Centre for Future Mobility

  • Centre for Future Mobility

QUT’s Centre for Future Mobility is a collaboration of experts:

  • Faculty of Health: CARRS-Q, School of Psychology and Counselling, School of Optometry and Vision Science, School of Public Health and Social Work
  • Faculty of Creative Industries, Education and Social Justice: School of Design
  • Faculty of Engineering: School of Civil and Environmental Engineering, School of Electrical Engineering and Robotics, School of Architecture and Built Environment
  • Faculty of Science: School of Mathematical Sciences
  • Faculty of Business and Law: School of Management, School of Law

How will our society move from A to B in the future? How can we have a world without crashes, injuries, fatalities and congestion? How can we provide fair, accessible and environmentally friendly mobility services for all?

Mission

  1. Understand the current patterns and future trajectories of community mobility needs
  2. Improve systems by providing a range of innovative “real world” solutions

Research Objectives

C4FM’s research environment is unique in that it uses the extensive expertise in holistic and interdisciplinary methodology to address complex transport challenges and define the future of land transport mobility. C4FM will bring real technical, legal and social solutions for the constantly evolving mobility demand in our globalised and digitised society.

Safe, sustainable and inclusive future mobility for all is the central tenet of C4FM, with a strong focus on innovation and prediction. C4FM will conduct high impact research on cities and regions covering topics ranging from active transport to e-scooters. C4FM articulates its use-inspired research along two themes:

  • Towards Vision Zero focusing on disadvantages experienced by families with young children, people with a disability, elderly, rural and remote populations, vulnerable road users, those without access to digital technology, Indigenous Australians and new immigrants.
  • Embracing new technologies such as Cooperative Automated Vehicles (CAVs), which are predicted to reduce injuries and improve accessibility and mobility. Extensive research trials and simulations are required to address the current knowledge gaps to ensure their safe deployment on our roads.

Research staff