This interdisciplinary PhD studentship is funded by the European Union GLASST project and will be supervised by Dr James Woodcock at the MRC Epidemiology Unit and Dr Rolf Moeckel at the Technical University of Munich. Please make it clear in your application if you are applying specifically for this PhD Studentship.
Potential applicants are strongly encouraged to contact Dr James Woodcock to discuss the project before applying.
Travel demand models are widely used in transport research and practice. Activity based models simulate a high level of detail what people are doing and where they are doing it . Increasingly these models attempt to more accurately represent active travel (walking and cycling) . However, most health impact modelling of transport has been based on city wide estimates and not represented spatial variation in where people are exposed (e.g. air pollution or injury risk), or the exposures they generate (e.g. emissions or road traffic danger) . This PhD will work with the open source SILO, MITO, and MATSim models  to develop methods that fully utilise the spatial and temporal detail of these models to estimate health impacts, and to compare this against simpler, aggregate approaches.
- Rasouli S, Timmermans H. Activity-based models of travel demand: promises, progress and prospects. Int J Urban Sci. 2014
- Clifton et al. Representing pedestrian activity in travel demand models: Framework and application. Journal of Transport Geog 2016
- Mueller N, et al. Health impact assessment of active transportation: A systematic review. Prev Med 2015
- Ziemke D, Nagel K, Moeckel R. Towards an Agent-based, Integrated Land-use Transport Modeling System. Procedia Comput Sci. 2016