Public Health Modelling Group
Current work and interests
Qin Zhang is working as a Research Associate at the Public Health Modelling group. 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.
Current projects contribution
Background and experience
Qin Zhang 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.
She completed her bachelor’s degree in Logistic Engineering at the Tongji University in China, before earning her master’s degree in Transportation Systems from the Technical University of Munich in 2017. Subsequently, Qin Zhang worked as a Research Associate in Travel Behaviour at the Technical University of Munich, where she completed her doctorate in 2023. Her dissertation is titled “Advances in Pedestrian Travel Demand Modelling – Innovation of Data, Modelling Approaches and Outcomes”. She was the research group leader on Transport Modelling and worked on a couple of core research projects, e.g. examining the potential of on-demand ride-pooling services for the city of Munich, Transport and Epidemic Networks: Graphs, Optimization and Simulation (TENGOS), Global and Local health Assessment of Transport (GLASST).
- Zhang, Q., Clifton, K., & Moeckel, R. (2019). Investigate an Appropriate Spatial Resolution for Large-scale Pedestrian Travel Demand Model. Transportation Research Procedia, 41, 324–327.
- Zhang, Q., Clifton, K., Moeckel, R., & Orrego-Oñate, J. (2019). Household Trip Generation and the Built Environment: Does More Density Mean More Trips? Transportation Research Record: Journal of the Transportation Research Board, 2673(5), 596–606.
- Zhang, Q., Moeckel, R., & Clifton, K. (2022). Assessing pedestrian impacts of future land use and transportation scenarios. Journal of Transport and Land Use, 15(1), 547–566.
- Zhang, Q., Llorca, C., Ulak, M. B., Moeckel, R., & Woodcock, J. (2022). Simulation of individual injury risks with an agentbased transport model. 8th Road Safety & Simulation International Conference.
- Zhang, Q., Moeckel, R., & Clifton, K. J. (2023). MoPeD meets MITO: a hybrid modeling framework for pedestrian travel demand. Transportation, 2023-02.
- 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.
Please see the complete list on Google Scholar.
- Dr.-Ing in Travel Behavior (School of Engineering and Design, Technical University of Munich, Germany)
- M.Sc. in Transportation System (School of Engineering and Design, Technical University of Munich, Germany)
- B.Sc in Logistic Engineering (School of Transportation Engineering, Tongji University, China)