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A quasi-equilibrium approach for market clearing in land use microsimulations

Author

Listed:
  • Ricardo Hurtubia
  • Francisco Javier Martinez
  • Michel Bierlaire

Abstract

A method for market clearing in land use models with a microsimulation approach for location choice of agents is proposed. The method, based on the Bid-auction theory and random utility models, assumes that agents individually adjust their perceived expected utility by observing market prices before entering auctions for a real estate good, hence modifying their overall willingness to pay for locations. The adjustment translates into a correction of each agent’s bid level that follows the direction of supply-demand equilibrium, as they attempt to ensure their location. In each period, auctions for each available real estate good are simulated and prices are computed as the expected maximum bid of all agents in the market. The proposed method is tested for the city of Brussels, validated against real data and compared with results obtained when the bid adjustment is not included. Simulation results reproduce price trends that were observed in reality between the year 2001 and 2008, outperforming results obtained without a quasi-equilibrium bid adjustment approach. The proposed method is feasible to be implemented in large scale microsimulations and agent-based models because it does not require solving large fixed-point equilibrium problems.

Suggested Citation

  • Ricardo Hurtubia & Francisco Javier Martinez & Michel Bierlaire, 2019. "A quasi-equilibrium approach for market clearing in land use microsimulations," Environment and Planning B, , vol. 46(3), pages 445-468, March.
  • Handle: RePEc:sae:envirb:v:46:y:2019:i:3:p:445-468
    DOI: 10.1177/2399808317719071
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    References listed on IDEAS

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    1. Chen, Yong & Irwin, Elena G. & Jayaprakash, Ciriyam, 2011. "Incorporating Spatial Complexity into Economic Models of Land Markets and Land Use Change," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(3), pages 321-340, December.
    2. Alex Anas & Yu Liu, 2007. "A Regional Economy, Land Use, And Transportation Model (Relu‐Tran©): Formulation, Algorithm Design, And Testing," Journal of Regional Science, Wiley Blackwell, vol. 47(3), pages 415-455, August.
    3. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    4. Shipeng Sun & Dawn C. Parker & Qingxu Huang & Tatiana Filatova & Derek T. Robinson & Rick L. Riolo & Meghan Hutchins & Daniel G. Brown, 2014. "Market Impacts on Land-Use Change: An Agent-Based Experiment," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 104(3), pages 460-484, May.
    5. Ellickson, Bryan, 1981. "An alternative test of the hedonic theory of housing markets," Journal of Urban Economics, Elsevier, vol. 9(1), pages 56-79, January.
    6. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, Enero-Abr.
    7. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    8. Francisco Martínez & Ricardo Hurtubia, 2006. "Dynamic Model for the Simulation of Equilibrium Status in the Land Use Market," Networks and Spatial Economics, Springer, vol. 6(1), pages 55-73, March.
    9. Chen, Yong & Irwin, Elena G. & Jayaprakash, Ciriyam, 2011. "Incorporating Spatial Complexity into Economic Models of Land Markets and Land Use Change," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), pages 1-20, December.
    10. Ricardo Hurtubia & Michel Bierlaire, 2014. "Estimation of Bid Functions for Location Choice and Price Modeling with a Latent Variable Approach," Networks and Spatial Economics, Springer, vol. 14(1), pages 47-65, March.
    11. Farooq, Bilal & Bierlaire, Michel & Hurtubia, Ricardo & Flötteröd, Gunnar, 2013. "Simulation based population synthesis," Transportation Research Part B: Methodological, Elsevier, vol. 58(C), pages 243-263.
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    1. Huai, Yue & Lo, Hong K. & Zhang, Anming, 2025. "Optimal private housing supply under various schemes of public housing provision," Transportation Research Part B: Methodological, Elsevier, vol. 196(C).

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