Abstract
This chapter explores the importance of computational models and techniques in urban planning and unravels how it has been applied in other continents. It explores the efforts that have been made in Africa and analyzes the challenges in trying to use computational planning methods. It explores possible benefits that can result from using computational methods, some of which include easing master plan formulation. It reviews the existing gaps and opportunities for Africa. The desktop approach is foundational to this chapter as it is used to capture the center of the argument. A few case studies are used in the chapter to assess how computational urban planning has been successful in cities of other continents. The study shows the importance of applying computational urban planning in contributing to sustainability and efficiency in planning. It recommends the use of computational quantitative techniques in Africa and gives recommendable solutions to how African cities can counter planning challenges by using computational models. Computational urban planning models are effective toward accommodating rapid urbanization, easing master plan formulation, and ensuring sustainable and livable city environments.
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References
Archibugi, F. (2004). Planning theory: Reconstruction or requiem for planning? European Planning Studies, 12(3), 425–444.
Batty M. (2008). Cities as complex systems: Scaling, interactions, networks, dynamics and urban morphologies (UCL working papers series 131 – Feb 08). London: Centre for Advanced Spatial Analysis (CASA), University of London.
Bettencourt, L. M. (2019). Designing for complexity: The challenge to spatial design from sustainable human development in cities. Technology Architecture Design, 3(1), 24–32.
Campbell, S. (2013). Sustainable development and social justice: Conflicting urgencies and the search for common ground in urban and regional planning. Michigan Journal of Sustainability, 1, 75–91.
Chadwick, G. F. (1971). A systems view of planning: Towards a theory of the urban and regional planning process. Oxford: Pergamon.
Chigara, B., Magwaro-ndiweni, L., Mudzengerere, F., & Ncube, A. (2013). An analysis of the effects of piecemeal planning on development of small urban centres in Zimbabwe: Case study of Plumtree. Journal of Sustainable Development in Africa, 15(2), 27–40.
Dalberg. (2016). 100 resilient cities. Opportunities for building a more resilient Durban: Summary of systems analysis. Durban: Dalberg Global Development Advisors. Available at http://www.durban.gov.za/City_Services/development_planning_management/environmental_planning_climate_protection/About%20Durban%E2%80%99s%20Resilience%20Programm/Phase%20Two/Documents/DurbanSystemsAnalysis_DalbergFinalReport.pdf. Accessed 12 Nov 2018.
Department of Economic and Social Affairs (DESA). (2013). Sustainable development challenges. New York: United Nations Publishing.
Erem, Ö. (2003). An approach to the evaluation of the legibility for holiday villages. Unpublished doctoral thesis, Institute of Science and Technology, Istanbul Technical University.
Freire, M. (2006). Urban planning: Challenges in developing countries. Madrid: World Bank International Congress in Human Development.
Geertman, S., Allan, A., Zhan, Q., & Pettit, C. (2019). Computational urban planning and management for smart cities: An introduction. In S. Geertman, A. Allan, Q. Zhan, & C. Pettit (Eds.), Computational urban planning and management for smart cities (pp. 1–14). Cham: Springer.
Healey, P. (2007). Urban complexity and spatial strategies: Towards a relational planning for our times. London: Routledge and Royal Town Planning Institute.
Healey, P. (2010). Making better places: The planning project in the twenty-first century. Hampshire: Palgrave Macmillan.
Klein, B., & Koeinig, R. (2016). Computational urban planning: Using the value lab as control center. https://www.researchgate.net/publication/304265608_Computational_Urban_Planning_Using_the_Value_Lab_as_Control_Center/link/5783b2a408ae3f355b4a28ef/download
Klosterman, R. E. (1997). Planning support systems: A new perspective on computer-aided planning. Journal of Planning Education and Research, 17(1), 45–54.
Laffta, S. J., & Alrawi, A. (2018). Green technologies in sustainable urban planning. Baghdad: University of Baghdad.
Lall, S. V., Henderson, J. V., & Venables, A. J. (2017). Africa’s cities: Opening doors to the world. Washington, DC: World Bank Group.
Lane, M. B. (2005). Public participation: An intellectual history. Australian Geographer, 36(3), 283–299.
Lennon, M. (2015). Finding purpose in planning. Journal of Planning Education and Research, 35(1), 63–75.
Lennon, M. (2020). Planning as justification. Planning Theory & Practice. https://doi.org/10.1080/14649357.2020.1769918.
Matamanda, A. R. (2020). Mugabe’s urban legacy: A postcolonial perspective on urban development in Harare, Zimbabwe. Journal of Asian and African Studies. https://doi.org/10.1177/0021909620943620.
Miao, Y., Koenig, R., Buš, P., Chang, M.-C., Chirkin, A., & Treyer, L. (2017). Empowering urban design prototyping: A case study in Cape Town with interactive computational synthesis methods. In P. Janssen, P. Loh, A. Raonic, & M.A. Schnabel (Eds.), Protocols, flows and glitches – Proceedings of the 22nd CAADRIA conference (pp. 407–416).
Moor, J. (2001). Cities at risk. Habitat Debate, 7(4), 1–6.
Murphy, E., & Fox-Rogers, L. (2015). Perceptions of the common good in planning. Cities, 42, 231–241.
Pisano, C., De Luca, G., & Dastgerdi, A. S. (2019). Smart techniques in urban planning: An insight to the rule-based design. Sustainability, 12(1), 1–11. MDPI Center.
Taylor, N. (2009). Anglo-American town planning theory since 1945: Three significant developments but no paradigm shifts. In E. L. Birch (Ed.), The urban and regional planning reader (pp. 96–105). London: Routledge.
UNICEF. (2019). Shaping urbanization for children: A handbook on child-responsive urban planning. New York: United Nations.
United Nations Economic Commission for Africa (UNECA). (2017). Urbanization and national development planning in Africa. Addis Ababa: UNECA.
Watson, V. (2009). Urban challenges and the need to revisit urban planning. In B. C. Arimah, I. Jensen, N. D. Mutizwa-Mangiza, & E. A. Yemeru (Eds.), Planning sustainable cities: Global report on human settlements 2009. London: Earthscan.
Watson, V. (2014). African urban fantasies: Dreams or nightmares? Environment and Urbanization, 26(1), 215–231.
Wilson, L., Danforth, J., Davila, C. C., & Harvey, D. (2019). How to generate a thousand master plans: A framework for computational urban design. New York: KPF.
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Chirisa, I., Mazanhi, P., Matamanda, A.R. (2022). Computational Urban Planning. In: Brears, R.C. (eds) The Palgrave Encyclopedia of Urban and Regional Futures. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-87745-3_73
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