Research to identify and and allow for appraisal of a targeted suite of TDM instruments that will be necessary in managing congestion. In particular, travel plans and DOT’s flagship voluntary travel behaviour change (VTBC) program, Your Move.
Research to identify and and allow for appraisal of a targeted suite of TDM instruments that will be necessary in managing congestion. In particular, travel plans and DOT’s flagship voluntary travel behaviour change (VTBC) program, Your Move.
Developed a working definition of travel demand management (TDM), capturing various perceptions on what travel demand management is thought to be and compile a matrix of measures being implemented. Focus was placed on approaches to assess TDM policies targeted at congestion mitigation including measures of congestion.
This project aims to enhance the safety of shared paths for active transport modes like cycling, eRideables and pedestrians, through a combination of video analytics and community-sourced incident data.
By leveraging UWA’s cutting-edge RoadSense Video Analytics software, the project will systematically collect videos and analyse observational data of user behaviours, movement patterns, and potential conflict hotspots. This objective video data will be complemented by a crowdsourced incident reporting web portal that is mobile phone friendly, to increase the ease of reporting for users. The portal will also incorporate a searchable database to systematically curate both video-derived and community-reported incident and near-miss data, addressing the underreporting challenge and facilitating further research.
Key outcomes of this project include a framework for ongoing systematic safety data collection, reports on identified issues and baseline “before” conditions, and improved design guidelines for safer and more inclusive shared paths. Find more information on the National Road Safety Action Grants Program which is funding this project from this link.
Research to target the most appropriate travel demand management interventions for different demographic groups to reach 11% aspirational mode share targets in the transport plan for P&[email protected].
This overall purpose of this project is to provide unique experimental data on the effects of exposure to and trial of a SAEV on older people’s attitudes, intentions, and behaviours relating to SAEV use.
A National Cycling Data and Analytics Platform to collect, integrate and communicate new and historic data on cycling infrastructure, attitudes, and behaviours. This project will address the significant issue of data fragmentation, pilot a national cycling survey, and develop a cycling toolkit to allow exploring and testing various cycling infrastructure scenarios. The platform will provide an open access e-Infrastructure to enable tracking social and cultural changes that influence transport choices, create effective behaviour change programs and prioritise cycling infrastructure investment. This project will contribute to healthier lifestyles, reduced traffic congestion and emissions and energy efficiency of Australia’s transport sector.