Evolutionary Theory and Neighborhood Quality: A Multilevel Selection-inspired Approach to Studying Urban Property Conditions

Applied Research in Quality of Life - Tập 11 - Trang 369-386 - 2014
Russell Weaver1
1Department of Environmental Studies & MS GIS Faculty, University of Redlands, Redlands, USA

Tóm tắt

Actions that increase individual quality of life (QoL) can often undermine QoL at some higher level of aggregation. In cities, this “fundamental problem of social life” is regularly played out in the form of physical disorder. When an urban actor allows his or her property to fall into disrepair, perhaps to allocate resources to more essential uses, this decision reduces the relative quality of that actor’s neighborhood by contributing to local disorder. Researchers and policymakers therefore devote significant attention to understanding and controlling patterns of such behaviors. The central thesis of this paper is that evolutionary theory has much to offer this discourse. First, through synthesizing existing arguments from the urban disorder/decline literature, I develop a framework for studying intra-city disorder that is inspired by evolutionary multilevel selection (MLS) theory. Next, to empirically demonstrate the utility of this framework, I draw on longitudinal data and space-time analysis to find that population-level patterns of substandard property conditions in a given study area—i.e., measurable manifestations of physical disorder—are generated by a combination of individual and group “selective” pressures on property maintenance behavior. The results suggest that adopting an MLS perspective might aid policymakers in managing the processes that produce patterns of urban disorder, which can ultimately help to improve urban QoL.

