Christopher Pettit
Biographic Data
| ID | 4492288 |
|---|---|
| NAME | Christopher Pettit |
| GIVEN NAMES | Christopher |
| FAMILY NAME | Pettit |
| SIGNATURE | PETTIT C |
| AFFILIATIONS | UNSW Sydney |
| ORCID | 0000-0002-1328-9830 |
| VERIFIED | Yes |
| TOTAL WORKS | 46 |
| TOTAL CITATIONS | 51 |
| AUTHOR COUNT | 45 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 5 |
Aligning green spaces with human activity
Transforming urban planning through machine learning
Planning for sustainable urban growth is a pressing challenge facing many cities. Investigating proposed changes to the built environment can provide planners and policymakers information to understand future urban development trends and related infrastructure requirements. It is in this context we have developed a novel urban analytics approach that utilises planning applications (PAs) data and Natural Language Processing (NLP) techniques to for…
Capturing the distance decay effect of amenities on housing price using explainable artificial intelligence
The use of urban analytics in strategic planning – A case study of the greater Sydney region plan
Housing the Teacher Workforce
Globally, education systems are faced with dual workforce crises: a shortage of teachers and a lack of affordable housing. Attracting and retaining teachers through improved renumeration, working conditions, and quality preparation have been central. However, initiatives to attract and retain teachers mean little if the workforce cannot find appropriate (quality and affordable) housing within commuting distance to their workplaces. The present st…
Collaborative modelling for goal-oriented scenario planning
Worldwide, natural hazards have an increasing impact on ever expanding urbanised areas. Therefore, authorities need more sophisticated planning support systems (PSS) to enhance city resilience. This study explored the potential of a Cellular Automata-based model developed using Metronamica PSS for goal-oriented and collaborative resilience planning in the context of Greater Sydney, Australia. The process was embedded within a geodesign framework …
The Role of Neighbourhood Social and Built Environments – Including Third Places – in Older Adults’ Social Interactions
Neighbourhood environments shape older adults’ social interactions. This research conceptualises a comprehensive set of perceived and objective measures of neighbourhood social and built environments, including third places, with older adults’ social interactions. In Melbourne, based on the person-environment fit framework, mediation analyses showed that the perceived social environment measures of community spirit, participation in community gro…
A simple agent-based model for planning for bicycling
Bicycling can improve the sustainability and liveability of cities, many of which desperately require better active transport infrastructure. Urban and transport planners need to examine how improvements in infrastructure change bicyclists' behaviour. With this knowledge, investment in bicycling networks can be more efficient and encourage the use of bicycling for transportation. This study developed a simple Agent-Based Model (ABM) to simulate b…
Digital Technology Use and Future Expectations
Problem, research strategy, and findings The implications of digital technologies for planning practice are receiving renewed interest in the wake of ever-improving capabilities in Big Data and artificial intelligence, as well as the rapid uptake of new technologies that allowed planners to work remotely during the COVID-19 pandemic. Despite this interest, there has been little cross-country comparative research regarding the adoption of technolo…
Sharing public open spaces with local schools
Overcrowding has been recognised as a common issue in urban schools and a major barrier to children's outdoor activities in their school environments. Many urban schools draw on their neighbourhood open space yet associated governance issues have not been sufficiently analysed. This qualitative study explored key stakeholders' perspectives on various governance topics that supported or discouraged sharing neighbourhood open spaces with schools. W…
The 30-min city and latent walking from mode shifts
Greater public transport use may occur through meeting average travel times of 30 min or less, termed the “30-min city”. The quantification of public transport-related physical activity associated with the 30-min city is under-researched but needed to support policy interventions. In this study, latent walking steps associated with modal shifts from car use to public transport/walking are investigated using a synthetic population and trip plannin…
Bondi to Byron
In this paper, we look to compare the differential responses of metropolitan and regional rental markets in the first 12 months post-pandemic in New South Wales, Australia's most populous state.We employ descriptive statistics to analyse broad trends in both rental prices and transfers in and out of long-term rental supply through the short-term letting and property buyer markets.Moreover, we examine how these dynamics have played out at the loca…
Intelligence for Future Cities
The Impacts of Public Schools on Housing Prices of Residential Properties
