Abstract
The literature on urban growth and sprawl is bigger than the scope of this chapter. Application of remote sensing and GIS in the study of urban growth/sprawl is also extensive in terms of their variations. A general research review cannot embrace the totality. However, in this chapter, efforts have been made to briefly document the important aspects that mainly focus on urban growth and sprawl, their patterns and processes, and measurement/analysis. It has been found that sprawl as a concept suffers from difficulties in definition. As a result, quantification of this phenomenon is rather complicated and sometimes confusing, especially if we use remote sensing data. There are dozens of metrics that are practiced by the urban planners and administrators in their cities, especially in developed countries. Merits and demerits of these measurements/analytical techniques have also been addressed briefly. It also documents similar studies in India, and proceeds toward the proposed research by documenting the scope of research.
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- 1.
Spatial frequency denotes the rate of changes in land-use/land-cover classes with the change of space.
References
Acioly CC, Davidson F (1996) Density in urban development. Building Issues 8(3):3–25
Alberti M, Waddell P (2000) An integrated urban development and ecological simulation model. Integr Assess 1:215–227
Almeida CM, Monteiro AMV, Mara G, Soares-Filho BS, Cerqueira GC, Pennachin CSL, Batty M (2005) GIS and remote sensing as tools for the simulation of urban land-use change. Int J Remote Sens 26(4):759–774
Angel S, Sheppard SC, Civco DL (2005) The dynamics of global urban expansion. Transport and Urban Development Department, The World Bank, Washington, DC, p 200. http://www.citiesalliance.org/doc/resources/upgrading/urbanexpansion/worldbankreportsept2005.pdf
Angel S, Parent J, Civco D (2007) Urban sprawl metrics: an analysis of global urban expansion using GIS. Proceedings of ASPRS 2007 annual conference, Tampa, 7–11 May. http://clear.uconn.edu/publications/research/tech_papers/Angel_et_al_ASPRS2007.pdf
Armhein C (1995) Searching for the elusive aggregation effect: evidence from statistical simulations. Environ Plan A 27(1):105–119
Audirac I, Shermyen AH, Smith MT (1990) Ideal urban form and visions of the good life: Florida’s growth management dilemma. J Am Plan Assoc 56(4):470–482
Axtell RL, Epstein JM (1994) Agent-based modeling: understanding our creations. The Bulletin of the Santa Fe Institute. Winter 28–32
Bae CHC, Richardson HW (1994) Automobiles, the environment and metropolitan spatial structure. Lincoln Institute of Land Policy, Cambridge
Banister D, Watson S, Wood C (1997) Sustainable cities: transport, energy, and urban form. Environ Plan B 24:125–143
Barnes KB, Morgan JM III, Roberge MC, Lowe S (2001) Sprawl development: its patterns, consequences, and measurement. A white paper, Towson University. http://chesapeake.towson.edu/landscape/urbansprawl/download/Sprawl_white_paper.pdf
Batty M (1976) Entropy in spatial aggregation. Geogr Anal 8:l–21
Batty M, Howes D (2001) Predicting temporal patterns in urban development from remote imagery. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis. Taylor and Francis, London, pp 185–204
Benfield FK, Raimi M, Chen D (1999) Once there were greenfields: how urban sprawl is undermining America’s environment. Economy and Social Fabric, The Natural Resources Defense Council, Washington, DC
Bhatta B (2010) Analysis of urban growth and sprawl from remote sensing data. Springer, Heidelberg, p 172
Bhatta B, Saraswati S, Bandyopadhyay D (2010a) Urban sprawl measurement from remote sensing data. Appl Geogr 30(4):731–740
