Using agent-based modelling techniques to understand and predict water conservation behaviours
This paper develops a pilot model which demonstrates the potential to use agent based modelling to evaluate the potential level of success of potential future water conservation programs or identify ways to improve the adoption existing programs.
The NED modelling capability: utilisation and engagement planning
This technical report presents a series of research projects funded by the Low Carbon Living (LCL) CRC, the CSIRO and agencies such as Sydney Water, Sustainability Victoria and the NSW Office of Environment and Heritage have been developing and piloting an Agent-Based Modelling (ABM) approach...
RP 3035 final report: modelling uptake of water conservation and efficiency measures in Sydney
The Modelling the Uptake of Water Conservation and Efficiency Measures in Sydney report team worked with Sydney Water’s WaterFix Program to validate their agent based, decision-making model aimed at encouraging consumers to participate in water saving programs.
The commercialisation of CSIRO energy efficiency policy adoption diffusion modelling
This paper is a review of the potential commercialisation and adoption pathways for a suite of energy efficiency policy-uptake modelling capabilities from the Commonwealth Scientific and Industrial Research Organisation’s (CSIRO). Common Capital undertook this review for the Cooperative Research Centre (CRC) for Low Carbon Living...
Impact assessment of inhabitants on the economic potential of energy efficient refurbishment by means of a novel socio-technical multi-agent simulation
Purpose / Context – Studies of building design and economic feasibility for energy-efficient refurbishments often utilise average temperatures for the heated space in a dwelling. As even small deviations have a significant impact on the resulting energy demand, an occupant-centred simulation is necessary for more...
An agent-based model of the housing market: steps toward a computational tool for policy analysis
This thesis develops a beta version of a new agent-based model of the Danish housing market, which is well suited to throw light on a range of aspects concerning business cycles and macro-prudential regulation. In particular, the model is employed to analyze the effects of...
An agent-based model of the housing market bubble in metropolitan Washington, D.C.
Several independent datasets concerning household behavior in the Washington, D.C. metropolitan area are combined to create an agent-based model of the recent housing market bubble and its aftermath. Comprehensive data on housing stock attributes, primarily from local government sources, are used as input to the...
An agent-based model of the English housing market
Markets for domestic housing in countries like England differ from other markets because the stock is fixed in the short term, buyers need to raise mortgages to finance their purchases and prices tend to be set through intermediaries (‘estate agents’ or realtors). We introduce an...