Residential property values are influenced by a combination of physical, socio-economic and neighbourhood factors. This study investigated the influence of public schools on residential property prices. Relatively few existing models have taken the spatial heterogeneity of different submarkets into account. To fill this gap, three types of valuation models were applied to sales data from both non-strata and strata properties, and how the proximit…
Implementing a deep-learning model using Google street view to combine social and physical indicators of gentrification
Developing urban biking typologies
Extensive research has been conducted exploring associations between built environment characteristics and biking. However, these approaches have often lacked the ability to understand the interactions of the built environment, population and bicycle ridership. To overcome these limitations, this study aimed to develop novel urban biking typologies using unsupervised machine learning methods. We conducted a retrospective analysis of travel survey…
Building a predictive machine learning model of gentrification in Sydney
Intelligence for Future Cities
The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices
Cities often show residential income segregation, and the price of housing is generally related to employment accessibility, but how do these factors intersect? We analyse Greater Sydney, Australia, a metropolitan area of 5 million people. Sydney is found to have reasonably even employment accessibility by car, reflecting the increasingly polycentric nature of the modern city; however, it also shows considerable income segregation and variance in…
GIS and Machine Learning for Analysing Influencing Factors of Bushfires Using 40-Year Spatio-Temporal Bushfire Data
The causes of bushfires are extremely complex, and their scale of burning and probability of occurrence are influenced by the interaction of a variety of factors such as meteorological factors, topography, human activity and vegetation type. An in-depth understanding of the combined mechanisms of factors affecting the occurrence and spread of bushfires is needed to support the development of effective fire prevention plans and fire suppression me…
Developing Participatory Analytics Techniques to Inform the Prioritisation of Cycling Infrastructure
The planning of bicycle infrastructure across our cities remains a complex task involving many key stakeholders, including the community, who traditionally have had limited involvement in the planning process. This research develops an interactive bicycle prioritisation index tool which includes participatory spatial and textual citizen feedback. The research involves three components. Firstly, results of a survey of current cyclists in Sydney (n…
Spatial Variability of the ‘Airbnb Effect’
Over the last decade, the emergence and significant growth of home-sharing platforms, such as Airbnb, has coincided with rising housing unaffordability in many global cities. It is in this context that we look to empirically assess the impact of Airbnb on housing prices in Sydney—one of the least affordable cities in the world. Employing a hedonic property valuation model, our results indicate that Airbnb’s overall effect is positive. A 1% increa…
Charting the past and possible futures of planning support systems
Recent years have seen a renewed interest in the possibilities of digital technology to assist with urban planning, spurred by increased digitisation of planning work, and ever improving data availability and processing capabilities. Hidden behind recent developments is over 30 years of research and development by scholars in the field of Planning Support Systems (PSS), although to date there have been few attempts to systematically characterise …
Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms
A rapid analytics tool to map the effect of rezoning on property values
Examining associations between area-level spatial measures of housing with selected health and wellbeing behaviours and outcomes in an urban context
Building a predictive machine learning model of gentrification in Sydney
Housing price prediction incorporating spatio-temporal dependency into machine learning algorithms
Housing price variations using spatio-temporal data mining techniques
A novel hedonic price modelling approach for estimating the impact of transportation infrastructure on property prices
Hedonic estimations of the effect of transport infrastructure on property prices vary widely. This high variability demonstrates a deficit in our understanding of these relationships, limits the utility of econometrics for the valuation of urban property markets, and limits the development and implementation of effective and fair market-based policy tools. Several avenues may lead to improved consistency: re-consideration of accessibility, inclus…
Effective Community Engagement for Sustainability
The first significant government sponsored community‐based forest management project in Australia was initiated in Central Victoria in 2002. This paper analyses the initial stage of the Wombat Community Forest Management Pilot Project. The paper develops a functional concept of ‘effective community’ for structuring community engagement in these kinds of natural resource management projects. The effective community has characteristics in common wi…
Improving planning analysis and decision making
Sieve