Bhatta B, Saraswati S, Bandyopadhyay D (2010b) Quantifying the degree-of-freedom, degree-of-sprawl, and degree-of-goodness of urban growth from remote sensing data. Appl Geogr 30(1):96–111
Burchell RW, Shad NA, Lisotkin D, Phillips H, Downs A, Seskin S et al (1998) The costs of sprawl revisited. National Academy Press, Washington, DC
Calthorpe P, Fulton W, Fishman R (2001) The regional city: planning for the end of sprawl. Island Press, Washington, DC
Clapham WB Jr (2003) Continuum-based classification of remotely sensed imagery to describe urban sprawl on the watershed scale. Remote Sens Environ 86:322–340
Donnay JP, Barnsley MJ, Longley PA (2001) Remote sensing and urban analysis. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis. Taylor & Francis, London, pp 3–18
Du Y, Guindon B, Cihlar J (2002) Haze detection and removal in high resolution satellite images with wavelet analysis. IEEE Trans Geosci Remote Sens 40:210–217
Duany A, Plater-Zyberk E, Speck J (2001) Suburban nation: the rise of sprawl and the decline of the American dream. North Point Press, New York
EEA (European Environment Agency) (2002) Towards an urban atlas: assessment of spatial data on 25 European cities and urban areas. EEA, Copenhagen
El Nasser H, Overberg P (2001) A comprehensive look at sprawl in America. McLean, Virginia. USA Today, February 22
Ewing R (1994) Characteristics, causes, and effects of sprawl: a literature review. Environ Urban Stud 21(2):1–15
Ewing R (1997) Is Los Angeles-style sprawl desirable? J Am Plan Assoc 63(1):107–126
Ewing R, Pendall R, Chen DDT (2002) Measuring sprawl and its impact. Smart Growth America, Washington, DC
Farley R, Frey WH (1994) Changes in the segregation of whites from blacks in the 1980 s: small steps toward a more integrated society. Am Sociol Rev 59:23–45
Farooq S, Ahmad S (2008) Urban sprawl development around Aligarh city: a study aided by satellite remote sensing and GIS. J Indian Soc Remote Sens 36:77–88
Fulton W, Pendall R, Nguyen M, Harrison A (2001) Who sprawls the most? how growth patterns differ across the US. The Brookings Institution Center on Urban and Metropolitan Policy, Washington, DC
Galster G (1991) Black suburbanization: has it changed the relative location of the races? Urban Aff Q 26:621–628
Galster G, Hanson R, Wolman H et al (2000) Wrestling sprawl to the ground: defining and measuring an elusive concept. Working paper of Fannie Mae, pp 1–38
Galster G, Hanson R, Wolman H, Coleman S, Freihage J (2001) Wrestling sprawl to the ground: defining and measuring an elusive concept. Hous Policy Debate 12(4):681–717
Geoghegan J, Wainger LA, Bockstael NE (1997) Spatial landscape indices in a hedonic framework: an ecological economics analysis using GIS. Ecol Econ 23(3):251–264
Geymen A, Baz I (2008) Monitoring urban growth and detecting land-cover changes on the Istanbul metropolitan area. Environ Monit Assess 136:449–459
Gordon P, Richardson HW (1997a) Are compact cities a desirable planning goal? J Am Plan Assoc 63(1):95–106
Gordon P, Richardson HW (1997b) Where’s the sprawl? J Am Plan Assoc 63(2):275–278
Gustafson EJ (1998) Quantifying landscape spatial pattern: what is the state of the art? Ecosystems 1:143–156
Hardin PJ, Jackson MW, Otterstrom SM (2007) Mapping, measuring, and modeling urban growth. In: Jensen RR, Gatrell JD, McLean D (eds) Geo-spatial technologies in urban environments, 2nd edn. Springer, Berlin, pp 141–176
Hargis CD, Bissonette JA, David JL (1998) The behavior of landscape metrics commonly used in the study of habitat fragmentation. Landsc Ecol 13:167–186
Harvey RO, Clark WAV (1965) The nature and economics of urban sprawl. Land Econ 41(1):1–9
Hasse J (2004) A geospatial approach to measuring new development tracts for characteristics of sprawl. Landsc J 23(1):52–67
