Behavioural Analysis & Modelling
People make the decisions about how they will travel, based on the choices available to them and on their very personal perception of the “costs” of travelling by different modes. Effective planning and design of both transportation and land use requires a deep understanding of person travel behaviour, the economic drivers of goods movements and the location choice processes of households and firms. How can we combine insights into travel behaviour from economics, psychology and engineering, modern “big data” and advanced data science methods (machine learning, etc.) enable the development of advanced “next generation” simulation models of urban spatial-temporal, socio-economic processes?