Linking urban sprawl and income segregation – Findings from a stylized agent-based model

Abstract

Urban sprawl and income segregation are two undesired urban patterns that occur during urban development. Empirical studies show that income level and inequality are positively correlated with urban sprawl and income segregation, respectively. However, the relationship between urban sprawl and income segregation is not only rarely investigated but also shows ambiguous empirical results when it is. Therefore, in this study, we built a stylized agent-based model with individual behaviours based on Alonso’s bid rent theory and ran simulations with different combinations of income level and income inequality. We measured the overall emergent patterns with indicators for urban sprawl and income segregation. The model confirms the established positive correlations between income level and urban sprawl and between income inequality and segregation. Furthermore, the model shows a negative correlation between urban sprawl and income segregation under free market conditions. The model indicates that without any policy implementation, a city will either suffer from urban sprawl or income segregation. Thus, this study serves as a starting point to study the effects of different urban planning policies on these two urban problems.

Keywords

Agent-based modelling income segregation urban sprawl

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References

Alonso

(1964) Location and Land Use: Toward a General Theory of Land Rent, Cambridge, MA: Harvard University Press.

Benenson

Hatna

(2011) Minority–majority relations in the schelling model of residential dynamics. Geographical Analysis 43(3): 287–305.

Bhatta

Saraswati

Bandyopadhyay

(2010) Urban sprawl measurement from remote sensing data. Applied Geography 30(4): 731–740.

Bischoff K and Reardon SF (2013) Residential Segregation by Income, 1970–2009. Available at: https://s4.ad.brown.edu/Projects/Diversity/Data/Report/report10162013.pdf (accessed 26 June 2017).

Brown

Moore

(1970) The intra-urban migration process: A perspective. Geografiska Annaler. Series B, Human Geography 52(1): 1–13.

Brueckner

Fansler

(1983) The economics of urban sprawl: Theory and evidence on the spatial sizes of cities. The Review of Economics and Statistics 65(3): 479.

Clark

(1951) Urban population densities. Journal of the Royal Statistical Society. Series A (General) 114(4): 490–496.

Crooks

(2010) Constructing and implementing an agent-based model of residential segregation through vector GIS. International Journal of Geographical Information Science 24(5): 661–675.

Dieleman

Wegener

(2004) Compact city and urban sprawl. Built Environment 30(4): 308–323.

10.

Edmonds

Moss

(2005) From KISS to KIDS – An ‘Anti-simplistic’ modelling approach. In: Davidsson

Logan

Takadama

(eds) Multi-Agent and Multi-Agent-Based Simulation. Lecture Notes in Computer Science, Berlin, Germany: Springer-Verlag, pp. 130–144.

11.

Ewing

Pendall

Chen

(2002) Measuring Sprawl and its Impact, Washington, DC: Smart Growth America.

12.

Filatova

Parker

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 12(1): 3.

13.

Frenkel

Ashkenazi

(2007) The integrated sprawl index: Measuring the urban landscape in Israel. The Annals of Regional Science 42(1): 99–121.

14.

Fujita

(1989) Urban Economic Theory: Land Use and City Size, Cambridge, UK: Cambridge University Press.

15.

Gilbert N (2004) Agent-Based Social Simulation: Dealing with Complexity. Available at: https://9f0cd0d1-a-62cb3a1a-s-sites.googlegroups.com/site/statsocsite/files-for-modeling/ABSS-dealingwithcomplexity-1-1.pdf (accessed 26 June 2017).

16.

Glaeser

Kahn

(2003) Sprawl and urban growth. Handbook of Regional and Urban Economics. In: Henderson

Thisse

(eds) Handbook of Regional and Urban Economics Vol 4, Amsterdam, the Netherlands: Elsevier, pp. 2481–2527.

17.

Grimm

Revilla

Berger

et al. (2005) Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science 310(5750): 987–991.

18.

Grimm

Berger

DeAngelis

et al. (2010) The ODD protocol: a review and first update. Ecological Modelling 221: 2760–2768.

19.

Guo

Schwarz

Buchmann

(2018) Exploring the added value of population distribution indicators for studies of European urban form. Applied Spatial Analysis and Policy. 11(3): 439–463.

20.

Huang

Parker

Filatova

et al. (2014) A review of urban residential choice models using agent-based modeling. Environment and Planning B: Planning and Design 40: 1–29.

