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
Discovery Early Career Researcher Award - Grant ID: DE200101793
Funder
Australian Research Council
Funding Amount
$423,038.00
Summary
Quantifying and managing the network impacts of transport sharing services. This project aims to address the challenge of effectively modelling multiple transport sharing services (e.g., ridesharing and parking sharing) in a multimodal network, and efficiently operating these services, and incentivising people to use them. The project expects to generate new knowledge in shared transport by developing an innovative approach to systematically reproducing and optimising network impacts of sharing ....Quantifying and managing the network impacts of transport sharing services. This project aims to address the challenge of effectively modelling multiple transport sharing services (e.g., ridesharing and parking sharing) in a multimodal network, and efficiently operating these services, and incentivising people to use them. The project expects to generate new knowledge in shared transport by developing an innovative approach to systematically reproducing and optimising network impacts of sharing services on travel choices, sharing demand-supply matching patterns, movement trajectory features and traffic dynamics. Expected outcomes include new models and strategies to improve decision support for transport planners and operators. This should provide significant benefits for human mobility and city sustainability.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
IMPACTS OF TRANSIT LED DEVELOPMENT IN A NEW RAIL CORRIDOR. Impacts of transit-oriented development (TOD) in precincts adjoining the new Perth-Mandurah railway will be addressed by longitudinal survey. Results of a revealed preference questionnaire about actual trips will be combined with a stated choice questionnaire. Aims are to quantify the effects of TOD on rail and car use and on daily activities, new railway services on the travel behaviour of households near new station precincts, differin ....IMPACTS OF TRANSIT LED DEVELOPMENT IN A NEW RAIL CORRIDOR. Impacts of transit-oriented development (TOD) in precincts adjoining the new Perth-Mandurah railway will be addressed by longitudinal survey. Results of a revealed preference questionnaire about actual trips will be combined with a stated choice questionnaire. Aims are to quantify the effects of TOD on rail and car use and on daily activities, new railway services on the travel behaviour of households near new station precincts, differing accessibility of station precincts on household travel patterns, improved accessibility on economic activity and employment. Replacement of car-trips by walking and cycling, changes in shopping & leisure activities & the effect of trip-chaining on number of trips are of particular interest.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100113
Funder
Australian Research Council
Funding Amount
$390,000.00
Summary
Travel Choice Simulation Laboratory (TRACSLab): a visualisation laboratory to study travel behaviour and drivers’ interactions. Travel Choice Simulation Laboratory (TRACSLab) is a world-first facility to observe collective travel choice in a realistic lab environment. It is unique due to the focus on travel choice, networked interaction and strong teaming. The findings of the lab will support a new generation of transport analysis techniques for emerging issues such as sustainability, reliabili ....Travel Choice Simulation Laboratory (TRACSLab): a visualisation laboratory to study travel behaviour and drivers’ interactions. Travel Choice Simulation Laboratory (TRACSLab) is a world-first facility to observe collective travel choice in a realistic lab environment. It is unique due to the focus on travel choice, networked interaction and strong teaming. The findings of the lab will support a new generation of transport analysis techniques for emerging issues such as sustainability, reliability, and intelligent transport systems (ITS).Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100449
Funder
Australian Research Council
Funding Amount
$336,000.00
Summary
Modelling mixed traffic of traditional, connected, and automated vehicles. This project plans to address the challenge of efficiently operating mixed traffic flow of traditional, connected and automated vehicles. The rapid advancement of technologies is currently turning connected and automated vehicles from science fiction into science fact. However, there are no existing traffic flow models capable of reproducing features of mixed traffic flow consisting of traditional, connected and automated ....Modelling mixed traffic of traditional, connected, and automated vehicles. This project plans to address the challenge of efficiently operating mixed traffic flow of traditional, connected and automated vehicles. The rapid advancement of technologies is currently turning connected and automated vehicles from science fiction into science fact. However, there are no existing traffic flow models capable of reproducing features of mixed traffic flow consisting of traditional, connected and automated vehicles. This project aims to address this knowledge deficit and develop an analytical tool able to accurately model mixed traffic flow. This new knowledge and model are prerequisites to effective operation and control of traffic flow of traditional, connected and automated vehicles.Read moreRead less
Heavy vehicle peaks in the pattern of night-time road traffic noise: Human health and management of urban freight movement. The Australian road freight industry is a significant economic activity and is growing at an unprecedented rate. Also growing is community reaction to the health effects of truck noise, to the extent that it is recognised as a major constraint to future transport operations, particularly night-time movements in metropolitan areas and in rural towns. This research will benef ....Heavy vehicle peaks in the pattern of night-time road traffic noise: Human health and management of urban freight movement. The Australian road freight industry is a significant economic activity and is growing at an unprecedented rate. Also growing is community reaction to the health effects of truck noise, to the extent that it is recognised as a major constraint to future transport operations, particularly night-time movements in metropolitan areas and in rural towns. This research will benefit the community as well as transportation and environmental authorities at all levels of government that are grappling with the challenge of managing constraints to the growth of this important industry but at the same time protecting human health and well-being.Read moreRead less
Adaptive Stochastic Dynamic Traffic Assignment. This project aims to address some of the limitations of dynamic transport network modelling in the planning process particularly related to traffic uncertainty, driver adaptivity and information-provision. Previous advances facilitate the proposed methods to introduce; new network routing algorithms that account for numerous increasingly important problem characteristics such as driver route-choice response to real-time information and uncertainty; ....Adaptive Stochastic Dynamic Traffic Assignment. This project aims to address some of the limitations of dynamic transport network modelling in the planning process particularly related to traffic uncertainty, driver adaptivity and information-provision. Previous advances facilitate the proposed methods to introduce; new network routing algorithms that account for numerous increasingly important problem characteristics such as driver route-choice response to real-time information and uncertainty; new formulations for the stochastic dynamic traffic assignment problem which employ the novel routing algorithms as sub-problems; and new methods for relevant bi-level optimisation transport applications such as network design and incident management.Read moreRead less
Integrating Accident and Travel Delay Externalities in an Urban Speed Reduction Context. The recognition that accident externalities are not independent of travel delays, and hence travel time savings and losses will promote a serious policy rethink about strategies designed to reduce the risk of exposure to accidents. The evidence is designed to identify that additional externality that has to be factored into the accident costs to recognise the other sources of externality typically ignored in ....Integrating Accident and Travel Delay Externalities in an Urban Speed Reduction Context. The recognition that accident externalities are not independent of travel delays, and hence travel time savings and losses will promote a serious policy rethink about strategies designed to reduce the risk of exposure to accidents. The evidence is designed to identify that additional externality that has to be factored into the accident costs to recognise the other sources of externality typically ignored in accident costing and speed restriction studies. The implication on the development of a national program of road safety is likely to be profound. Read moreRead less