Urban Renaissance or Invasion: Planning the Development of a Simulation Model of Gentrification

  • Adam EckerdEmail author
  • Tony Reames


Gentrification has gone from being perceived as a process that cities should avoid at all costs to a welcome result of sound economic redevelopment policy. This transformation in perception is rooted in the recent decoupling of the inflow of high-status residents to the urban core from the outflow of low-status residents. However, it is unclear whether this decoupling is based on an actual lack of a relationship between displacement of the poor and urban resettlement by the rich or is rather a relic of the empirical difficulty of empirically tracking the movements of displaced populations. In this chapter, we propose assessing the extent to which the decoupling of gentrification and displacement is warranted by deriving an agent-based residential sorting model to represent the dynamics of urban neighborhood change.


Neighborhood Characteristic Real Estate Market Simulation Trial Wicked Problem Residential Demand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. Abu-Lughod, Janet L. (1999). New York, Chicago, Los Angeles: America’s Global Cities. Minneapolis, MN: University of Minnesota Press.Google Scholar
  2. Axelrod, R. (1997). The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton, NJ: Princeton University Press.Google Scholar
  3. Balint, P., Stewart, R. Desai, A., and Walters, L. (2011). Wicked Environmental Problems: Managing Uncertainty and Conflict. Washington, DC: Island Press.Google Scholar
  4. Banzhaf H., and Walsh, R. 2008. Do People Vote with Their Feet? An empirical test of Tiebout’s mechanism. American Economic Review. 98(3): 843–863.CrossRefGoogle Scholar
  5. Bartik, T. J. (1991). Who Benefits from State and Local Economic Development Policies? Kalamazoo, MI: W.E. Upjohn Institute for Employment Research.Google Scholar
  6. Batty, M., Xie, Y., and Sun, Z. (1999). Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 23(3), 205–233.CrossRefGoogle Scholar
  7. Beauregard, R. (1986). The chaos and complexity of gentrification. In N. Smith and P. Williams eds. The gentrification of the city (pp. 35–55). Allen and Unwin, Boston.Google Scholar
  8. Berger, T. (2001). Agent-based spatial models applied to agriculture: A simulation tool for technology diffusion, resource use changes and policy analysis. Agricultural Economics, 25, 245–260.CrossRefGoogle Scholar
  9. Brueckner, J, and Rosenthal, S. (2009). Gentrification and neighborhood housing cycles: Will America’s future downtowns be rich? Review of Economics and Statistics, 91(4), 725–743.CrossRefGoogle Scholar
  10. Can, A. (1990). The Measurement of Neighborhood Dynamics in Urban House Prices. Economic Geography, 66(3), 254–272.CrossRefGoogle Scholar
  11. Casti, J. (1997). Would-Be Worlds: How Simulation is Changing the Frontiers of Science. Toronto: Wiley.Google Scholar
  12. Chernoff, Michael. (1980). Social displacement in a renovating neighborhood’s commercial ­district: Atlanta. In Shirley B. Laska and Daphne Spain eds. Back to the City: Issues in Neighborhood Renovation (pp. 208–18). New York: Pergamon Press.Google Scholar
  13. Clark, E. (1992). On blindness, centrepieces and complementarity in gentrification theory. Transactions of the Institute of British Geographers, (17)3, 358–362.Google Scholar
  14. Clark, E. (2005). The order and simplicity of gentrification: A political challenge. In eds Atkinson, R., and Bridge, G. Gentrification in a global context: The new urban colonialism. London: Routledge.Google Scholar
  15. Clay, P., 1979. Neighborhood Renewal: Middle-class Resettlement and Incumbent Upgrading in American Neighborhoods. Lexington Books, Lexington, MA.Google Scholar
  16. Davis, J., Eisenhardt, K., and Bingham, C. (2007). Developing theory through simulation methods. Academy of Management Review, 32(2), 480–499.CrossRefGoogle Scholar
  17. Dean, J., Gumerman, G., Epstein, J., Axtell, R. Swedlund, A., Parker, M., McCarroll, S. (1999). Understanding Anasazi culture change through agent-based modeling. In eds Kohler, T., and Gumerman, G. Dynamics in Human and Primate Societies. Oxford: Oxford University Press.Google Scholar
  18. Eckerd, A. (2011). Cleaning up without clearing out? An assessment of environmental gentrification. Urban Affairs Review, 47(1), 31–59.CrossRefGoogle Scholar
  19. Ellen, I.G., and O’Regan, K.M. (2011). How low income neighborhoods change: entry, exit, and enhancement. Regional Science and Urban Economics, 41, 8997.CrossRefGoogle Scholar
  20. Engelen, G., White, R., Uljee, I., and Drazan, P. (1995). Using cellular automata for integrated modeling of socio-environmental systems. Environmental Monitoring and Assessment, 34(2), 203–214.CrossRefGoogle Scholar
