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Incorporating Spatial Complexity into Economic Models of Land Markets and Land Use Change

  • Yong Chen (a1), Elena G. Irwin (a2) and Ciriyam Jayaprakash (a3)

Abstract

Recent work in regional science, geography, and urban economics has advanced spatial modeling of land markets and land use by incorporating greater spatial complexity, including multiple sources of spatial heterogeneity, multiple spatial scales, and spatial dynamics. Doing so has required a move away from relying solely on analytical models to partial or full reliance on computational methods that can account for these added features of spatial complexity. In the first part of the paper, we review economic models of urban land development that have incorporated greater spatial complexity, focusing on spatial simulation models with spatial endogenous feedbacks and multiple sources of spatial heterogeneity. The second part of the paper presents a spatial simulation model of exurban land development using an auction model to represent household bidding that extends the traditional Capozza and Helsley (1990) model of urban growth to account for spatial dynamics in the form of local land use spillovers and spatially heterogeneous land characteristics.

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Alonso, W. 1964. Location and Land Use: Toward a General Theory of Land Rent. Cambridge, MA: Harvard University Press.
Arnott, R.J. 1980. “A Simple Urban-Growth Model with Durable Housing.” Regional Science and Urban Economics 10(1): 5376.
Arnott, R.J. and Lewis, F.D. 1979. “The Transition of Land to Urban Use.” The Journal of Political Economy 87(1): 161169.
Bayer, P. Keohane, N. and Timmins, C. 2009. “Migration and Hedonic Valuation: The Case of Air Quality.” Journal of Environmental Economics and Management 58(1): 114.
Bayer, P.J. McMillen, R. Murphy, A. and Timmins, C. 2010. “A Dynamic Model of Demand for Houses and Neighborhoods.” Available at http://ssm.com/abstract=1717060 (accessed July 14, 2011).
Bayer, P. and Timmins, C. 2005. “On the Equilibrium Properties of Locational Sorting Models.” Journal of Urban Economics 57(3): 462477.
Boucekkine, R. Camacho, C. and Zou, B. 2009. “Bridging the Gap Between Growth Theory and the New Economic Geography: The Spatial Ramsey Model.” Macroeconomic Dynamics 13(1): 2045.
Brock, W. and Xepapadeas, A. 2008. “Diffusion-Induced Instability and Pattern Formation in Infinite Horizon Recursive Optimal Control.” Journal of Economic Dynamics and Control 32(9): 27452787.
Capozza, D. and Helsley, R. 1989. “The Fundamentals of Land Prices and Urban Growth.” Journal of Urban Economics 26(3): 295306.
Capozza, D. and Helsley, R. 1990. “The Stochastic City.” Journal of Urban Economics 28(2): 187203.
Caruso, G. Peeters, D. Cavailhes, J. and Rounsevell, M. 2007. “Spatial Configurations in a Periurban City: A Cellular Automata-Based Microeconomic Model.” Regional Science and Urban Economics 37(5): 542567.
Chen, Y. 2009. “Three Essays on the Interactions Between Regional Development and Natural Amenities.” Ph.D. thesis, Department of Agricultural, Environmental and Development Economics, Ohio State University, Columbus, OH.
Chen, Y. Jayaprakash, C. and Irwin, E.G. 2010. “Exurban Land Development with Short Run Dynamics.” Paper presented at the 2010 North American Regional Science Council's annual meetings, Denver, CO (November 11-14, 2010).
Desmet, K. and Rossi-Hansberg, E. 2010. “On Spatial Dynamics.” Journal of Regional Science 50(1): 4363.
Duffy, J. 2006. “Agent-Based Models and Human-Subject Experiments.” In Tesfatsion, L. and Judd, K.L. eds., Handbook of Computational Economics: Agent-Based Computational Economics (Vol. 2). Amsterdam: North-Holland.
Epple, D. and Sieg, H. 1999. “Estimating Equilibrium Models of Local Jurisdictions.” Journal of Political Economy 107(4): 645681.
Ettema, D. 2011. “A Multi-Agent Model of Urban Processes: Modeling Relocation Processes and Price Setting in Housing Markets.” Computers, Environment, and Urban Systems 35(1): 111.
Filatova, T. Parker, D. and van der Veen, A. 2009. “Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change.” Journal of Artificial Societies and Social Simulation 12(1).
Filatova, T. van der Veen, A. and Parker, D. 2009. “Land Market Interactions Between Heterogeneous Agents in a Heterogeneous Landscape: Tracing the Macro-Scale Effects of Individual Trade-Offs Between Environmental Amenities and Disamenities.” Canadian Journal of Agricultural Economics 57(4): 431457.
Fujita, M. and Krugman, P. 1995. “When Is the Economy Monocentric? Von Thünen and Chamberlin Unified.” Regional Science and Urban Economics 25(4): 505528.
Fujita, M. and Ogawa, H. 1982. “Multiple Equilibria and Structural Transition of Nonmonocentric Urban Configuration.” Regional Science and Urban Economics 12(2): 161196.
Hommes, C. 2006. “Heterogeneous Agent Models in Economics and Finance.” In Tesfatsion, L. and Judd, K.L. eds., Handbook of Computational Economics: Agent-Based Computational Economics (Vol. 2). Amsterdam: North-Holland.
