Agent-based modelling

Conference paper

Using agent-based modelling techniques to understand and predict water conservation behaviours

Adoption of water conservation measures is one-way water utilities and community are able to reduce the demand on finite water resources by a growing population, and adaptively manage the impacts of episodic droughts. To deliver effective and least cost water conservation programs in the future...
Technical report

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...

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...

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.

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...
Conference paper

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...

Agent-based modelling of residential mobility, housing choice and regeneration

Dynamics in the housing market can be simulated using agent-based modelling. Focusing on the theme of urban regeneration, we present a housing market model framework which explores the causal relationships that occur in this market.
Discussion paper

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...
Conference paper

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...