LocSim: A probabilistic model of choice heuristics

  • Anton Oskamp


Arrival Rate Housing Market Acceptance Rate Acceptance Interval Allocation Rule 
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  1. Brown, L.A., and E.G. Moore (1970), “The intra-urban migration process: a perspective”,Geografiska Annaler, (52B), no. 1, pp. 1–13.Google Scholar
  2. Camstra, R. (1992),Decision plan nets en het substitutiegedrag in woningkeuzeprocessen, TNO-Beleidsstudies, Delft: INRO-TNO.Google Scholar
  3. Clark, W.A.V., and M. Cadwallader (1973), “Locational stress and residential mobility”, in:Environment and Behavior, (5), pp. 29–42.Google Scholar
  4. Clark, W.A.V., and J. Onaka (1983), “Lifecycle and housing adjustment as explanation of residential mobility”,Urban Studies, (20), pp. 47–57.Google Scholar
  5. Duley, C., P. Rees, and M. Clarke (1988), “A Microsimulation Model for Updating Households in Small Areas between Censuses”, paper presented at the Workshop on ‘Multistate Demography: Measurement, Analysis, Forecasting’, October 31–November 4, 1988, Kerkebosch Castle, Zeist, organized by NIDI and the University of Utrecht.Google Scholar
  6. Goetgeluk, R. (1991),Woonwensen en substitutiegeneigdheid in de gemeenten Utrecht en Nieuwegein onder verhuisden uit het jaar 1990, Utrecht: Faculty of Geographical Science, Utrecht University.Google Scholar
  7. Hooimeijer, P., and M. Linde (1988),Vergrijzing, individualisering en de woningmarkt; het WODYN-simulatiemodel, Utrecht: Utrecht University.Google Scholar
  8. McCarthy, K. (1982), “An analytical model of housing search and mobility”, in: Clark, W.A.V. (ed.),Modelling Housing Market Search, London: Croom Helm, pp. 30–53.Google Scholar
  9. Merz, J. (1991), “Microsimulation—A survey of principles developments and applications”,International Journal of Forecasting, 7, pp. 77–104.CrossRefGoogle Scholar
  10. Oskamp, A. (1989),Microsimulatie op gemeentelijk niveau. Een aanzet tot de ontwikkeling van een microsimulatie-model voor gemeentelijke bevolkings-prognoses, Amsterdam: PDI, University of Amsterdam.Google Scholar
  11. Oskamp, A. (1993), “Simulating housing search; a model of individual decision and acceptance rules”, Paper presented at the 8th European Theoretical and Quantative Geographical Colloquium, Budapest, 12–16 September 1993.Google Scholar
  12. Oskamp, A. (1994), “A probabilistic heuristic housing search model”, paper prepared for the Summer School ‘Choice Processes in Demography, 6–20 July, Wassenaar, The Netherlands.Google Scholar
  13. Otter, H.J. den (1992),Substitutie op de woningmarkt, TNO-Beleidsstudies, Delft: INRO-TNO.Google Scholar
  14. Priemus, H. (1984),Verhuistheorieën en de verdeling van de woningvoorraad, Delft University Press. Delft.Google Scholar
  15. Rossi, P.H. (1955),Why families move. A study in the social psychology of urban residential mobility, The Free Press, Glencoe Illinois.Google Scholar
  16. Speare, A., S. Goldstein, and W. Frey (1975),Residential Mobility, Migration and Metropolitan Change, Cambridge: Mass Balinger.Google Scholar
  17. Timmermans, H., and R. van der Heijden (1987), “Uncovering spatial decision making processes: a decision net approach applied to recreational choice behaviour”,Tijdschrift voor Economische en Sociale Geografie, (78), no. 4, pp. 2976–304.Google Scholar
  18. Wegener, M. (1983), “A simulation study of movement in the Dortmund housing market”,Tijdschrift voor Economische en Sociale Geografie, (74), noo. 4, pp. 267–281.CrossRefGoogle Scholar

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© Delft University Press 1994

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  • Anton Oskamp

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