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Sustainability 2013, 5(12), 5289-5318; doi:10.3390/su5125289

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

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
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Received: 26 September 2013 / Revised: 1 November 2013 / Accepted: 28 November 2013 / Published: 9 December 2013
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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. View Full-Text
Keywords: low carbon precinct; integrated demand forecasting; performance indicators; resource management; waste diversion rate; zero waste low carbon precinct; integrated demand forecasting; performance indicators; resource management; waste diversion rate; zero waste
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lehmann, S.; Zaman, A.U.; Devlin, J.; Holyoak, N. Supporting Urban Planning of Low-Carbon Precincts: Integrated Demand Forecasting. Sustainability 2013, 5, 5289-5318.

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