?language=en_US (Accessed 20 September 2019).
 Frank, LD & Pivo, G 1994, An Analysis of Relationships Between Urban Form (Density, Mix, and Jobs: Housing Balance) and Travel Behaviour (Mode Choice, Trip Generation, Trip Length, and Travel Time), Washington State Transportation Center (TRAC), University of Washington, Seattle.
 Ortúzar, J., & Willumsen, L. (2011). Modelling Transport, Fourth Edition. Wiley.
 Simpson, Z., McKay, T., Patel, N., Sithole, A., van den Berg, R. and Chipp, K. 2014, Past and Present Travel Patterns in the Gauteng City Region, University of Johannesburg.
 Litman, T, Victoria Transport Policy Institute (2019). Evaluating Transportation Land Use Impacts. Available from https://scholar.google.co.za/scholar?q=evaluating+transportation+land+use+impacts+site:http://www.vtpi.org&hl=en&as_sdt=0&as_vis=1&oi=scholart (Accessed 22 March 2019).
 Mladenovic, Milos & Trifunovic, Aleksandar. (2014). The Shortcomings of the Conventional Four Step Travel Demand Forecasting Process. Journal of Road and Traffic Engineering.
 N. Oppenheim, (1995). Urban travel demand modeling: from individual choices to general equilibrium: John Wiley and Sons.