Abstract
People’s movements, interactions and behaviours have always been at the centre of the modelling of complex social systems. This chapter introduces an individual-based, dynamic spatial microsimulation model that simulates the population evolution through the individual changes in various demographic processes at a fine spatial scale. Following discussions of the features of this model, details of the model design and development are described. The simulated results over the period of 30 years are also analysed and discussed.
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References
Anderson, J. (1997). Models for retirement policy analysis (Report to the Society of Actuaries). Available at: http://www.soa.org/research/pension/research-models-for-retirement-policyanalysis.aspx. Accessed 10 Apr 2011.
Ballas, D., & Clarke, G. (2001). Modelling the local impacts of national social policies: A spatial microsimulation approach. Environment and Planning C: Government and Policy, 19, 587–606.
Ballas, D., Rossiter, D., Thomas, B., Clarke, G., & Dorling, D. (2005). Geography matters: Simulating the local impacts of national social policies. York: The Joseph Rowntree Foundation. ISBN 1 85935 266 9.
Birkin, M., Clarke, G., & Clarke, M. (1996). Urban and regional modelling at the microscale. In G. P. Clarke (Ed.), Microsimulation for urban and regional policy analysis (pp. 10–27). London: Pion.
Birkin, M., Turner, A., & Wu, B. (2006, June). A synthetic demographic model of the UK population: Methods, progress and problems. Proceeding of paper presented at The Second International Conference on e-Social Science, Manchester, UK.
Birkin, M., Procter, R., Allan, R., Bechhofer, S., Buchan, I., Goble, C., Hudson-Smith, A., Lambert, P., de Roure, D., & Sinnott, R. (2010). The elements of a computational infrastructure for social simulation. Philosophical Transactions of the Royal Society A, 368(1925), 3797–3812.
Bourguignon, F., & Spadaro, A. (2006). Microsimulation as a tool for evaluating redistribution policies (Working Paper 2006–20). Society for the Study of Economic Inequality. Available from http://www.ecineq.org/milano/WP/ECINEQ2006–20.pdf. Accessed 8 Apr 2011.
Brown, L., & Harding A. (2002). Social modelling and public policy: Application of microsimulation modelling in Australia. Journal of Artificial Societies and Social Simulation, 5(4). Available at http://jasss.soc.surrey.ac.uk/5/4/6.html. Accessed 22 Aug 2011.
Chin, S. F., Harding, A., Lloyd, R., McNamara, J., Phillips, B., & Vu, Q. (2005). Spatial microsimulation using synthetic small area estimates of income, tax and social security benefits. Australasian Journal of Regional Studies, 11(3), 303–336.
De Man, W. (1988). Establishing a geographic information system in relation to its use: A process of strategic choices. International Journal of Geographical Information Systems, 2(3), 245–261.
Gilbert, N., & Troitzsch, K. G. (2005). Simulation for the social scientist. Berkshire: Open University Press.
Hägerstrand, T. (1985). Time-geography: Focus on the corporeality of man, society, and environment, the science and praxis of complexity. Tokyo: The United Nations University.
Harding, A. (2007, 21 August). Challenges and Opportunities of dynamic microsimulation modelling Plenary paper presented to the 1st General Conference of the International Microsimulation Association, Vienna. Available at http://www.euro.centre.org/ima2007/programme/day2.htm. Accessed 1 July 2012
O’Donoghue, C. (2001). Dynamic microsimulation: A methodological survey. Brazilian Electronic Journal of Economics, 4. Available from: https://www.vengroup.com/ve-net/Library.nsf/ab283684d03f231d80256b520047d321/426E6F6D3E95DF4880256F6A0044E430/$file/Dynamic%20Microsimulation.%20A%20Methodological%20Survey.pdf. Accessed 5 Mar 2009.
ONS (Office of National Statistics, UK). (2001). Table VS4: Vital statistics for wards 2001–2001 boundaries, Produced by Program Annual_ICD10_VS4_2001.
Orcutt, G. H. (1957). A new type of socio-economic system. Review of Economics and Statistics, 39, 116–123.
Rees, P., Stillwell, J., & Tyler-Jones, A. (2004). The city is the people: Demographic structure and dynamics (Chapter 2). In R. Unsworth & J. Stillwell (Eds.), Twenty-first century Leeds: Geographies of a regional city (pp. 26–48). Leeds: Leeds University Press. ISBN 0 85316 242 5.
Rephann, T. (2001). Economic-demographic effects of immigration: Results from a dynamic, spatial microsimulation model. The 2001 Annual Meeting of the Mid-Atlantic Division of the Association of American Geographers, College Park, MD. Available at: http://www.equotient.net/papers/immmic.pdf. Accessed 10 Apr 2011.
Rowland, D. (2003). Demographic methods and concepts. New York: Oxford University Press. ISBN 019875263.
Tanton, R., Vidyattama, Y., McNamara, J., Vu, Q. N., & Harding, A. (2009). Old, single and poor: Using microsimulation and microdata to analyse poverty and the impact of policy change among older Australians. Economic Papers: A Journal of Applied Economics and Policy, 28(2), 102–120.
Van Imhoff, E., & Post, W. (1998). Microsimulation methods for population projection. Population: An English Selection, 10, 97–138.
Vidyattama, Y., Cassells, R., Harding, A., & Mcnamara, J. (2011). Rich or poor in retirement? A small area analysis of Australian private superannuation savings in 2006 using spatial microsimulation. Regional Studies, doi: 10.1080/00343404.2011.589829. Available online: http://www.tandfonline.com/doi/abs/10.1080/00343404.2011.589829
Williamson, P., Birkin, M., & Rees, P. (1998). The estimation of population microdata using data from small area statistics and samples of anonymised records. Environment and Planning A, 30, 785–816.
Wu, B. M., & Hine, J. P. (2003). A PTAL approach to measuring changes in bus service accessibility. Journal of Transport Policy, 10(4), 307–320.
Wu, B. M., Birkin, M. H., & Rees, P. H. (2008). A spatial microsimulation model with student agents. Computers, Environment and Urban Systems, 32, 440–453.
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Wu, B., Birkin, M. (2012). Moses: A Dynamic Spatial Microsimulation Model for Demographic Planning. In: Tanton, R., Edwards, K. (eds) Spatial Microsimulation: A Reference Guide for Users. Understanding Population Trends and Processes, vol 6. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4623-7_11
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