1. bookVolume 15 (2021): Edizione 1 (June 2021)
Dettagli della rivista
Prima pubblicazione
26 Jun 2014
Frequenza di pubblicazione
2 volte all'anno
access type Accesso libero

Mapping the morphology of sprawl and blight: A note on entropy

Pubblicato online: 03 Jul 2021
Volume & Edizione: Volume 15 (2021) - Edizione 1 (June 2021)
Pagine: 1 - 18
Ricevuto: 07 Nov 2020
Accettato: 22 Apr 2021
Dettagli della rivista
Prima pubblicazione
26 Jun 2014
Frequenza di pubblicazione
2 volte all'anno

The urban expansion from the city center to the suburb and beyond is indicated by Shannon entropy, a robust and versatile measure of sprawl. However, the metropolitan regionwide entropy masks the morphology of land cover and land use consequential to urban expansion within the city-region. To surmount the limitation, we focus on the block-group, which is a US census defined socio-spatial unit that identifies the metropolitan region’s development pattern structurally, forming tracts that comprise neighborhoods. The concentration and dispersion of land use and land cover by block-group reveals a North American metropolitan region’s commonly known but rarely measured spatial structure of its urban and suburban sprawl. We use parcel data from county assessor of property (GIS) and land cover pixel data from the National Land Cover Data (NLCD) to compute block-group land-use and land-cover entropy. The change in block group entropy over a decade indicates whether the city- region’s land use and land cover transition to a concentrated or dispersed pattern. Furthermore, we test a hypothesis that blight correlates with sprawl. Blight and sprawl are among the key factors that plague the metropolitan region. We determine the correlations with household income as well as (block group) distance from the city center. It turns out, blight is among the universally held distance-decay phenomena. The share of the block group’s blighted properties decays (nonlinearly) with distance from the city center.

Highlights for public administration, management and planning:

• The metropolitan region’s outward growth is highlighted by mapping the changing morphology of the block group within the city-region.

• The block group entropy is computed with land use (parcel) and land cover (pixel) data.

• The block group entropy change indicates the pattern of the land use and land cover transition with concentration or dispersion.

• We test the hypothesis that blight correlates with sprawl with statistical models.

• The block group’s blighted properties decrease (nonlinearly) with distance from the city center.


Babcock H (2008) The National Environmental Policy Act in the urban environment: Oxymoron or a useful tool to combat the destruction of neighborhoods and urban sprawl? Journal of Environmental Law & Litigation 23(1): 1–33. Search in Google Scholar

Banai R, DePriest T (2014) Urban sprawl: Definitions, data, methods of measurement, and environmental consequences. Journal of Sustainability Education 7: 12. Search in Google Scholar

Barker LE, Shaw KM (2015) Best (but oft-forgotten) practices: checking assumptions concerning regression residuals. The American Journal of Clinical Nutrition, 102(3): 533–539. Search in Google Scholar

Batty M (1972) Entropy and spatial geometry. Area 4: 230–236. Search in Google Scholar

Baum-Snow N (2007). Did highways cause suburbanization? The Quarterly Journal of Economics 122(2): 775–805.10.1162/qjec.122.2.775 Search in Google Scholar

Bhatta B, Saraswati S, Bandyopadhyay D (2010) Urban sprawl measurement from remote sensing data Applied Geography 30: 731–740.10.1016/j.apgeog.2010.02.002 Search in Google Scholar

Bereitschaft B, Debbage K (2014) Regional variations in urban fragmentation among U.S. metropolitan and megapolitan areas. Applied Spatial Analysis and Policy 7(2): 119–147. Search in Google Scholar

Bertaud A (2004) The spatial organization of cities: Deliberate outcome or unforeseen consequence. World Development Report. The World Bank, Washington D.C. Search in Google Scholar

