Abstract
The aim of the model is to simulate migrations of social groups over certain geographical regions. The people move in search of better work opportunities and welfare. The main model components are regions and individuals belonging to certain social groups. The region is characterized by more than 30 parameters, such as geographical data, actual population statistics, education facilities, and work opportunities, among others. For the social groups, the parameters include the demographic and educational statistics. The simulated individuals attempt to optimize their welfare by moving over the model map. The region parameters change due to the number and the parameters of incoming individuals, which provides a dynamic and nonlinear feedback. The qualitative results show that the model never reaches a steady state and that the social groups remain in periodical movement. The random walk, welfare-looking migration, spontaneous migration, as well as movements caused by the gregarious (herd) instinct are simulated. The simulations are agent-based. No differential equations or any extant theory or mathematical model is used.
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References
Basener W, Basener B, Radin M, Wiandt T (2008) Dynamics of a discrete population model for extinction and sustainability in ancient civilizations. Nonlinear Dyn Psychol Life Sci 12(1):29–53
Grigg DB (1977) E. G. Ravenstein and the laws of migration. J Hist Geogr 3(1):41–54
Harris JR, Todaro MP (1970) Migration, unemployment and development: a two-sector analysis. Am Econ Rev 60(1):126–142
Lee ES (1966) A theory of migration. Demography 3(1):47–57
Powers DMW (1998) Applications and explanations of Zipf’s law. Conference paper: ‘98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning, Sydney, Australia, ISBN/ISSN 0-7258-0634-6
Railsback SF, Lytinen SL, Jackson SK (2006) Agent-based simulation platforms: review. Simulation 82(9):609–623. https://doi.org/10.1177/0037549706073695
Rodrigue JP, Comtois C, Slack B (2009) The geography of transport systems. Routledge, New York. ISBN: 978-0-415-48324-7
Sambrook RC (2008) Spatial behavior analysis at the global level using fractal geometry. Nonlinear Dyn Psychol Life Sci 12(1):3–13
Stark O, Levhari D (1982) On migration and risk in LDCs. Econ Dev Cult Chang 31(1):191–196
Wadycki WJ (1975) Stouffer’s model of migration: a comparison of interstate and metropolitan flows. Demography 12(1):121–128
Willis CE (1992) The effect of sex role stereotype, victim and defendant race, and prior relationship on rape culpability attributions. Sex Roles 26(5–6):213–226, ISSN: 0360-0025
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Raczynski, S. (2020). Influence of the Gregarious Instinct and Individuals’ Behavior Patterns on Macro Migrations: Simulation Experiments. In: Interacting Complexities of Herds and Social Organizations. Evolutionary Economics and Social Complexity Science, vol 19. Springer, Singapore. https://doi.org/10.1007/978-981-13-9337-2_6
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DOI: https://doi.org/10.1007/978-981-13-9337-2_6
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