21.

Huang

Parker

Sun

et al. (2013) Effects of agent heterogeneity in the presence of a land-market: A systematic test in an agent-based laboratory. Computers Environment and Urban Systems 41: 188–203.

22.

Jargowsky

(1996) Take the money and run: Economic segregation in U.S. metropolitan areas. American Sociological Review 61(6): 984–998.

23.

Jargowsky

(2002) Sprawl, concentration of poverty, and urban inequality. In: Squires

(ed.) Urban Sprawl: Causes, Consequences And Policy Responses, Washington, DC: Urban Institute, pp. 39–71.

24.

Joshi

Guhathakurta

Konjevod

et al. (2006) Simulating the effect of light rail on urban growth in Phoenix: An application of the UrbanSim modeling environment. Journal of Urban Technology 13(2): 91–111.

25.

Kim

Batty

(2011) Modeling Urban Growth: An Agent Based Microeconomic Approach to Urban Dynamics and Spatial Policy Simulation. Working paper, University College London, UK, May.

26.

Lemoy

Raux

Jensen

. Polycentric city and multi-worker households: An agent-based microeconomic model. Available at: https://hal.archives-ouvertes.fr/hal-00602087v3 (accessed 26 June 2017).

27.

McDonald

(1984) Some generalized functions for the size distribution of income. Econometrica: Journal of the Econometric Society 52: 647–663.

28.

Margo

(1992) Explaining the postwar suburbanization of population in the United States: The role of income. Journal of Urban Economics 31(3): 301–310.

29.

Mills

(1972) Studies in the Structure of the Urban Economy, Baltimore, US: Johns Hopkins Press.

30.

Mills

Tan

(1980) A comparison of urban population density functions in developed and developing countries. Urban Studies 17(3): 313–321.

31.

Muth

(1969) Cities and Housing: The Spatial Pattern of Urban Residential Land Use, Chicago, US: University of Chicago Press.

32.

Parker

Filatova

(2008) A conceptual design for a bilateral agent-based land market with heterogeneous economic agents. Computers, Environment and Urban Systems 32(6): 454–463.

33.

Pendall

Carruthers

(2003) Does density exacerbate income segregation? Evidence from U.S. metropolitan areas, 1980 to 2000. Housing Policy Debate 14(4): 541–589.

34.

Reardon

Bischoff

(2011) Income inequality and income segregation. American Journal of Sociology 116(4): 1092–1153.

35.

Scarpa

(2014) The impact of income inequality on economic residential segregation: The case of Malmo, 1991–2010. Urban Studies 52(5): 906–922.

36.

Schönwandt

Voermanek

Utz

et al. (2013) Solving Complex Problems: A Handbook, Berlin: Jovis.

37.

Spielman

Harrison

(2014) The co-evolution of residential segregation and the built environment at the turn of the 20th century: A schelling model. Transactions in GIS 18(1): 25–45.

38.

Sun

Parker

Huang

et al. (2014) Market impacts on land-use change: An agent-based experiment. Annals of the Association of American Geographers 104(3): 460–484.

39.

Thurow

(1970) Analyzing the American income distribution. The American Economic Review 60(2): 261–269.

40.

Tiebout

(1956) A pure theory of local expenditures. Journal of Political Economy 64(5): 416–424.

41.

Torrens

(2007) A geographic automata model of residential mobility. Environment and Planning B: Planning and Design 34(2): 200–222.

42.

Torrens

(2008) A toolkit for measuring sprawl. Applied Spatial Analysis and Policy 1(1): 5–36.

43.

United Nations (2014) World Urbanization Prospects: The 2014 Revision, New York: United Nations.

44.

Watson

(2009) Inequality and the measurement of residential segregation by income in American neighborhoods. Review of Income and Wealth 55(3): 820–844.

45.

Wheeler CH (2006) Urban decentralization and income inequality: Is sprawl associated with rising income segregation across neighborhoods?. FRB of St. Louis Working Paper No. 2006-037A. Available at: http://dx.doi.org/10.2139/ssrn.904384 (accessed 26 June 2017).

46.

Yin

Muller

(2008) Urbanization and resort regions: Creating an agent-based simulation of housing density in ‘Ski Country’. Journal of Urban Technology 15(2): 55–75.

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