Bluff City Snapshot survey (2016). The Department of Neighborhood Improvement, Division of Public Works, City of Memphis, TN, 2016. (Bluff City Snapshot conducted a twelve-week parcel survey in the last months of 2015, assessing the condition of land including industrial, residential and vacant lots). Search in Google Scholar

Bourne L (2001) The urban sprawl debate: Myths, realities and hidden agendas. Plan Canada, 41(4), 26–30. Search in Google Scholar

Brueckner JK, Helsley RW (2011) Sprawl and blight. Journal of Urban Economics 69(2): 205−213. Search in Google Scholar

Burgess EW (1925) The growth of the city. In: Park RE, Burgess EW, McKenzie RD (eds) The city. University of Chicago Press, Chicago. Search in Google Scholar

Calthorpe P (1993) The next American metropolis ecology, community, and the American dream. Princeton Architectural Press, New York. Available at: <https://www.scirp.org/(S(i43dyn45te-exjx455qlt3d2q))/reference/ReferencesPapers.aspx?ReferenceID=1570938> Search in Google Scholar

Calthorpe P, Fulton W (2001) The regional city: Planning for the end of sprawl. Island Press, Washington, D.C. Search in Google Scholar

Ciscel DH (2000) Urban sprawl, urban promise, A case study of Memphis, Tennessee. Search in Google Scholar

Ciscel DH (2001) The economics of urban sprawl: Inefficiency as a core feature of metropolitan growth. Journal of Economic Issues 35(2): 405–413.10.1080/00213624.2001.11506374 Search in Google Scholar

Clark TA (2013) Metropolitan density, energy efficiency and carbon emissions: Multi-attribute tradeoffs and their policy implications. Energy Policy 53: 413–428.10.1016/j.enpol.2012.11.006 Search in Google Scholar

Das S, Angadi DP (2020) Assessment of urban sprawl using landscape metrics and Shannon’s entropy model approach in town level of Barrackpore sub-divisional region, India. Modeling Earth Systems and Environment 7: 1071–1095.10.1007/s40808-020-00990-9 Search in Google Scholar

Duany A, Plater-Zyberk E, Speck J (2000). Suburban nation – The rise of sprawl and the decline of the American dream. North Point Press, New York. Search in Google Scholar

Duncan DT, Tamura K, Regan SD, Athens J, Elbel B, Meline J, Chaix B (2017) Quantifying spatial misclassification in exposure to noise complaints among low-Income housing residents across New York city neighborhoods: A Global Positioning System (GPS) study. Annals of Epidemiology 27(1): 67–75.10.1016/j.annepidem.2016.09.017527279828063754 Search in Google Scholar

Effat HA, El Shobaky, MA (2015) Modeling and mapping of urban sprawl pattern in Cairo using multi-temporal Landsat images, and Shannon’s Entropy. Advances in Remote Sensing 4: 303–31810.4236/ars.2015.44025 Search in Google Scholar

Ewing R, Pendall R, Chen D (2003) Measuring sprawl and its transportation impacts. Transportation Research Record 1831: 175−183.10.3141/1831-20 Search in Google Scholar

Ewing R, Hamidi S (2014) Smart growth America: Measuring sprawl 2014. Available at: <http://gis.cancer.gov/tools/urban-sprawl> (accessed April 25, 2014) Search in Google Scholar

Field AP (2009) Discovering statistics using SPSS: and sex and drugs and rock ‘n’ roll (3rd edition). Sage, London. Search in Google Scholar

Goodman AC (1977) A Comparison of block group and census tract data in a hedonic housing price model. Land Economics 53(4): 483–487.10.2307/3145991 Search in Google Scholar

Hasse J, Lathrop R (2003) Land resource impact indicators of urban sprawl. Applied Geography 23: 159−175.10.1016/j.apgeog.2003.08.002 Search in Google Scholar

Gouda AA, Hosseini M, Masoumi HE (2016) The status of urban and suburban sprawl in Egypt and Iran. GeoScape 10(1): 1–15.10.1515/geosc-2016-0001 Search in Google Scholar

