Our Team

Qin Zhang

Research Associate

Qin Zhang


Research Associate, Public Health Modelling Group. Qin will contribute to the development of an open-source modelling framework aimed at exploring net-zero and resilient transport scenarios for the future.

Within WP2, her focus is

  1. understand travel behaviour changes under climate change and extreme weather
  2. develop advanced transport and health models to better align with the objective of developing pathways that are resilient to climate change
  3. understand existing models and work on integration.

Dr. Qin Zhang is working as a Research Associate at the Public Health Modelling group. She has over six years of experience in travel behaviour analytics and transport modelling and simulation, including activity-based model, health, and integrated land use/transport models. She is proficient in Java programming and have implemented it for transport models such as SILO, MITO, and MATSim. Her recent work focused on developing transport and health interaction models and tools to predict how changes in travel patterns and related exposures might influence health outcomes.

Staves, C., Zhang, Q., Moeckel, R., & Woodcock, J. (2023). Integrating health effects within an agent-based land use and transport model. Journal of Transport & Health, 33, 101707.

Kuehnel, N., Zhang, Q., Staves, C., & Moeckel, R. (2023). The perfect match? Assessment of excess commute and transport externalities using an agent-based transport model. International Journal of Sustainable Transportation, 1-13.

Zhang, Q., Moeckel, R., & Clifton, K. J. (2023). MoPeD meets MITO: a hybrid modeling framework for pedestrian travel demand. Transportation, 1-21.

Zhang, Q., Clifton, K. J., & Moeckel, R. (2022). Assessing pedestrian impacts of future land use and transportation scenarios. Journal of Transport and Land Use, 15(1), 547-566.

Useful links


Research Associate, Public Health Modelling Group


MRC Epidemiology Unit
University of Cambridge School of Clinical Medicine
Clifford Allbutt Building
Cambridge Biomedical Campus