HC-RT9

Conference paper

3 Dec 2017

This paper describes the development and calibration of a model developed for the Illawarra region to aid regional planning for transport, housing and jobs.

Journal article

3 Dec 2017

Crowdsourced data hold great potential in creating metrics which can support city planning.

Journal article

2 Nov 2017

In an era of smart cities, planning support systems (PSS) offer the potential to harness the power of urban big data and support land-use and transport planning. PSS encapsulate data-driven modelling approaches for envisioning alternative future cities scenarios. They are widely available but have limited...

Report

2 Aug 2017

This research developed a housing need simulation to quantify the need for affordable housing and identify the supply required to meet the demand for housing. This information is important for resource allocation, market monitoring, setting affordable housing targets, housing assistance budgeting and evidence for affordable...

Report

27 Jul 2017

How will the changing nature of work and the transformation enabled by new technologies and the knowledge economy play out in Australia? To better understand these impacts on our cities and inform our policy and planning responses, this report builds a knowledge cities index (KCI)...

Report

A Sustainable Built Environment National Research Centre (SBEnrc) industry report
1 Apr 2017

Australian cities, especially the four big ones, are growing rapidly. Their growth enables many agglomeration benefits and creates many social and environmental impacts. This report examines new approaches to resolving how we can grow to create new opportunities for our children and grandchildren but at...

Chapter

11 Jan 2017

This paper explores four modelling challenges and proposes future trends for agent-based modelling of urban systems to better support planning decisions.

Conference paper

15 Jul 2016

Understanding the flows of people moving through the built environment is a vital source of information for the planners and policy makers who shape our cities. Smart phone applications enable people to trace themselves through the city and these data can potentially be then aggregated...

Thesis

Linking micro-level behavior to macro-level analysis
15 Jun 2016

The purpose of this thesis is to develop an agent-based model (ABM) of a metropolitan housing market. An ABM is a computational model where the micro-level behavior of agents is simulated in order to analyse macro-level emergent phenomena.

Other text

13 Mar 2016

This report is an output from a scoping study of living laboratories (RP3005: CRC Living Laboratory Framework), which examined what living labs are, their benefits and what they need to be successful. It is primarily intended to inform partners in current and prospective CRCLCL projects,...

Conference paper

11 Dec 2015

There is a growing imperative for infrastructure decisions in Australia to be based on evidenced based approaches which are data driven. Urban growth modelling is increasingly being used in strategic infrastructure planning practice. However, current models tend to be "once-off" applications based on static equilibrium...

Thesis

2 Sep 2015

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...

Commentary

23 Jul 2015

“Big data” is a growing area of interest for public policy makers: for example, it was highlighted in UK Chancellor George Osborne’s recent budget speech as a major means of improving efficiency in public service delivery. While big data can apply to government at every...

Chapter

21 May 2015

A review of the Australian Urban Intelligence Network (AURIN) project: the network of researchers, planners and policy-makers involved, the online workbench of data and tools, and the urban data and analytical capability it offers.

Journal article

2 Jul 2014

In this paper, a model based on Artificial Neural Network (ANN) has been applied to real estate appraisal. Moreover, an evaluation of ANN performances in estimating the sale price of residential properties has been carried out. Artificial Neural Networks (ANNs) are useful in modelling input-output...

Discussion paper

25 May 2014

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...

Journal article

3 Jul 2013

Abstract:

'Smart cities' is a term that has gained traction in academia, business and government to describe cities that, on the one hand, are increasingly composed of and monitored by pervasive and ubiquitous computing and, on the other, whose economy and governance is...

Conference paper

30 Jun 2009

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...

Essay

15 Nov 2008

Urban spaces have become blended even more seamlessly with their portrayal. Such representations are generated via a broad range of media which both influence and sculpt our sense of their constitution so that our sense of what the urban is is inflected by a range...

Journal article

7 May 2002

Various location specific attributes cause segmentation of the housing market into submarkets. The question is, whether the most relevant partitioning criteria are directly related to the transaction price or to other, socio-economic and physical, features of the location. On the empirical side, several methods have...

Overview

 

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