City Futures Research Centre Arts, Design and Architecture


Sustainable Mobility

The CFRC Sustainable Mobility Program examines how we move around our cities and the impact this has on environment, economics, health, and wellbeing. To achieve strategic goals in these areas our vision is for sustainable mobility, such as walking, riding a bike, and taking public transport, to be the easiest and most obvious choice. We aim to guide policy, governance, and delivery models towards this outcome with robust research and practical applications. Our interdisciplinary team works closely with local and state governments, communities, practitioners, and peak bodies to find ways to turn this vision into reality.


Current Projects

Completed Projects

Professional Development


  • Chia J; Lee J; Han H, 2020, 'How does the location of transfer affect travellers and their choice of travel mode?—A smart spatial analysis approach', Sensors (Switzerland), 20, pp. 1 - 17,

  • Chia J; Lee B, 2019, 'Extending Public Transit Accessibility Models to Recognise Transfer Location', Journal of Transport Geography
  • Farmer D; Kim H; Lee B, 2023, 'The Relationship Between Exposure to and Trust in Automated Transport Technologies and Intention to Use a Shared Autonomous Vehicle', International Journal of Human-Computer Interaction
  • Han H; Chen H; Lee J, 2021, 'Spatiotemporal changes in vertical heterogeneity: High-rise office building floor space in Sydney, Australia', Buildings, 11, pp. 374 - 374,
  • Harris, M. S. (2023). Bicycle Infrastructure and Street Politics: Sydney’s Flagship Cycleway to COVID-19 Pop-Ups. In K. Bishop & L. Corkery (Eds.), Routledge Handbook of Urban Landscape Research
  • Harris, M. S., & McCue, P. (2022). Pop-up cycleways: How a COVID-19 ‘policy window’ changed the relationship between urban planning, transport and health in Sydney, Australia. Journal of the American Planning Association
  • Mazumdar S; Jaques K; Conaty S; De Leeuw E; Gudes O; Lee J; Prior J; Jalaludin B; Harris P, 2023, 'Hotspots of change in use of public transport to work: A geospatial mixed method study', Journal of Transport and Health, 31, pp. 101650 - 101650,
  • Mousavi A; Bunker J; Lee J, 2021, 'Exploring socio-demographic and urban form indices in demand forecasting models to reflect spatial variations: Case study of childcare centres in hobart, Australia', Buildings, 11, pp. 493 - 493,
  • Nepal MP; Hon C; Lee J; Xiang Z, 2021, 'Towards an integrated approach to infrastructure damage assessment in the aftermath of natural hazards', Buildings, 11, pp. 450 - 450,
  • Salih SH; Lee J, 2022, 'Measuring transit accessibility: A dispersion factor to recognise the spatial distribution of accessible opportunities', Journal of Transport Geography, 98,
  • Xie R; Zlatanova S; Lee J, 2022, '3D indoor environments in pedestrian evacuation simulations', Automation in Construction, 144,
  • Xie R; Zlatanova S; Lee J, 2022, '3D indoor environments in pedestrian evacuation simulations', Automation in Construction, 144,
  • Yan J; Zlatanova S; Lee JB; Liu Q, 2021, 'Indoor Traveling Salesman Problem (ITSP) Path Planning', ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 10,
  • Yan J; Lee J; Zlatanova S; Diakité AA; Kim H, 2022, 'Navigation network derivation for QR code-based indoor pedestrian path planning', Transactions in GIS, 26, pp. 1240 - 1255,
  • Yan J; Zlatanova S; Lee J, 2023, 'An indoor service area determination approach for pedestrian navigation path planning', Cartography and Geographic Information Science, 50, pp. 321 - 332,
  • Yoo S; Kim H; Kim W; Kim N; Lee J, 2022, 'Controlling passenger flow to mitigate the effects of platform overcrowding on train dwell time', Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, 26, pp. 366 - 381,
  • Yoo S; (Brian) Lee J, 2023, 'Revising bus routes to improve access for the transport disadvantaged: A reinforcement learning approach', Journal of Public Transportation, 25,
  • Yoo S; Lee JB; Han H, 2023, 'A Reinforcement Learning approach for bus network design and frequency setting optimisation', Public Transport, 15, pp. 503 - 534,
  • Wu H; Lee J; Levinson D, 2023, 'The node-place model, accessibility, and station level transit ridership', Journal of Transport Geography, 113,
  • Zhang M; Lee B, 2023, 'Make TOD More Bicycling-Friendly: An Extended Node-Place Model Incorporating a Cycling Accessibility Index', Buildings