  21. Epstein, J. (2006). Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton, NJ: Princeton University Press.Google Scholar
  22. Epstein, J., and Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom Up. Washington, DC: Brookings Institution Press.Google Scholar
  23. Florida, R. (2002). The Rise of the Creative Class: And How It’s Transforming Work, Leisure, Community and Everyday Life. New York: Basic Books.Google Scholar
  24. Forrester, J., and Senge, P. (1980). Tests for building confidence in system dynamics models. TIMS Studies in Management Sciences, 14, 209–228.Google Scholar
  25. Freeman, L. (2005). Displacement or succession? Residential mobility in gentrifying neighborhoods. Urban Affairs Review, 40(4), 463–491.CrossRefGoogle Scholar
  26. Freeman, L. (2006). There Goes the ‘Hood: Views of Gentrification from the Ground Up. Philadelphia, PA: Temple University Press.Google Scholar
  27. Freeman, L. (2008). Comment on ‘The eviction of critical perspectives from gentrification research’. International Journal of Urban and Regional Research, 32(1), 186–191.CrossRefGoogle Scholar
  28. Gass, S. (1983). Decision-aiding models: Validation, assessment, and related issues for policy analysis. Operations Research, 31(4), 603–631.CrossRefGoogle Scholar
  29. Glass, R., et al. (1964). London: Aspects of change. London: MacGibbon and Kee.Google Scholar
  30. Grier, G., & Grier, E.E. (1978). Urban displacement: a reconnaissance. Washington, DC: U.S. Department of Housing and Urban Development.Google Scholar
  31. Hackworth, J. (2002). Post-recession gentrification in New York City. Urban Affairs Review, 37, 815–843.CrossRefGoogle Scholar
  32. Hamnett, C. (1991). The blind men and the elephant: The explanation of gentrification. Transactions of the Institute of British Geographers, 16(2), 173–189.CrossRefGoogle Scholar
  33. Hamnett, C. (2003). Unequal City: London in the Global Arena. London: Routledge.Google Scholar
  34. Holland, J. (1998). Emergence: From Chaos to Order. Reading, MA: Perseus.Google Scholar
  35. Johnston, E., Kim, Y., and Ayyangar, M. (2007). Intending the unintended: The act of building agent-based models as a regular source of knowledge generation. Interdisciplinary Description of Complex Systems, 5(2), 81–91.Google Scholar
  36. Kennedy, M. and Leonard, P. (2001). Dealing with neighborhood change: A primer on gentrification and policy choices. Discussion paper prepared for The Brookings Institution Center on Urban and Metropolitan Policy.Google Scholar
  37. Ladd, E. (1977). Liberalism upside down: The inversion of the New Deal order. Political Science Quarterly, 91(4), 557–600.Google Scholar
  38. Lee, B. A., & Hodge, D.C. (1984). Spatial differentials in residential displacement. Urban Studies, 21, 219–231.CrossRefGoogle Scholar
  39. Lees, L. (2000). A Reappraisal of gentrification: Towards a ‘geography of gentrification’. Progress in Human Geography, 24(3), 389–408.CrossRefGoogle Scholar
  40. Lees, L. (2008). Gentrification and social mixing: Towards an inclusive urban renaissance? Urban Studies, 45(12), 2449–2470.CrossRefGoogle Scholar
  41. Lees, L., and Ley, D. (2008). Introduction to special issue on gentrification and public policy. Urban Studies, 45(12), 2379–2384.CrossRefGoogle Scholar
  42. LeGates, R., and Hartman, C. (1986). The anatomy of displacement in the U.S. In N. Smith and P. Williams (eds) The Gentrification of the City (pp.178–200). Boston: Allen and Unwin.Google Scholar
  43. Levy, P. R., and Roman A. C. (1980). The hidden dimensions of culture and class: Philadelphia. In Shirley B. Laska and Daphne Spain eds. Back to the City: Issues in Neighborhood Renovation (pp. 143–153). New York: Pergamon Press.Google Scholar
  44. Ley, D. (1986). Alternative explanations for inner-city gentrification: A Canadian assessment. Annals of the Association of American Geographers, 76(4), 521–535.CrossRefGoogle Scholar
  45. Ley, D. (1987). The rent-gap revisited. Annals of the Association of American Geographers, 77, 465–468.CrossRefGoogle Scholar
  46. Li. M.M., and Brown, H.J. (1980). Micro-neighborhood externalities and hedonic housing prices. Land Economics, 56(2), 125–141.CrossRefGoogle Scholar
  47. London, B., Lee, B. A., and Lipton S. G. (1986). The determinants of gentrification in the united states: a city-level analysis. Urban Affairs Review, 21, 369–387. CrossRefGoogle Scholar
  48. Lyons, M. (1996). Gentrification, socioeconomic change, and the geography of displacement. Journal of Urban Affairs, 18(1), 39–62.CrossRefGoogle Scholar
  49. McKinnish, T., Walsh, R., White, T.K. (2010). Who gentrifies low-income neighborhoods? Journal of Urban Economics, 67 (2), 180–193.CrossRefGoogle Scholar
