Integrated land use and transportation modelling and planning: A South African journey

Louis Waldeck

Council for Scientific and Industrial Research

Quintin van Heerden

Council for Scientific and Industrial Research

http://orcid.org/0000-0002-6217-9849

Jenny Holloway

Council for Scientific and Industrial Research

DOI: https://doi.org/10.5198/jtlu.2020.1635

Keywords: Integrated land-use and transportation modelling, Developing countries, UrbanSim, OpenTripPlanner, Urban Planning


Abstract

Confronted by poverty, income disparities and mounting demands for basic services such as clean water, sanitation and health care, urban planners in developing countries like South Africa, face daunting challenges. This paper explores the role of Integrated land use and  transportation modelling in metropolitan planning processes aimed at improving the spatial efficiency of urban form and ensuring that public sector investments in social and economic infrastructure contribute to economic growth and the reduction of persistent poverty and inequality. The value of such models is not in accurately predicting the future but in providing participants in the (often adversarial) planning process with a better understanding of cause and effect between different components of the urban system and in discovering common ground that could lead to compromise. This paper describes how an Urban Simulation Model was developed by adapting one of the leading microsimulation models (UrbanSim) originating from the developed world to South African conditions and how the requirements for microscopic data about the base year of a simulation were satisfied in a sparse data environment by introducing various typologies. A sample of results from three case studies in the cities of Tshwane, Ekurhuleni and Nelson Mandela Bay between 2013 and 2017 are then presented to illustrate how modelling supports the planning process by adding elements of rational analysis and hypothesis testing to the evaluation of proposed policies.


References

Africa.com. (2018). Home ownership in South Africa. Retrieved from https://africa.com/home-ownership-in-south-africa/

Alonso, W. (1964). Location and land use. Cambridge, MA: Harvard University Press.

Batty, M. (2005). Cities and complexity: Understanding cities with cellular automata, agent-based models and fractals. Cambridge, MA: MIT Press.

Cervero, R. (2013). Linking urban transport and land use in developing countries. Journal of Transport and Land Use, 6(1), 7–24.

Department of Human Settlements. (2019). Delivery of serviced sites and houses/units from the HSDG since 1994 (20 years). Retrieved from http://www.dhs.gov.za/sites/default/files/documents/statistics/20 Year delivery Sites & Houses HSDG finalised ver. 29052014.pdf

Developing Countries Population. (2019). Retrieved from http://worldpopulationreview.com/countries/developing-countries/

Di Zio, S., Montanari, A., & Staniscia, B. (2010). Simulation of urban development in the city of Rome. Framework, methodology, and problem solving. Journal of Transport and Land Use, 3(2), 85–105.

Felsenstein, D., Axhausen, K., & Waddell, P. (2010). Land use-transportation modeling with Urban- Sim: Experiences and progress. Journal of Transport and Land Use, 3(2), 1–3.

Felsenstein, D., Lichter, M., & Ashbel, E. (2014). Coastal congestion: Simulating port expansion and land use change under zero-sum conditions. Ocean & Coastal Management, 101, 89–101.

Geofabrik GmbH. (2018). OpenStreetMap data for South Africa. Retrieved from http://download.geofabrik.de/africa/south-africa-and-lesotho.html

Geoterra Image. (2001, 2011). Building based land use. Proprietary vector data set. Retrieved from http://www.geoterraimage.com/pdfs/101 Building Based Land Use.pdf

IHS Markit. (2012, 2016). Proprietary city-wide demographic and employment projections. Retrieved from http://www.ihsmarkit.co.za

Jin, J., & Lee, H. (2018). Understanding residential location choices: An application of the UrbanSim residential location model on Suwon, Korea. International Journal of Urban Sciences, 22(2), 216–235.

Joo, Y., Mehedy Hassan, M., & Jun, C. (2011). An application of the UrbanSim land price model in Yongsan-gu, Seoul, Korea. International Journal of Urban Sciences, 15(1), 15–24.

Knowledge Factory. (2006). Discontinued proprietary micro-marketing data set. Company profile retrieved from http://www.knowledgefactory.co.za/

Kryvobokov, M., Mercier, A., Bonnafous, A., & Bouf, D. (2015). Urban simulation with alternative road pricing scenarios. Case Studies on Transport Policy, 3, 196–205.

Lechner, T., Watson, B., Tisue, S., Wilensky, U., & Felsen, M. (2004). Procedural modeling of land use in cities (Technical report NWU-CS-04-38). Evanston, IL: Northwestern University, Center for Connected Learning and Computer-Based Modeling.