Hasse J, Lathrop RG (2003a) A housing-unit-level approach to characterizing residential sprawl. Photogramm Eng Remote Sens 69(9):1021–1030
Hasse JE, Lathrop RG (2003b) Land resource impact indicators of urban sprawl. Appl Geogr 23:159–175
Hedblom M, Soderstrom B (2008) Woodlands across Swedish urban gradients: status, structure and management implications. Landsc Urban Plan 84:62–73
Herold M, Goldstein N, Clarke KC (2003) The spatio-temporal form of urban growth: measurement, analysis and modeling. Remote Sens Environ 86(3):286–302
Herold M, Roberts D, Gardner M, Dennison P (2004) Spectrometry for urban area remote sensing—development and analysis of a spectral library from 350 to 2400 nm. Remote Sens of Environ 91:304–319
Herold M, Couclelis H, Clarke KC (2005a) The role of spatial metrics in the analysis and modeling of urban change. Comput Environ Urban Syst 29(4):369–399
Herold M, Hemphill J, Dietzel C, Clarke KC (2005b) Remote sensing derived mapping to support urban growth theory. Proceedings of ISPRS, vol XXXVI-8/W27. http://www.isprs.org/proceedings/XXXVI/8-W27/herold_hemphill_etal.pdf
HUD (1999) The state of the cities. US Department of Housing and Urban Development, Washington, DC
Jat MK, Garg PK, Khare D (2008) Modeling urban growth using spatial analysis techniques: a case study of Ajmer city (India). Int J Remote Sens 29(2):543–567
Jensen JR (2005) Introductory digital image processing: a remote sensing perspective. Prentice-Hall, Upper Saddle River
Jensen JR, Cowen DC (1999) Remote sensing of urban/suburban infrastructure and socioeconomic attributes. Photogramm Eng Remote Sens 65(5):611–622
Jha R, Singh VP, Vatsa V (2008) Analysis of urban development of Haridwar, India, using entropy approach. KSCE J Civil Eng 12(4):281–288
Jiang F, Liu S, Yuan H, Zhang Q (2007) Measuring urban sprawl in Beijing with geo-spatial indices. J Geog Sci. doi:10.1007/s11442-007-0469-z
Johnson MP (2001) Environmental impacts of urban sprawl: a survey of the literature and proposed research agenda. Environ Plan A 33:717–735
Kline JD (2000) Comparing states with and without growth management analysis based on indicators with policy implications comment. Land Use Policy 17:349–355
Kumar JAV, Pathan SK, Bhanderi RJ (2007) Spatio-temporal analysis for monitoring urban growth—a case study of Indore city. J Indian Soc Remote Sens 35(1):11–20
Kundu A, Basu S (1999) Words and concepts in urban development and planning in India: an analysis in the context of regional variation and changing policy perspectives. MOST City Words Project, Working paper no 4, UNESCO. www.unesco.org
Lang RE (2003) Open spaces, bounded places: does the American West’s arid landscape yield dense metropolitan growth? Hous Policy Debate 13(4):755–778
Lata KM, Rao CHS, Prasad VK, Badarianth KVS, Rahgavasamy V (2001) Measuring urban sprawl: a case study of Hyderabad. GISdevelopment 5(12):26–29
Ledermann RC (1967) The city as a place to live. In: Gottmann J, Harpe RA (eds) Metropolis on the move: geographers look at urban sprawl. Wiley, New York
Lessinger J (1962) The cause for scatteration: some reflections on the National Capitol Region plan for the year 2000. J Am Inst Plan 28(3):159–170
Li X, Yeh AGO (2004) Analyzing spatial restructuring of landuse patterns in a fast growing region remote sensing and GIS. Landsc Urban Plan 69:335–354
Longley PA, Mesev V (2000) On the measurement and generalization of urban form. Environ Plan A 32:473–488
Longley PA, Barnsley MJ, Donnay JP (2001) Remote sensing and urban analysis: a research agenda. In: Donnay JP, Barnsley MJ, Longley PA (eds) Remote sensing and urban analysis. Taylor and Francis, London, pp 245–258
Malpezzi S (1999) Estimates of the measurement and determinants of urban sprawl in U.S. Metropolitan areas. Center for Urban Land Economics Research, University of Wisconsin, Madison