Over the recent years, spatial data have become more accessible to members of the public, and there is an increased awareness that spatial data are an essential ingredient in the development of governance policies. In parallel, computing devices that can render real-time 3D environments in nearly photo-realistic quality have become a common household item. Integrating spatial data and virtual environments opens the possibility of presenting spati…
Blockchain
The use of urban analytics in strategic planning – A case study of the greater Sydney region plan
Bondi to Byron
In this paper, we look to compare the differential responses of metropolitan and regional rental markets in the first 12 months post-pandemic in New South Wales, Australia's most populous state.We employ descriptive statistics to analyse broad trends in both rental prices and transfers in and out of long-term rental supply through the short-term letting and property buyer markets.Moreover, we examine how these dynamics have played out at the loca…
Effective Community Engagement for Sustainability
The first significant government sponsored community‐based forest management project in Australia was initiated in Central Victoria in 2002. This paper analyses the initial stage of the Wombat Community Forest Management Pilot Project. The paper develops a functional concept of ‘effective community’ for structuring community engagement in these kinds of natural resource management projects. The effective community has characteristics in common wi…
Sieve
Over the recent years, spatial data have become more accessible to members of the public, and there is an increased awareness that spatial data are an essential ingredient in the development of governance policies. In parallel, computing devices that can render real-time 3D environments in nearly photo-realistic quality have become a common household item. Integrating spatial data and virtual environments opens the possibility of presenting spati…
Alternative Planning and Land Administration for Future Smart Cities [Leading Edge]
The long-term planning approach with its central aim of changing the urban form using zoning regulations and improving transportation may no longer be the only conceivable solution. Participants in planning and land development processes formulating plans today are predominantly land developers, entrepreneurs, and landlords. However, community groups are increasingly active participants, providing a counterbalance to the profit-driven agenda of c…
Examining associations between area-level spatial measures of housing with selected health and wellbeing behaviours and outcomes in an urban context
Examining associations between urban design attributes and transport mode choice for walking, cycling, public transport and private motor vehicle trips
Building a National-Longitudinal Geospatial Bicycling Data Collection from Crowdsourcing
To realize the full potential of crowdsourced data collected by smartphone applications in urban research and planning, there is a need for parsimonious, reliable, computationally and temporally efficient data processing routines. The literature indicates that the opportunities brought by crowdsourced data in generating low-cost, bottom-up, and fine spatial and temporal scale data, are also accompanied by issues related to data quality, bias, pri…
Planning support systems for smart cities
Improving planning analysis and decision making
Breaking down the silos through geodesign – Envisioning Sydney’s urban future
One of the challenges in creating plans for sustainable urban futures is the ability to work across government agencies and to break down traditional barriers to truly collaborative planning. Typically, metropolitan planning has been carried out by different agencies that are separate in their mandate and planning strategies. This siloed approach to city planning means there are problems in the coordination and sequencing of critical projects. To…
Evaluating a Workflow Tool for Simplifying Scenario Planning with the Online WhatIf? Planning Support System
In an era of smart cities and digitalisation, there has been a noticeable increase in the development and application of planning support systems (PSS). However, a significant challenge in the broader adoption of these PSS can be attributed to the user experience, which includes the efforts required in pre-processing data. It has been observed that typically 80% of the PSS usage time goes into pre-processing, cleaning, and loading data—a signific…
A framework to bridge digital planning tools' utilization gap in peri-urban spatial planning; lessons from Pakistan
Life is a scene and we are the actors
There are numerous studies on the identification and explanation of the implementation gap of planning support systems (PSS), that support the smart planning process by analyzing and visualizing data, but which are currently not systematically used in urban planning practice. There is insufficient knowledge about how the PSS implementation gap can be bridged and how PSS can be embedded into the planning process. This study provides insight into h…
Land use change simulation and analysis using a vector cellular automata (CA) model
The loss of accuracy in vector-raster conversion has always been an issue for land use change models, particularly for raster based Cellular Automata models. Here we describe a vector-based cellular automata (CA) model that uses land parcels as the basic unit of analysis, and compare its results with a raster CA model. Transition rules are calibrated using an artificial neural network (ANN) and historical land use data. Using Ipswich City in Quee…
