Malleson, N., Heppenstall, A.J., See, L.M. and Evans, A.J. (2013) Using an Agent-Based Crime Simulation to Predict the Effects of Urban Regeneration on Individual Household Burglary Risk Environment and Planning B. 40(3) 405 – 426

Harland, K., Heppenstall, A.J., Smith, D. And Birkin, M. (2012) Creating realistic synthetic populations at varying spatial scales: A comparative critique of population synthesis techniques. JASSS. 15(1) 1.

Malleson, N., See, L. M., Evans, A. J. and Heppenstall, A. J. (2012). . Implementing comprehensive offender behaviour in a realistic agent-based model of burglary Simulation: Transactions of the Society for modelling and Simulation International. 88(1) 50 – 71. DOI: 10.1177/003754971038124

Birkin, M., and Heppenstall, A. (2011) Extending Spatial Interaction Models with Agents for Understanding Relationships in a Dynamic Retail Market. Urban Studies Research, v.1, p1 – 12

Malleson, N., Heppenstall, A. J., and See, L. M. (2010). Crime reduction through simulation: An agent-based model of burglary. Computers, Environment and Urban Systems 34, pp. 236–250.

Al-Ahmadi, K., Heppenstall, A.J., Hogg, J., See, L. 2009. A Fuzzy Cellular Automata Urban Growth Model (FCAUGM) for the City of Riyadh, Saudi Arabia. Part 1: Model Structure and Validation. Applied Spatial Analysis and Policy. v2(1): 65 – 83. doi: 10.1007/s12061-0080- 9020-6.

Al-Ahmadi, K., Heppenstall, A.J., Hogg, J., See, L. 2009. A Fuzzy Cellular Automata Urban Growth Model (FCAUGM) for the City of Riyadh, Saudi Arabia. Part 2: Scenario Analysis. Applied Spatial Analysis and Policy. v2(2): 85 – 105. doi:10.1007/s12061-008-9019-z.

Heppenstall A.J., Birkin M. H., Evans A. J.(2009) ‘Extending spatial interaction models with agents for understanding relationships in a dynamic retail market’ In Artificial Life XI: Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems

Al-Ahmadi, K., See, L., Heppenstall, A.J., Hogg, J. (2008). Calibration of a Fuzzy Cellular Automata Model of Urban Dynamics in Saudi Arabia. Ecological Complexity. doi:10.1016/j.ecocom.2008.09.004.

Heppenstall, A.J., Evans, A.J. and Birkin, M.H. (2007), Genetic Algorithm Optimisation of a Multi-Agent System for Simulating a Retail Market. Environment and Planning B, 34 (4)

Heppenstall, A.J., Evans, A.J. and Birkin, M.H. (2006) ‘Using Hybrid Agent-Based Systems to Model Spatially-Influenced Retail Markets’ Journal of Artificial Societies and Social Simulation, 9, 3.

Heppenstall, A.J., Evans, A.J. and Birkin, M.H. (2005) ‘A Hybrid Multi-Agent/Spatial Interaction Model System for Petrol Price Setting’ Transactions in GIS, 9 (1), 35-51

Book Chapters

Evans, A.J., Heppenstall, A.J., Birkin, M.H. (201X) Understanding Simulation Results.  In Edmonds, B.  Handbook of Regional Science.  In press

Heppenstall, A.J. and Smith, D.M. Spatial Microsimulation, In Handbook of Regional Science, Fischer,M. And Nijkamp, P. (eds). In press.  Invited contribution.

Batty, M., Crooks, A.T., See, L.M. and Heppenstall, A.J. (2012) Perspectives on Agent-based Models and Geographical Systems, In Heppenstall, A.J., Crooks, A.T., See, L.M. and Batty, M. (eds) Agent-based models of Geographical Systems, Springer.

Crooks, A.T. and Heppenstall, A.J. (2012), Introduction to Agent-Based Modelling, In Heppenstall, A.J., Crooks, A.T., See, L.M. and Batty, M. (eds)  Agent-based models of Geographical Systems, Springer.

Harland, K. and Heppenstall, A.J. (2012), Using Agent-Based Models for Education Planning: Is the UK Education System Agent-Based, In Heppenstall, A.J., Crooks, A.T., See, L.M. and Batty, M. (eds) Agent-based models of Geographical Systems, Springer.

Heppenstall, A.J., Crooks, A.T., Batty, M. And See, L.M. (2012) Reflection and Conclusions: Geographical Models to Address Grand Challenges, In Heppenstall, A.J., Crooks, A.T., See, L.M. and Batty, M. (eds) Agent-based models of Geographical Systems, Springer,

Heppenstall, A., See, L., Al-Ahmadi. K. and Kim, B., (2011). CA City: Simulating Urban Growth through the Application of Cellular Automata, Cellular Automata – Simplicity Behind Complexity, Alejandro Salcido (Ed.), ISBN: 978-953-307-230-2, InTech,  Available from: http://www.intechopen.com/articles/show/title/ca-city-simulating-urban-growth-through-the-application-of-cellular-automata Invited contribution