Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Tra ....Promoting active travel and public transport for a post-pandemic world. In many major cities, COVID-19 stimulated the provision of open streets, pop up bike lanes and widened pedestrian access, prompting unprecedented increases cycling and walking. While this type of infrastructure has always been supported by urban planners and designers, the pandemic has served as a vital inflection point, enabling cities to pursue long-term sustainable transport initiatives, including investment in Active Travel (AT). There is an opportunity to promote AT as part of an integrated transport strategy, and to develop tools for the robust evaluation of AT impacts to inform future investment strategies. This proposal will provide our partner organisation Transport for New South Wales (with the knowledge required to achieve this.
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Integrating Attribute Decision Heuristics into Travel Choice Models that accommodate Risk Attitude and Perceptual Conditioning. This proposal has the specific objective of integrating two disconnected literatures that are having a major influence on the behavioural and statistical performance of discrete choice models in travel choice modelling. These fields are attribute processing strategies and the conditioning of the marginal utility of attributes by risk attitude and perceptual conditioning ....Integrating Attribute Decision Heuristics into Travel Choice Models that accommodate Risk Attitude and Perceptual Conditioning. This proposal has the specific objective of integrating two disconnected literatures that are having a major influence on the behavioural and statistical performance of discrete choice models in travel choice modelling. These fields are attribute processing strategies and the conditioning of the marginal utility of attributes by risk attitude and perceptual conditioning. These two major developments have not been jointly integrated into a behaviourally richer representation of choice making. Given the encouraging evidence from both literatures, the research will determine more precisely the benefits in terms of improved estimates of willingness to pay for specific attributes and also increased predictive power. Read moreRead less
Funding on the line: public transport financing and property value capture. This project aims to develop property value capture schemes that would provide alternative funding for public transport infrastructure. It plans to model the timing and spatial patterns of property value uplift from recent investments in rail, busways and ferries in Queensland and New South Wales. It then intends to conduct a survey of Australian stakeholders and discrete choice modelling to determine willingness-to-pay. ....Funding on the line: public transport financing and property value capture. This project aims to develop property value capture schemes that would provide alternative funding for public transport infrastructure. It plans to model the timing and spatial patterns of property value uplift from recent investments in rail, busways and ferries in Queensland and New South Wales. It then intends to conduct a survey of Australian stakeholders and discrete choice modelling to determine willingness-to-pay. This data is then expected to be used to develop an institutionally, legally and politically feasible scheme for implementation in Australia, focused on cases including extension to the Gold Coast light rail network.Read moreRead less
Integrating network modelling with observed choice data for multi-criteria optimisation of complex car share systems: cost, mobility and transit usage. This project will develop methods to determine an efficient car share system, which includes optimal location, one-way car sharing, and how carshare influences the broader transport system. By adopting such new comprehensive methods, the overall transport system will benefit through potential improvements in public transit usage.
Business location decisions. This project aims to develop a forecasting model system for economic planning that integrates business (re-) location and co-location choices. Improved transport infrastructure connects places and can influence the location of businesses. This project will use forecasting models to quantify the drivers of firm location decisions linked to an integrated strategic transport and land use modelling system. This project expects to provide guidance for transport investment ....Business location decisions. This project aims to develop a forecasting model system for economic planning that integrates business (re-) location and co-location choices. Improved transport infrastructure connects places and can influence the location of businesses. This project will use forecasting models to quantify the drivers of firm location decisions linked to an integrated strategic transport and land use modelling system. This project expects to provide guidance for transport investment that brings gains in productivity to industry and the economy and wellbeing to individuals and society.Read moreRead less
Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural tra ....Trustworthy positioning for intelligent transport systems. This project aims to develop a holistic approach for reliable positioning for Intelligent Transport Systems (ITS). This project will address the challenges of integrity monitoring in ITS when using satellite-based technology, its integration with other sensors, and when supported by the proposed Australia National Positioning Infrastructure. It will consider Australian geography, large area, and sparse population, and emphasise rural transport. Expected primary outputs include algorithms, a detailed analysis of required systems and recommendations that will help prepare Australia for the importation of self-driving vehicles.Read moreRead less
Valuation of service reliability and crowding under risk and uncertainty: neglected drivers of demand for public transport. The reliability of public transport services, and the amount of crowding at stations and also on trains and on buses, have come under strong criticism. This study identifies the role that improved service reliability and reduced crowding play in influencing the switch from car to public transport for the commute.
Inferring driver behaviours, intent and risk in complex traffic scenarios. This project intends to develop methods to evaluate risk during driving. The next generation of vehicles will be fitted with sophisticated perception and egocentric information. This will be combined with inter-vehicle communication enabling cooperative safety, used in conjunction with intelligent infrastructure. This technology is expected to be mandated in the United States starting from 2017. This project plans to deve ....Inferring driver behaviours, intent and risk in complex traffic scenarios. This project intends to develop methods to evaluate risk during driving. The next generation of vehicles will be fitted with sophisticated perception and egocentric information. This will be combined with inter-vehicle communication enabling cooperative safety, used in conjunction with intelligent infrastructure. This technology is expected to be mandated in the United States starting from 2017. This project plans to develop unsupervised learning algorithms to infer high-level driver behaviours, intent and contextual information to automatically evaluate levels of risk under complex driving scenarios. It plans to validate the results using naturalistic driving datasets taken in large-scale deployments around the world. This innovation may improve automotive safety and facilitate the deployment of autonomous vehicles.Read moreRead less
The role of vegetation and associated root suction and reinforcement on the stabilisation of transport corridors and sloping ground. The project will promote the concept of green corridors and green hills for stabilising unstable soils through optimum root reinforcement and suction. The improved load capacity, control of unacceptable soil movement and slope stabilisation will provide an efficient platform for sustainable development of transport and building infrastructure.
Quantitative psychological theories for a dynamic world. . The dynamic world around us means we need to constantly adjust our decisions in light of ever-changing influences, both external (weather, traffic ...) and internal (fatigue, learning ...). This project aims to understand how these changes affect performance. This will have significance for basic science, and also practical benefits for applied psychology. This project will examine the dynamic nature of psychological processes in a range ....Quantitative psychological theories for a dynamic world. . The dynamic world around us means we need to constantly adjust our decisions in light of ever-changing influences, both external (weather, traffic ...) and internal (fatigue, learning ...). This project aims to understand how these changes affect performance. This will have significance for basic science, and also practical benefits for applied psychology. This project will examine the dynamic nature of psychological processes in a range of settings: simple decisions, consumer decisions, human-machine interactions, and team performance. Theory development will lead to improved understanding of underlying cognitive processes, and transforms the measurement of decisions, which is important for applied psychological investigations. Read moreRead less