Dr Alison Heppenstall
Research overview
My research interests are focused on the development of AI methods for understanding processes and evolution of geographical systems. In particular I am interested in methods for incorporating human behaviour in individual-level models and developing approaches to improve synthetic population generation.
Contact details
Room G20, East Building
School of Geography
University of Leeds
University Road
Leeds LS2 9JT UK
Email:
a.j.heppenstall
Telephone:
+44 (0) 113 34
33392
Student hours:
Latest publications
- Heppenstall AJ; Harland K; Olner D; Ross AN (2013) Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent-Based Modeling Approach, Transactions in GIS, . doi: 10.1111/tgis.12027
- Malleson N; See L; Evans A; Heppenstall A (2012) Implementing comprehensive offender behaviour in a realistic agent-based model of burglary, Simulation, 88, pp.50-71. doi: 10.1177/0037549710384124
- Birkin MH; Heppenstall AJ (2011) Extending Spatial Interaction Models with Agents for Understanding Relationships in a Dynamic Retail Market., Urban Studies Research, vol. 2011, Article ID 403969, .
- Malleson N; Heppenstall A; See L (2010) Crime reduction through simulation: An agent-based model of burglary, Computers, Environment and Urban Systems, 34, pp.236-250. doi: 10.1016/j.compenvurbsys.2009.10.005
Current projects
- Geo-spatial restructuring of industrial trade: ESRC Funded.
- Modelling Individual Consumer Behaviour: ESRC Funded.
- TALISMAN: ESRC Funded
Research affiliations
- Centre for Spatial Analysis and Policy
- Centre for Computational Geography
- Multi-agent Systems & Simulation Research Group
