Publications

A list of relevant publications by MASS members (ordered by year). For a full list, see members’ individual pages.

Journal Papers

2013

Malleson, N., Evans, A., A. Heppenstall and See, L.M., (2013) The Leeds Burglary Simulator. pp 211 – 223. Informatica e diritto: Special Issue on Law and Computational Social Science.

A. Heppenstall, Harland, K., Ross, A.N., Olner, D. (2013)
Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent-Based Modeling ApproachTransactions in GIS. Early View.

2012

Malleson, N. and M. Birkin (2012).  Analysis of crime patterns through the integration of an agent-based model and a population microsimulation. Computers, Environment and Urban Systems 36(6) 551–561. [URL] [download]

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.[URL]

Malleson, N., L. See, A. Evans, and A. Heppenstall (2012). Implementing comprehensive offender behaviour in a realistic agent-based model of burglary. SIMULATION 88(1) 50-71 . [URL] [download]

2011

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. and Birkin, M. (2011). Towards victim-oriented crime modelling in a social science e-infrastructure. Philosophical Transactions of the Royal Society A 369(1949) 3353-3371. [URL] [download]

2010

Malleson, N., A. Heppenstall and L. See (2010). Crime reduction through simulation: An agent-based model of burglary. Computers, Environment and Urban Systems 31(3) 236-250. [URL] [download]

Napolitano,G., See,L., Calvo, B., Savi, F. and A. Heppenstall (2010) A Conceptual and Neural Network Model for Real-time Flood Forecasting of the Tiber River in Rome. Physics and Chemistry of the Earth.

2009

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.

Malleson, N., A. Evans and T. Jenkins (2009). An agent-based model of Burglary. Environment and Planning B: Planning and Design 36 1103-1123. [URL].

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

Books

Heppenstall, A.J., Crooks, A.T., See, L.M. and Batty, M. (eds).  Agent-based Models of Geographical Systems. Springer: Dordrecht. Publication 2012. [URL]

Book chapters

N. Malleson (2012) Using Agent-Based Models to Simulate Crime. In Heppenstall, A.J.; Crooks, A.T.; See, L.M.; Batty, M. (Eds.) Agent-Based Models of Geographical Systems. Springer. [URL] [download]