Martinuzzi S, Gould WA, Gonzalez OMR (2007) Land development, land use, and urban sprawl in Puerto Rico integrating remote sensing and population census data. Landsc Urban Plan 79:288–297
Masek JG, Lindsay FE, Goward SN (2000) Dynamics of urban growth in the Washington DC metropolitan area, 1973–1996, from Landsat observations. Int J Remote Sens 21:3473–3486
McGarigal K, Marks BJ (1995) FRAGSTATS: spatial pattern analysis program for quantifying landscape structure. USDA Forest Service General Technical Report PNW-351
McGarigal K, Cushman SA, Neel MC, Ene E (2002) FRAGSTATS: spatial pattern analysis program for categorical maps. www.umass.edu/landeco/research/fragstats/fragstats.html
NASA (2001) Satellite maps provide better urban sprawl insight. NASA News Release, 2 June 2001
Nelson AC (1999) Comparing states with and without growth management: analysis based on indicators with policy implications. Land Use Policy 16:121–127
O’Neill RV, Krummel JR, Gardner RH, Sugihara G, Jackson B, Deangelis DL, Milne BT, Turner MG, Zygmunt B, Christensen SW, Dale VH, Graham RL (1988) Indices of landscape pattern. Landsc Ecol 1:153–162
Openshaw S (1984) The modifiable areal unit problem. Geo Books, Norwich
Openshaw S (1991) A spatial analysis research agenda. In: Masser I, Blakemore M (eds) Handling geographical information: methodology and potential applications. Wiley, New York, pp 18–37
Openshaw S, Alvandies S (1999) Applying geocomputation to the analysis of spatial distributions. In: Longley P, Goodchild M, Maguire D, Rhind D (eds) Geograhpic information systems: principles and technical issues, vol 1, 2nd edn. Wiley, New York
OTA (1995) The technological reshaping of metropolitan America. DCUS Congress Office of Technology Assessment, Washington
Páez A, Scott DM (2004) Spatial statistics for urban analysis: a review of techniques with examples. GeoJournal 61(1):53–67
Paolini L, Grings F, Sobrino J, Jiménez Muñoz J, Karszenbaum H (2006) Radiometric correction effects in Landsat multi-date/multi-sensor change detection studies. Int J Remote Sens 27:685–704
Parker DC, Evans TP, Meretsky V (2001) Measuring emergent properties of agent-based landuse/landcover models using spatial metrics. Proceedings of 7th annual conference of the international society for computational economics. http://php.indiana.edu/~dawparke/parker.pdf
Parker DC, Manson SM, Janssen MA, Hoffmann MJ, Deadman P (2003) Multi-agent systems for the simulation of land-use and land-cover change: a review. Annu Assoc Amer Geograph 93(2):314–337
Peiser R (1989) Density and urban sprawl. Land Econ 65(3):193–204
Pendall R (1999) Do land-use controls cause sprawl? Environ Plan B 26(4):555–571
Prenzel B (2004) Remote sensing-based quantification of land-cover and land-use change for planning. Prog Plan 61:281–299
RERC (Real Estate Research Corporation) (1974) The costs of sprawl: environmental and economic costs of alternative residential patterns at the Urban Fringe. US Government Printing Office, Washington, DC
Richardson HW, Bae CC, Baxamusa MH (2000) Compact cities in developing countries: assessment and implications. In: Mike J, Burgess R (eds) Compact cities: sustainable urban forms for developing countries. Spon Press, London, pp 1–25
Riitters KH, O’Neill RV, Hunsaker CT, Wickham JD, Yankee DH, Timmins SP, Jones KB, Jackson BL (1995) A factor analysis of landscape pattern and structure metrics. Landsc Ecol 10(1):23–39
Roca J, Burnsa MC, Carreras JM (2004) Monitoring urban sprawl around Barcelona’s metropolitan area with the aid of satellite imagery. Proceedings of geo-imagery bridging continents, XXth ISPRS congress, 12–23 July, Istanbul, Turkey. http://www.isprs.org/publications/related/semana_geomatica05/front/abstracts/Dimecres9/T07.pdf