McFadden, D. (1974). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in econometrics (pp. 105–142). New York: Academic Press.

Moeckel, R. (2017). Constraints in household relocation: Modeling land-use/transport interactions that respect time and monetary budgets. Journal of Transport and Land Use, 10(2), 1–18.

National Treasury. (2015). Cities support program: Guidance note for the built environment performance plan. Retrieved from https://csp.treasury.gov.za/Projectdocuments/BEPP Guidelines2016_17.pdf

Patterson, Z., Kryvobokov, M., Marchal, F., & Bierlaire, M. (2010). Disaggregate models with aggregate data, two UrbanSim applications. Journal of Transport and Land Use, 3(2), 5–37.

Picard, N., de Palma, A., & Kiarash, M. (2015). Application of UrbanSim in Paris (Ile-de-France) case study. In M. Bierlaire, A. de Palma, R. Hurtubia & P. Waddell (Eds.), Integrated transport and land use modeling for sustainable cities (Chapter 20). Abingdon, UK, and Lausanne, Switzerland: Routledge and EPFL Press.

Rust, K. (2012, October). Opportunities in South Africa’s housing finance & delivery framework: Navigating the Gap. Paper presented at the Affordable Housing Indaba, Gauteng, South Africa.

Schirmer, P., Zöllig, C., Müller, K., Bodenmann, B., & Axhausen, K. (2011, September). The Zurich case study of UrbanSim. Paper presented at the 51st ERSA Conference, Barcelona, Spain.

Shi, J., Tong, X., Zhang, H., & Tao, D. (2013). Spatial interaction of urban residence and workplace: An UrbanSim application in Yichang, China. Beijing Daxue Xuebao (Ziran Kexue Ban)/Acta Scientiarum Naturalium Universitatis Pekinensis, 49, 1065–1074.

South African History Online. (2016). A history of Apartheid in South Africa. Retrieved from http://www.sahistory.org.za/article/history-apartheid-south-africa

Stats SA. (2013). National household travel survey. Retrieved from http://www.statssa.gov.za/publications/P0320/P03202013.pdf

Stats SA. (2015). Measuring household expenditure on public transport. Retrieved from http://www.statssa.gov.za/?p=5943

Stats SA. (2018). Victims of crime survey 2017/18. Retrieved from http://www.statssa.gov.za/?page_id=1854&PPN=P0341&SCH=7373

Stats SA. (2019a). Census 2011 statistical release. Retrieved from https://www.statssa.gov.za/publications/P03014/P030142011.pdf

Stats SA. (2019b). General household survey 2018. Retrieved from http://www.statssa.gov.za/?page_id=1854&PPN=P0318&SCH=7652

Stats SA. (2019c). Quarterly labor force survey, Quarter 2: 2019. Retrieved from http://www.statssa.gov.za/?page_id=1854&PPN=P0211&SCH=7620

Vanegas, C., Aliaga, D., Müller, P., Waddell, P., Watson, B., & Wonka, P. (2009). Modeling the appearance and behavior of urban spaces. Computer Graphics Forum, 29(1), 25–42.

Waddell, P. (2002). UrbanSim: Modeling urban development for land use, transportation and environmental planning. Journal of the American Planning Association, 68(3), 297–314.

Waddell, P. (2011). Integrated land use and transportation planning and modeling: Addressing challenges in research and practice. Transport Reviews, 31(2), 209–229.

Waldeck, L., & van Heerden, Q. (2017). Integrated land-use and transportation modelling in developing countries: Using OpenTripPlanner to determine lowest-cost commute trips. In I.M. Schoeman

(Ed.), Transportation, land use and integration: Applications in developing countries. Southampton, UK: WIT Press.

Wegener, M. (2007). Themes and relationships. In S. Marshall & D. Banister (Eds.), Land use and transport. Oxford, UK: Elsevier.

World Bank. (2011). GINI index. Retrieved from https://data.worldbank.org/indicator/SI.POV.GINI

Ye, X., Konduri, K., Pendyala, R., Sana, B., & Waddell, P. (2009, January). A methodology to match distributions of both household and person attributes in the generation of synthetic populations. Paper presented at the 88th Annual Meetings of the Transportation Research Board, Washington, DC.

Ziemke, D., Nagel, K., & Moeckel, R. (2016). Towards an agent-based, integrated land-use transport modeling system. Procedia Computer Science, 83, 958–963.