Hecht R, Herold H, Behnisch M, Jehling M (2019) Mapping long-term dynamics of population and dwellings based on a multi-temporal analysis of urban morphologies. International Joural of Geo-Information 8: 2.10.3390/ijgi8010002 Search in Google Scholar

Hoyt H (1939) The structure and growth of residential neighborhoods in American cities. Federal Housing Administration, Washington, D.C. Search in Google Scholar

Jargowsky PA (2011) Urban poverty, economic segregation, and urban policy. In: Brooks N, Donaghy K, Knaap G (eds) Oxford handbook of urban economics and planning. Oxford University Press, New York.10.1093/oxfordhb/9780195380620.013.0014 Search in Google Scholar

Galster G et al. (2000) Wrestling sprawl to the ground: Defining and measuring an elusive concept. Housing Policy Debate 12 (4): 681–717 Search in Google Scholar

Hortas-Rico M (2015) Sprawl, blight and the role of urban containment policies: Evidence from US Cities. SSRN Electronic Journal 55(2): 298–323.10.1111/jors.12145 Search in Google Scholar

Iceland J, Steinmetz E (2003) The effects of using census block groups instead of census tracts when examining residential housing patterns. U.S. Census Bureau Working Paper. Available at: <https://www.census.gov/hhes/www/housing/resseg/pdf/unit_of_analysis.pdf> Search in Google Scholar

Katz P ed. (1994) The new urbanism: toward an architecture of community. McGraw-Hill, New York. Search in Google Scholar

Kelly E (2010) Community planning. Island Press, Washington. Search in Google Scholar

Laidley T (2016) Measuring sprawl: A new index, recent trends, and future research. Urban Affairs Review 52(1): 66–97.10.1177/1078087414568812 Search in Google Scholar

Liu L, Peng Z, Wu H, Jiao H, Yu Y, Zhao J (2018) Fast identification of urban sprawl based on K-means clustering with population density and local spatial entropy. Sustainability 10(8).10.3390/su10082683 Search in Google Scholar

Lopez R, Hynes HP (2003) Sprawl in the 1990s: Measurement, distribution, and trends. Urban Affairs Review 38(3): 325–355.10.1177/1078087402238805157039916990927 Search in Google Scholar

Lopez R (2014) Urban sprawl in the United States: 1970-2010. Cities and the Environment (CATE), 7(1). Available at: <https://digitalcommons.lmu.edu/cate/vol7/iss1/7> Search in Google Scholar

Masek JG, Lindsay FE, Goward SN (2000) Dynamics of urban growth in the Washington DC metropolitan area, 1973−1996, from Landsat observations. International Journal of Remote Sensing, 21(18): 3473–3486.10.1080/014311600750037507 Search in Google Scholar

Mock B (2017) The meaning of blight. CITYLAB. Available at: <https://www.bloomberg.com/news/articles/2017-02-16/why-we-talk-about-urban-blight> Search in Google Scholar

Morris, E. K., Caruso T., Buscot F. (2014) Choosing and using diversity indices: insights for ecological applications from the German Biodiversity Exploratories. Ecology and Evolution 4,18: 3514–3524.10.1002/ece3.1155422452725478144 Search in Google Scholar

Musakwa W. and A. van Nieker.(2014) Monitoring urban sprawl and sustainable urban development Using the Moran Index: A case study of Stellenbosch, South Africa. International Journal of Applied Geospatial Research, 5(3), 1–20.10.4018/ijagr.2014070101 Search in Google Scholar

Multi-Resolution Land Characteristics Consortium (MRLC), for land cover classification. Available at: <https://www.mrlc.gov> Search in Google Scholar

Nasser H, Overberg P (2001) What you don’t know about sprawl. Controlling development a big concern, but analysis has unexpected findings. USA Today, 1a. Search in Google Scholar

National Land Cover Data (NLCD) Available at: <http://www.mrlc.gov> Search in Google Scholar