Tài liệu tham khảo

Amedeo, D., Gollege, R. G., & Stimson, R. J. (2009). Person environment behavior research: Investigating activities and experiences in spaces and environments. New York: The Guilford Press. Anselin, L. (2005). Exploring spatial data with GeoDa: A workbook. Urbana: Center for Spatially Integrated Social Science. Bourne, L. (1981). The geography of housing. Toronto: V.H. Winston & Sons. Brueckner, J., & Helsley, R. (2011). Sprawl and blight. Journal of Urban Economics, 69(2), 205–213. Delmelle, E., Thill, J., Furuseth, O., & Ludden, T. (2012). Trajectories of multidimensional neighborhood quality of life change. Urban Studies, 50, 923–941. Ding, C., & Knaap, G. (2003). Property values in inner-city neighborhoods: the effects of homeownership, housing investment, and economic development. Housing Policy Debate, 13(4), 701–727. Dunning, H., Williams, A., Abonyi, S., & Crooks, V. (2008). A mixed method approach to quality of life research: a case study approach. Social Indicators Research, 85(1), 145–158. Galster, G. C., Cutsinger, J. M., & Malega, R. (2006). The social costs of concentrated poverty: externalities to neighboring households and property owners and the dynamics of decline. National Poverty Center Working Paper Series 6–42. Garnett, N. S. (2010). Ordering the city: Land use, politicing, and the restoration of urban America. New Haven: Yale University Press. Glaeser, E. L., & Gyourko, J. (2005). Urban decline and durable housing. Journal of Political Economy, 113(2), 345–375. Greenberg, M. R. (1999). Improving neighborhood quality: a hierarchy of needs. Housing Policy Debate, 10(3), 601–624. Grigsby, W. G., Baratz, M., & Maclellan, D. (1987). The dynamics of neighborhood change and decline. Oxford: Pergamon. Harcourt, B. E. (1998). Reflecting on the subject: a critique of the social influence conception of deterrence, the broken windows theory, and order-maintenance policing New York style. Michigan Law Review, 97(2), 291–389. Harcourt, B. E. (2001). Illusion of order: The false promise of broken windows policing. Cambridge: Harvard University Press. Hardin, G. (1968). The tragedy of the commons. Journal of Natural Resources Policy Research, 1(3), 243–253. Hodgson, G. M., & Knudsen, T. (2010). Darwin’s conjecture: The search for general principles of social & economic evolution. Chicago: The University of Chicago Press. Imai, K., King, G. & Lau, O. (2013a). Zelig: everyone’s statistical software. Retrieved 23 May 2013 from http://projects.iq.harvard.edu/zelig/documentation Imai, K., King, G., & Lau, O. (2013b). Relogit: Rare events logistic regression for dichotomous dependent variables. In K. Imai, G. King, & O. Lau Zelig: Everyone’s statistical software. Retrieved 23 May 2013 from http://gking.harvard.edu/zelig c Keizer, K., Lindenberg, S., & Steg, L. (2008). The spreading of disorder. Science, 332, 1681–5. King, G. (1998). Unifying political methodology. Ann Arbor: University of Michigan Press. King, G., & Zeng, L. (2001). Logistic regression in rare events data. Political Analysis, 9(2), 137–163. King, G., Tomz, M., & Wittenberg, J. (2000). Making the most of statistical analyses: improving interpretation and presentation. American Journal of Political Science, 44(2), 347–363. Knox, P., & Pinch, S. (2010). Urban social geography, 6/e. London: Prentice Hall. Krumm, R., & Vaughan, R. J. (1976). The economics of urban blight. Washington, DC: RAND. Lewontin, R. (1970). The units of selection. Annual Review of Ecology & Systematics, 1, 1–18. Lloyd, E., Wilson, D. S., & Sober, E. (2011). Evolutionary mismatch and what to do about it: A basic tutorial. Wesley Chapel: The Evolution Institute. Megbolugbe, I. F., Hoek-Smit, M. C., & Linneman, P. D. (1996). Understanding neighborhood dynamics: a review of the contributions of William G. Grigsby. Urban Studies, 33(10), 1779–1795. Nowak, M. A. (2006). Evolutionary dynamics: Exploring the equations of life. Cambridge: Harvard University Press. Okasha, S. (2006). Evolution and the levels of selection. Oxford: Clarendon. O’Brien, D. T. (2012). Managing the urban commons: the relative influence of individual and social incentives on the treatment of public space. Human Nature, 23, 467–489. O’Brien, D. T. (2013). Custodians and custodianship in urban neighborhoods: a methodology using reports of public issues received by a city’s 311 hotline. Environment and Behavior. doi:10.1177/0013916513499585. Pacione, M. (2003). Quality-of-life research in urban geography. Urban Geography, 24, 314–339. Pitkin, W. (2001). Theories of neighborhood change: Implications for community development policy and practice. Los Angeles: UCLA Advanced Policy Institute. Ross, C. E., & Mirowsky, J. (1999). Disorder and decay: the concept and measurement of perceived neighborhood disorder. Urban Affairs Review, 34, 412–432. Sampson, R. J., & Raudenbush, S. W. (2004). Seeing disorder: neighborhood stigma and the social construction of “broken windows.”. Social Psychology Quarterly, 67(4), 319–342. Seo, W., & von Rabenau, B. (2011). Spatial impacts of microneighborhood physical disorder on property resale values in Columbus, Ohio. Journal of Urban Planning and Development, 137, 337–345. Shlay, A., & Whitman, G. (2006). Research for democracy: linking community organizing and research to leverage blight policy. City & Community, 5(2), 153–171. Skogan, W. (1986). Fear of crime and neighborhood change. Crime and Justice, 8, 203–229. Talen, E., & Shah, S. (2007). Neighborhood evaluation using GIS: an exploratory study. Environment and Behavior, 39, 583–615. Vitale, A. S. (2008). City of disorder: How the quality of life campaign transformed New York politics. New York: New York University Press. Wagenaar, H. (2007). Governance, complexity, and democratic participation: how citizens and public officials harness the complexities of neighborhood decline. The American Review of Public Administration, 37(1), 17–50. Weaver, R. C. (2013). Re-framing the urban blight problem with trans-disciplinary insights from ecological economics. Ecological Economics, 90, 168–176. Weaver, R. C., & Bagchi-Sen, S. (2013). Spatial analysis of urban decline: the geography of blight. Applied Geography, 40, 61–70. Weaver, R. C., & Bagchi-Sen, S. (2014). Evolutionary analysis of neighbourhood decline using multilevel selection theory. The Annals of the Association of American Geographers. doi:10.1080/00045608.2014.910088. Weaver, RC (2014). Urban geography evolving: toward an evolutionary urban geography. Quaestiones Geographicae Wilson, D. S. (2004). What is wrong with absolute individual fitness? Trends in Ecology and Evolution, 19(5), 245–248. Wilson, D. S. (2007). Evolution for everyone: How Darwin’s theory can change the way we think about our lives. New York: Delta. Wilson, D. S. (2011). The neighborhood project: Using evolution to improve my city, one block at a time. New York: Little, Brown and Company. Wilson, D. S., & Gowdy, J. M. (2013). Evolution as a general theoretical framework for economics and public policy. Journal of Economic Behavior and Organization, 90S, 3–10. Wilson, D. S., & O’Brien, D. T. (2009). Evolutionary theory and cooperation in everyday life. In S. Levin (Ed.), Games, groups, and the global good (pp. 155–168). New York: Springer. Wilson, D. S., & Wilson, E. O. (2007). Rethinking the theoretical foundation of sociobiology. The Quarterly Review of Biology, 82(4), 327–348. Wilson, JQ, Kelling, GL (1982). Broken windows. Atlantic Monthly. March, 29–38. Wilson, D. S., Ostrom, E., & Cox, M. E. (2013). Generalizing the core design principles for the efficacy of groups. Journal of Economic Behavior and Organization, 90S, 21–32. Wilson, D. S., O’Brien, D. T., & Sesma, A. (2009). Human prosociality from an evolutionary perspective: variation and correlations at a city-wide scale. Evolution and Human Behavior, 30, 190–200.