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The Problem with Zoning: Nonlinear Effects of Interactions between Location Preferences and Externalities on Land Use and Utility

Author

Listed:
  • Moira L Zellner

    (Urban Planning and Policy Program, and Institute for Environmental Science and Policy, University of Illinois at Chicago, 412 S. Peoria (MC 348), Chicago, IL 60607-7065, USA)

  • Rick L Riolo

    (Center for the Study of Complex Systems, University of Michigan, 323 West Hall, Ann Arbor, MI 48109-1107, USA)

  • William Rand

    (Robert H Smith School of Business, University of Maryland, 3457 Van Munching Hall, College Park, MD 20742-1815, USA)

  • Daniel G Brown

    (School of Natural Resources and Environment, University of Michigan, 3505 Dana Building, Ann Arbor, MI 48109, USA)

  • Scott E Page

    (Center for the Study of Complex Systems, Department of Political Science, and Department of Economics, University of Michigan, 321 West Hall, Ann Arbor, MI 48109-1107, USA)

  • Luis E Fernandez

    (Department of Biology, Stanford University, and Department of Global Ecology, Carnegie Institution for Science, 260 Panama St, Stanford, CA 94305, USA)

Abstract

An important debate in the literature on exurban sprawl is whether low-density development results from residential demand, as operationalized by developers, or from exclusionary zoning policies. Central to this debate is the purpose of zoning, which could alternatively be a mechanism to increase the utility of residents by separating land uses and reducing spillover effects of development, or an obstacle to market mechanisms that would otherwise allow the realization of residential preferences. To shed light on this debate, we developed an agent-based model of land-use change to study how the combined effects of zoning-enforcement levels, density preferences, preference heterogeneity, and negative externalities from development affect exurban development and the utility of residents. Our computational experiments show that sprawl is not inevitable, even when most of the population prefers low densities. The presence of negative externalities consistently encourage sprawl while decreasing average utility and flattening the utility distribution. Zoning can reduce sprawl by concentrating development in specific areas, but in doing so decreases average utility and increases inequality. Zoning does not internalize externalities; instead, it contains externalities in areas of different development density so that residents bear the burden of the external effects of the density they prefer. Effects vary with residential preference distributions and levels of zoning enforcement. These initial investigations can help inform policy makers about the conditions under which zoning enforcement is preferable to free-market development and vice versa. Future work will focus on the environmental impacts of different settlement patterns and the role land-use and market-based policies play in this relationship.

Suggested Citation

  • Moira L Zellner & Rick L Riolo & William Rand & Daniel G Brown & Scott E Page & Luis E Fernandez, 2010. "The Problem with Zoning: Nonlinear Effects of Interactions between Location Preferences and Externalities on Land Use and Utility," Environment and Planning B, , vol. 37(3), pages 408-428, June.
    • Handle: RePEc:sae:envirb:v:37:y:2010:i:3:p:408-428
    DOI: 10.1068/b35053
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    References listed on IDEAS

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    1. John H. Miller & Scott E. Page, 2007. "Social Science in Between, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    2. Elena G. Irwin, 2002. "Interacting agents, spatial externalities and the evolution of residential land use patterns," Journal of Economic Geography, Oxford University Press, vol. 2(1), pages 31-54, January.
    3. Michael P Johnson, 2001. "Environmental Impacts of Urban Sprawl: A Survey of the Literature and Proposed Research Agenda," Environment and Planning A, , vol. 33(4), pages 717-735, April.
    4. Sen, Amartya, 1973. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198281931, Decembrie.
    5. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
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