Sierra Club (1998) Sprawl: the dark side of the American dream. Research report. http://www.sierraclub.org/sprawl/report98/report.asp
Singh A (1989) Digital change detection techniques using remotely sensed data. Int J Remote Sens 10(6):989–1003
Smith DM (1975) Patterns in human geography. David & Charles, Newton Abbot, p 373
Sokhi BS, Sharma ND, Uttarwar PS (1989) Satellite remote sensing in urban sprawl mapping and monitoring: a case study of Delhi. J Indian Soc Remote Sens 17(3):57–69
Sudhira HS, Ramachandra TV (2007) Characterising urban sprawl from remote sensing data and using landscape metrics. Proceedings of 10th international conference on computers in urban planning and urban management, Iguassu Falls, 11–13 July. http://eprints.iisc.ernet.in/11834/
Sudhira HS, Ramachandra TV, Raj KS, Jagadish KS (2003) Urban growth analysis using spatial and temporal data. J Indian Soc Remote Sens 31(4):299–311
Sudhira HS, Ramachandra TV, Jagdish KS (2004) Urban sprawl: metrics, dynamics and modelling using GIS. Int J Appl Earth Obs Geoinf 5:29–39
Sutton PC (2003) A scale-adjusted measure of “urban sprawl” using nighttime satellite imagery. Remote Sens Environ 86:353–369
Taragi RCS, Pundir PPS (1997) Use of satellite data in urban sprawl and land use studies—a case of Lucknow city. J Indian Soc Remote Sens 25(2):113–118
Thakur B, Parai A (1993) A review of recent urban geographic studies in India. GeoJournal 29(2):187–196
The Brookings Institution (2002) The growth in the Heartland: challenges and opportunities for Missouri. The Brookings Institution Center on Urban and Metropolitan Policy, Washington, DC
Thomas RW (1981) Information statistics in geography, geo abstracts. University of East Anglia, Norwich, p 42
Torrens PM (2000) How cellular models of urban systems work (1. Theory). Working paper series 28. Centre for Advanced Spatial Analysis, London. http://eprints.ucl.ac.uk/1371/
Torrens PM (2008) A toolkit for measuring sprawl. Appl Spatial Anal 1:5–36
Tsai Y (2005) Quantifying urban form: compactness versus ‘sprawl’. Urban Stud 42(1):141–161
Turner MG, Gardner RH, O’Neill RV (2001) Landscape ecology in theory and practice: pattern and process. Springer, New York, p 401
USA Today (2001) A comprehensive look at sprawl in America. http://www.usatoday.com/news/sprawl/main.htm
USEPA (United States Environmental Protection Agency) (2001) Our built and natural environments. A technical review of the interactions between land use, transportation, and environmental quality. US Environmental Protection Agency. http://www.smartgrowth.org/pdf/built.pdf
Uttarwar PS, Sokhi BS (1989) Remote sensing application in urban fringe study: a case study–Delhi. J Indian Soc Remote Sens 17(3):43–56
Wang W, Zhu L, Wang R, Shi Y (2003) Analysis on the spatial distribution variation characteristic of urban heat environmental quality and its mechanism—a case study of Hangzhou city. Chin Geogr Sci 13(1):39–47
Wilson EH, Hurd JD, Civco DL, Prisloe S, Arnold C (2003) Development of a geospatial model to quantify, describe and map urban growth. Remote Sens Environ 86(3):275–285
Yeh AGO, Li X (2001) Measurement and monitoring of urban sprawl in a rapidly growing region using entropy. Photogramm Eng Remote Sens 67(1):83–90
Zhu M, Xu J, Jiang N, Li J, Fan Y (2006) Impacts of road corridors on urban landscape pattern: a gradient analysis with changing grain size in Shanghai, China. Landsc Ecol 21:723–734
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Bhatta, B. (2012). Review of Literature. In: Urban Growth Analysis and Remote Sensing. SpringerBriefs in Geography. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4698-5_2
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