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Supporting Urban Planning of Low-Carbon Precincts: Integrated Demand Forecasting

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  • Steffen Lehmann

    (Zero Waste Research Centre for Sustainable Design and Behaviour (sd+b), School of Art, Architecture and Design, University of South Australia (UniSA), GPO Box 2471, Adelaide, SA 5001, Australia)

  • Atiq U. Zaman

    (Zero Waste Research Centre for Sustainable Design and Behaviour (sd+b), School of Art, Architecture and Design, University of South Australia (UniSA), GPO Box 2471, Adelaide, SA 5001, Australia)

  • John Devlin

    (Zero Waste Research Centre for Sustainable Design and Behaviour (sd+b), School of Art, Architecture and Design, University of South Australia (UniSA), GPO Box 2471, Adelaide, SA 5001, Australia)

  • Nicholas Holyoak

    (Zero Waste Research Centre for Sustainable Design and Behaviour (sd+b), School of Art, Architecture and Design, University of South Australia (UniSA), GPO Box 2471, Adelaide, SA 5001, Australia)

Abstract

Waste is a symbol of inefficiency in modern society and represents misallocated resources. This paper outlines an on-going interdisciplinary research project entitled “Integrated ETWW demand forecasting and scenario planning for low-carbon precincts” and reports on first findings and a literature review. This large multi-stakeholder research project develops a shared platform for integrated ETWW (energy, transport, waste and water) planning in a low-carbon urban future, focusing on synergies and alternative approaches to urban planning. The aim of the project is to develop a holistic integrated software tool for demand forecasting and scenario evaluation for residential precincts, covering the four domains, ETWW, using identified commonalities in data requirements and model formulation. The authors of this paper are overseeing the waste domain. A major component of the project will be developing a method for including the impacts of household behavior change in demand forecasting, as well as assessing the overall carbon impacts of urban developments or redevelopments of existing precincts. The resulting tool will allow urban planners, municipalities and developers to assess the future total demands for energy, transport, waste and water whilst in the planning phase. The tool will also help to assess waste management performance and materials flow in relation to energy and water consumption and travel behavior, supporting the design and management of urban systems in different city contexts.

Suggested Citation

  • Steffen Lehmann & Atiq U. Zaman & John Devlin & Nicholas Holyoak, 2013. "Supporting Urban Planning of Low-Carbon Precincts: Integrated Demand Forecasting," Sustainability, MDPI, vol. 5(12), pages 1-30, December.
    • Handle: RePEc:gam:jsusta:v:5:y:2013:i:12:p:5289-5318:d:31145
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    References listed on IDEAS

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    1. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    2. Lawrence, Michael & Goodwin, Paul & O'Connor, Marcus & Onkal, Dilek, 2006. "Judgmental forecasting: A review of progress over the last 25 years," International Journal of Forecasting, Elsevier, vol. 22(3), pages 493-518.
    3. repec:dau:papers:123456789/2907 is not listed on IDEAS
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    Cited by:

    1. Chuyu Xia & Yan Li & Yanmei Ye & Zhou Shi & Jingming Liu, 2017. "Decomposed Driving Factors of Carbon Emissions and Scenario Analyses of Low-Carbon Transformation in 2020 and 2030 for Zhejiang Province," Energies, MDPI, vol. 10(11), pages 1-16, October.

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