  50. Mohai, P. and B. Bryant. (1992). Environmental racism: Reviewing the evidence, in B. Bryant and P. Mohai eds., Race and the Incidence of Environmental Hazards. Boulder, CO: Westview Press.Google Scholar
  51. Nelson, K. (1988). Gentrification and Distressed Cities. University of Wisconsin Press: Madison, WI.Google Scholar
  52. Newman, K., and Wyly, E. (2006). The right to stay put, revisited: Gentrification and resistance to displacement in New York City. Urban Studies, 43, 23–57.CrossRefGoogle Scholar
  53. O’Sullivan, D. (2002). Toward micro-scale spatial modeling of gentrification. Journal of Geographic Systems, 4, 251–274.CrossRefGoogle Scholar
  54. Palen, J. J., and London, B. (1984). Gentrification, Displacement and Neighborhood Revitalization. Albany: SUNY Press.Google Scholar
  55. Papachristos, A., Smith, C., Scherer, M., and Fugiero, M. (1984) More Coffee, Less Crime? The Relationship between Gentrification and Neighborhood Crime Rates in Chicago, 1991 to 2005. City & Community, 10(3), 215–240.CrossRefGoogle Scholar
  56. Pattillo, M. (2007). Black on the block: the politics of race and class in the city. Chicago, IL: University of Chicago Press.Google Scholar
  57. Perez, G. M. (2004). Gentrification, intrametropolitan, migration, and the politics of place. In The Near Northwest Side Story: Migration, Displacement, and Puerto Rican Families (pp. 142–152). Berkeley, CA: University of California PressGoogle Scholar
  58. Redfern, P. (2003). What makes gentrification ‘gentrification’? Urban Studies, 40(12), 2351–2366.CrossRefGoogle Scholar
  59. Rittel, H., and Webber, M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4, 155–169.CrossRefGoogle Scholar
  60. Rose, D. (1984). Rethinking gentrification – beyond the uneven development of Marxist urban theory. Environment and Planning D: Society and Space, 2(1), 47–74.CrossRefGoogle Scholar
  61. Rymond-Richmond, W. C. (2007). “Habitus of Habitat: Mapping the History, Redevelopment, and Crime in Public Housing.” Dissertation Thesis. Chicago, IL: Northwestern University.Google Scholar
  62. Sanchez, T.W., and Dawkins, C.J. (2001). Source Distinguishing city and suburban movers: Evidence from the American housing survey. Housing Policy Debate, 12(3), 607–631.CrossRefGoogle Scholar
  63. Schelling, T. (1978). Micromotives and Macrobehavior. New York: W.W. Norton and Company.Google Scholar
  64. Slater, T. (2006). The eviction of critical perspectives from gentrification research. International Journal of Urban and Regional Research, 30(4), 737–757.CrossRefGoogle Scholar
  65. Smith, N. (1979). Toward a theory of gentrification: A back to the city movement by capital not people. Journal of the American Planning Association, 45, 538–548.CrossRefGoogle Scholar
  66. Smith, N. (1982). Gentrification and uneven development. Economic Geography, 58(2), 139–155.CrossRefGoogle Scholar
  67. Smith, N. (1987). Gentrification and the rent-gap. Annals of the Association of American Geographers, 77(3), 462–465.CrossRefGoogle Scholar
  68. Smith, N. (1996). The new urban frontier: gentrification and the revanchist city. New York: Routledge.Google Scholar
  69. Sullivan, D. (2007). Reassessing gentrification: Measuring residents’ opinions using survey data. Urban Affairs Review, 42(4), 583–592.CrossRefGoogle Scholar
  70. Torrens, P., and Nara, A. (2007). Modeling gentrification dynamics: A hybrid approach. Computers, Environment and Urban Systems, 31, 337–361.CrossRefGoogle Scholar
  71. Valler, D., & Wood, A. (2010). Conceptualizing local and regional economic development in the USA. Regional Studies, 44(2),139–151.CrossRefGoogle Scholar
  72. Vigdor, J. (2002). Does gentrification harm the poor? Brookings-Wharton Papers on Urban Affairs. Brookings Institution Press. Washington, DC: 133–174.Google Scholar
  73. Wacquant, L. (2008). Relocating gentrification: The working class, science and the state in recent urban research. International Journal of Urban and Regional Research, 32(1), 198–205.CrossRefGoogle Scholar
  74. Wyly, E., & Hammel, D. (1999). Islands of decay in seas of renewal: Housing policy and the resurgence of gentrification. Housing Policy Debate, 10(4), 711–771.Google Scholar
  75. Zietz, J., Zietz, E. N., and Sirmans, G. S. (2008). Determinants of house prices: a quantile regression approach The Journal of Real Estate Finance and Economics, 37(4), 317–333.CrossRefGoogle Scholar
  76. Zukin, S. (1987). Gentrification: Culture and Capital in the Urban Core. Annual Review of Sociology, 13, 129–147.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Center for Public Administration and Policy, School of Public and International AffairsVirginia Polytechnic Institute and State UniversityAlexandriaUSA

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