Room Manton 10.115
School of Geography
University of Leeds
Leeds LS2 9JT UK
Please note that I do not work on Wednesday's.
My research interests are focused on the development of AI methods, particularly agent-based modelling, for understanding processes and evolution of geographical systems. In particular I am interested in methods for incorporating human behaviour in individual-level models and big data analytics.
My personal webpage can be found at: https://alisonheppenstall.co.uk
- Whittle, M, Lomax, N., Heppenstall, A. and Brerton, S. (2016) Equitable or Elitist? The Social Impact of the 2014 Tour de France Grand Depart. Area. In press.
- Whittle, M, Heppenstall, A, Lomax N. (2016) Charge of the Lycra Brigade: will the Tour de Yorkshire attract more people to cycling? The Conversation (April, 2016)
- Heppenstall A, Malleson, N. and Crooks, A. (2016) “Space, the Final Frontier”: How Good are Agent-Based Models at Simulating Individuals and Space in Cities? Systems 2016, 4(1), 9; doi: 10.3390/systems4010009
- Heppenstall A, Malleson, N. How Big Data and the Sims are helping us to build the cities of the future, The Conversation (Oct, 2015)
- Olner D; Evans A; Heppenstall A (2015) An agent model of urban economics: Digging into emergence, Computers, Environment and Urban Systems, . doi: 10.1016/j.compenvurbsys.2014.12.003
- Ma J; Mitchell...
- Geo-spatial restructuring of industrial trade: ESRC Funded.
- Modelling Individual Consumer Behaviour: ESRC Funded.
- TALISMAN: ESRC Funded
- Centre for Spatial Analysis and Policy
- Centre for Computational Geography
- Multi-agent Systems & Simulation Research Group