A new toolkit for land value analysis and scenario planning
In the digital era of big data, data analytics and smart cities, a new generation of planning support systems is emerging. The Rapid Analytics Interactive Scenario Explorer is a novel planning support system developed to help planners and policy-makers determine the likely land value uplift associated with the provision of new city infrastructure. The Rapid Analytics Interactive Scenario Explorer toolkit was developed following a user-centred res…
A Data-Driven Approach to Exploring Future Land Use and Transport Scenarios
In an era of rapid urbanization, there is a need for data-driven tools to guide long-term strategic planning. Online What If? (OWI) is a planning support system (PSS) that helps inform strategic planners about the impact of population growth and other socioeconomic factors will have on the future growth of cities. This research presents its application in metropolitan Perth with a two-part case study, demonstrating a first comprehensive applicati…
A rapid analytics tool to map the effect of rezoning on property values
Towards the collaborative development of machine learning techniques in planning support systems – a Sydney example
The rise of the term ‘big data’ has contributed to recent advances in computational analysis techniques, such as machine learning and more broadly, artificial intelligence, which can extract patterns from large, multi-dimensional datasets. In the field of urban planning, it is pertinent to understand both how such techniques can advance our understanding of cities, and how they can be embedded within transparent and effective digital planning too…
Assessing geographical representativeness of crowdsourced urban mobility data
In an era of data-driven smart cities, the possibility of using crowdsourced big data to support evidence-based planning and decision-making remains a challenge. Along with the increased availability and potential utility of crowdsourced data, there is a clear need to assess the validity of these data in order to determine their appropriate use for planning and management. Moreover, with growth and rapid urbanization in many cities, there are inc…
Co-Designing Planning Support Systems in Urban Science
Big data analytics in smart cities has given rise to the new interdisciplinary field of urban science, which uses data mining, visual analytics, modeling, and simulation to create novel planning support systems. One such system is RAISE (the Rapid Analytics Interactive Scenario Explorer) which assists urban planners and local government authorities with rapid analysis and visualization of land value uplift from proposed transport infrastructure. …
Housing price variations using spatio-temporal data mining techniques
Blockchain
A novel hedonic price modelling approach for estimating the impact of transportation infrastructure on property prices
Hedonic estimations of the effect of transport infrastructure on property prices vary widely. This high variability demonstrates a deficit in our understanding of these relationships, limits the utility of econometrics for the valuation of urban property markets, and limits the development and implementation of effective and fair market-based policy tools. Several avenues may lead to improved consistency: re-consideration of accessibility, inclus…
The Reflection of Income Segregation and Accessibility Cleavages in Sydney’s House Prices
Cities often show residential income segregation, and the price of housing is generally related to employment accessibility, but how do these factors intersect? We analyse Greater Sydney, Australia, a metropolitan area of 5 million people. Sydney is found to have reasonably even employment accessibility by car, reflecting the increasingly polycentric nature of the modern city; however, it also shows considerable income segregation and variance in…
GIS and Machine Learning for Analysing Influencing Factors of Bushfires Using 40-Year Spatio-Temporal Bushfire Data
The causes of bushfires are extremely complex, and their scale of burning and probability of occurrence are influenced by the interaction of a variety of factors such as meteorological factors, topography, human activity and vegetation type. An in-depth understanding of the combined mechanisms of factors affecting the occurrence and spread of bushfires is needed to support the development of effective fire prevention plans and fire suppression me…
Developing Participatory Analytics Techniques to Inform the Prioritisation of Cycling Infrastructure
The planning of bicycle infrastructure across our cities remains a complex task involving many key stakeholders, including the community, who traditionally have had limited involvement in the planning process. This research develops an interactive bicycle prioritisation index tool which includes participatory spatial and textual citizen feedback. The research involves three components. Firstly, results of a survey of current cyclists in Sydney (n…
Geography (31 works) · Computer Science (29 works) · Engineering (23 works) · Business (21 works) · Land Use and Ecosystem Services (17 works) · Civil engineering (14 works) · Human Mobility and Location-Based Analysis (14 works) · Economics (12 works) · Housing Market and Economics (12 works) · Political science (12 works)