Irwin, E.G. 2010. “New Directions for Urban Economic Models of Land Use Change: Incorporating Spatial Dynamics and Heterogeneity.” Journal of Regional Science 50(1): 6591.
Klaiber, A. and Phaneuf, D. 2010. “Valuing Open Space in a Residential Sorting Model of the Twin Cities.” Journal of Environmental Economics and Management 60(2): 5777.
Krugman, P. 1991. “Increasing Returns and Economic Geography.” Journal of Political Economy 99(3): 483499.
LeBaron, B. 2006. “Agent-Based Computational Finance.” In Tesfatsion, L. and Judd, K.L. eds., Handbook of Computational Economics: Agent-Based Computational Economics (Vol. 2). Amsterdam: North-Holland.
Magliocca, N. McConnell, V. and Walls, M. 2011. “Explaining Sprawl with an Agent-Based Model of Exurban Land and Housing Markets.” RFF Discussion Paper No. DP 11-33, Resources for the Future, Washington, D.C.
Magliocca, N. McConnell, V. and Walls, M. Forthcoming. “Zoning on the Urban Fringe: Results from a New Approach to Modeling Land and Housing Markets.” Regional Science and Urban Economics.
McGarigal, K. Cushman, S.A. Neel, M.C. and Ene, E. 2002. “FRAGSTATS: Spatial Pattern Analysis Program for Categorical Maps.” Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at http://www.umass.edu/landeco/research/fragstats/fragstats.html (accessed July 12, 2011).
Miller, E. Hunt, J.D. Abraham, J.E. and Salvini, P.A. 2004. “Microsimulating Urban Systems.” Computers, Environment, and Urban Systems 28(1/2): 944.
Mills, E. 1967. “An Aggregative Model of Resource Allocation in Metropolitan Areas.” American Economic Review 3(2): 129144.
Murphy, A. 2007. “A Dynamic Model of Housing Supply.” Available at http://apps.olin.wustl.edu/faculty/murphya/supply.pdf (accessed July 12, 2011).
Muth, R. 1969. Cities and Housing. Chicago: University of Chicago Press.
Ogawa, H. and Fujita, M. 1980. “Equilibrium Land Use in a Nonmonocentric City.” Journal of Regional Science 20(4): 455475.
Paciorek, A. 2010. “Supply Constraints and Housing Market Dynamics.” Real Estate Department, Wharton School, University of Pennsylvania, Philadelphia, PA. Available at http://assets.wharton.upenn.edu/∼paciorek/Docs/Paciorek011511.pdf (accessed July 12, 2011).
Parker, D.C. and Filatova, T. 2008. “A Conceptual Design for a Bilateral Agent-Based Land Market with Heterogeneous Economic Agents.” Computers, Environment, and Urban Systems 32(6): 454463.
Parker, D.C. and Filatova, T. 2011. Personal communication, D. Parker, Associate Professor, University of Waterloo, Waterloo, Ontario, and T. Filatova, Assistant Professor, University of Twente, Enschede, the Netherlands.
Parker, D.C. Manson, S.M. Janssen, M.A. Hoffmann, M. and Deadman, P. 2003. “Multi-Agent Systems for the Simulation of Land Use and Land Cover Change: A Review.” Annals of the Association of American Geographers 93(2): 314317.
Smith, M. Sanchirico, J. and Wilen, J. 2009. “The Economics of Spatial-Dynamic Processes: Applications to Renewable Resources.” Journal of Environmental Economics and Management 57(1): 104121.
Smith, V.K. Sieg, H. Banzhaf, H.S. and Walsh, R. 2004. “General Equilibrium Benefits for Environmental Improvements: Projected Ozone Reductions under EPA's Prospective Analysis for the Los Angeles Air Basin.” Journal of Environmental Economics and Management 47(3): 559584.
Tajibaeva, L. Haight, R. and Polasky, S. 2008. “A Discrete-Space Urban Model with Environmental Amenities.” Resource and Energy Economics 30(2): 170196.
Tesfatsion, L. 2006. “Agent-Based Computational Economics: A Constructive Approach to Economic Theory.” In Tesfatsion, L. and Judd, K.L. eds., Handbook of Computational Economics: Agent-Based Computational Economics (Vol. 2). Amsterdam: North-Holland.
Turner, M.A. 2005. “Landscape Preferences and Patterns of Residential Development,” Journal of Urban Economics 57(1): 1954.
Waddell, P. Borning, A. North, M. Freier, N. Becke, M. and Ulfarsson, G. 2003. “Microsimulation of Urban Development and Location Choices: Design and Implementation of UrbanSim.” Networks and Spatial Economics 3(1): 4367.
Walsh, R.L. 2007. “Endogenous Open Space Amenities in a Locational Equilibrium.” Journal of Urban Economics 61(2): 319344.
Wrenn, D. 2011. “Development Timing, Choice, and Pattern: Three Essays on the Conversion of Exurban Land.” Ph.D. thesis draft, Agricultural, Environmental and Development Economics Department, Ohio State University, Columbus, OH.
Wu, J. and Plantinga, A.J. 2003. “The Influence of Public Open Space on Urban Spatial Structure.” Journal of Environmental Economics and Management 46(2): 288309.
Zhang, W. Wrenn, D. and Irwin, E. 2011. “New Metrics for Quantifying Spatial-Temporal Patterns of Leapfrog Development.” Unpublished manuscript, Agricultural, Environmental and Development Economics Department, Ohio State University, Columbus, OH.

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Incorporating Spatial Complexity into Economic Models of Land Markets and Land Use Change

  • Yong Chen (a1), Elena G. Irwin (a2) and Ciriyam Jayaprakash (a3)

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