Nazarnia N, Harding C, Jaeger JA (2019) How suitable is entropy as a measure of urban sprawl? Landscape and Urban Planning 184: 32–43.10.1016/j.landurbplan.2018.09.025 Search in Google Scholar

Openshaw S (1984) The modifiable areal unit problem. CATMOG 38. GeoBooks, Norwich. Search in Google Scholar

Papas MA, Alberg AJ, Ewing R, Helzlsour KJ, Gary TL, Klassen AC (2007) The built environment and obesity: a review of the evidence. Epidemiologic Reviews, 29(1): 129–143.10.1093/epirev/mxm00917533172 Search in Google Scholar

Park, RE, Burgess EW, McKenzie RD eds. (1925) The city: Suggestions for investigation of human behavior in the Urban Environment. University of Chicago Press, Chicago. Search in Google Scholar

Perry CA (1929) The neighborhood unit: a scheme of arrangement for the family-life community. Regional study of New York and its environs, VII, Neighborhood and Community Planning, Monograph One 2–140. Regional Plan of New York and its Environs, New York. Search in Google Scholar

Plexida S, Sfougaris A, Papadopoulos N (2012) Quantifying beetle and bird diversity in a Mediterranean mountain agro-ecosystem. Israel Journal of Ecology and Evolution 58(1): 1–25.10.1560/IJEE.58.1.1 Search in Google Scholar

Ragusett JM (2016) Black residential segregation in the era of urban sprawl. The Review of Black Political Economy 43(3–4): 253–272.10.1007/s12114-015-9220-7 Search in Google Scholar

Rahman MT (2016a) Detection of land use/land cover changes and urban sprawl in Al‐Khobar, Saudi Arabia: An analysis of multi‐temporal remote sensing data. International Journal of Geo-Information 5(2): 15.10.3390/ijgi5020015 Search in Google Scholar

Rahman MT (2016b) Land use and land cover changes and Yrban Sprawl in Riadh, Saudi Arabia: An analysis using multi-temporal Landsat data and Shannon’s Entropy index. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLI-B8, XXIII ISPRS Congress, 12–19 July 2016, pp. 1017–1021.10.5194/isprsarchives-XLI-B8-1017-2016 Search in Google Scholar

Ross CL, Leigh NG (2000) Planning urban revitalization and inner city: An exploration of structural racism. Journal of Planning Literature 14(3): 367–380. Search in Google Scholar

Roth DS, Perfecto I, Rathcke B (1994) The effects of management systems on ground-foraging ant diversity in Costa Rica Author. Ecological Applications 4(3): 423–436.10.2307/1941947 Search in Google Scholar

Salvati L, Carducci M (2014) Urban growth and land-use structure in two Mediterranean Regions: An exploratory spatial data analysis. Sage Open 4(4).10.1177/2158244014561199 Search in Google Scholar

Tewolde MG, Cabral P (2011) Urban sprawl analysis and modeling in Asmara, Eritrea. Remote Sensing 3: 2148−2165. Search in Google Scholar

Theil H (1967) Economics and information theory, North-Holland, Amsterdam. Search in Google Scholar

Thomas RW (1981) Information statistics in Geography. GeoAbstracts, University of East Anglia, Norwich. Search in Google Scholar

Tuomisto H (2010) A consistent terminology for quantifying species diversity. Oecologia 164: 853–860.10.1007/s00442-010-1812-020978798 Search in Google Scholar

vom Hofe R, Parent O, Grabill M (2019) What to do with vacant and abandoned residential structures? The effects of teardowns and rehabilitations on nearby properties, Journal of Regional Science 59: 228–249.10.1111/jors.12413 Search in Google Scholar

Yeh A, Lee X (2001) Measurement and monitoring urban sprawl in a rapidly growing region using entropy. Photogrammetric Engineering and Remote Sensing 67: 83–89. Search in Google Scholar

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