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Original Articles

Driving factors of urban sprawl in the Romanian plain. Regional and temporal modelling using logistic regression

, , ORCID Icon, &
Pages 7220-7246 | Received 08 Apr 2021, Accepted 08 Aug 2021, Published online: 23 Aug 2021

References

  • Abebe GA. 2013. Quantifying urban growth pattern in developing countries using remote sensing and spatial metrics: A case study in Kampala, Uganda [PhD thesis]. Enschede (The Netherlands): ITC Enschede. https://www.itc.nl/library/papers_2013/msc/upm/abebe.pdf.
  • Aljoufie M, Brussel M, Zuidgeest M, van Maarseveen M. 2013. Urban growth and transport infrastructure interaction in Jeddah between 1980 and 2007. Int J Appl Earth Obs Geoinf. 21:493–505.
  • Allen J, Lu K. 2003. Modeling and prediction of future urban growth in the Charleston region of South Carolina: a GIS-based integrated approach. Ecol Soc. 8(2):2.
  • Alqurashi AF, Kumar L, Al-Ghamdi KA. 2016. Spatiotemporal modeling of urban growth predictions based on driving force factors in five Saudi Arabian cities. IJGI. 5(8):139.
  • Alsharif AA, Pradhan B. 2014. Urban sprawl analysis of Tripoli Metropolitan city (Libya) using remote sensing data and multivariate logistic regression model. J Indian Soc Remote Sens. 42(1):149–163.
  • Arribas-Bel D, Nijkamp P, Scholten H. 2011. Multidimensional urban sprawl in Europe: A self-organizing map approach. Comput Environ Urban Syst. 35(4):263–275.
  • Arsanjani JJ, Helbich M, Kainz W, Boloorani AD. 2013. Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. Int J Appl Earth Obs Geoinf. 21:265–275.
  • Bagheri B, Tousi SN. 2018. An explanation of urban sprawl phenomenon in Shiraz Metropolitan Area (SMA). Cities. 73:71–90.
  • Bălteanu D. 2016. Unitățile de Relief. Podișurile și câmpiile. In: Bălteanu D, Dumitraşcu M, Geacu S, Mitrică B, Sima M, editors. Romania. Natură și Societate. Bucharest (Romania): The Publishing House of the Romanian Academy; p. 87–101.
  • Barnes KB, Morgan JM, III, Roberge MC, Lowe S. 2001. Sprawl development: its patterns, consequences, and measurement. Towson (MD): Towson University; p. 1–24.
  • Bereitschaft B, Debbage K. 2014. Regional variations in urban fragmentation among U.S. metropolitan and megapolitan areas. Appl Spatial Anal. 7(2):119–147.
  • Berling-Wolff S, Wu J. 2004. Modeling urban landscape dynamics: a case study in Phoenix, USA. Urban Ecosyst. 7(3):215–240.
  • Bičík I, Jeleček L. 2009. Land use and landscape changes in Czechia during the period of transition 1990–2007. Geografie – Sbornik ČGS. 114(4):263–281.
  • Biłozor A, Szuniewicz K, Cieślak I. 2020. The use of the CORINE Land Cover (CLC) database for analyzing urban sprawl. Remote Sens. 12(2):282.
  • Chen J, Gao J, Yuan F. 2016. Growth type and functional trajectories: an empirical study of urban expansion in Nanjing, China. PLoS One. 11(2):e0148389.
  • Cheng J. 2003. Modelling spatial and temporal urban growth. Doctoral Dissertation, Faculty of Geographical Sciences, Utrecht University. http://www.muthar-alomar.com/wp-content/uploads/2013/01/Modeling-Urban-Growth.pdf
  • Cheng J, Masser I. 2003. Urban growth pattern modeling: a case study of Wuhan city, PR China. Landscape Urban Plan. 62(4):199–217.
  • Clark WAV, Hosking PL. 1986. Statistical methods for geographers. New York (NY): Wiley.
  • Colsaet A, Laurans Y, Levrel H. 2018. What drives land take and urban land expansion? A systematic review. Land Use Policy. 79:339–349.
  • Corodescu E, Cîmpianu C. 2012. Assessing the spatial differences among some urban expansion driving forces in Constanța metropolitan area (Romania). Scien Ann “Al. I. Cuza” Univ Iaşi. LX(2):77–95.
  • Debbage N, Bereitschaft B, Shepherd JM. 2017. Quantifying the spatiotemporal trends of urban sprawl among large US metropolitan areas via spatial metrics. Appl Spatial Anal. 10(3):317–345.
  • Degórska B. 2012. Spatial growth of urbanised land within the Warsaw Metropolitan Area in the first decade of the 21st century. Geogr Pol. 85(3):77–95.
  • Dendoncker N, Rounsevell M, Bogaert P. 2007. Spatial analysis and modelling of land use distributions in Belgium. Comput Environ Urban Syst. 31(2):188–205.
  • Dinda S, Chatterjee ND, Ghosh S. 2021. An integrated simulation approach to the assessment of urban growth pattern and loss in urban green space in Kolkata, India: a GIS-based analysis. Ecol Indic. 121:107178.
  • Dong G, Xu E, Zhang H. 2015. Spatiotemporal variation of driving forces for settlement expansion in different types of counties. Sustainability. 8(1):39.
  • Duwal S. 2013. Modelling urban growth in Kathmandu Valley. Enschede (The Netherlands): University of Twente Faculty of Geo-Information and Earth Observation (ITC).
  • Duwal S, Amer S, Kuffer M. 2018. Modelling urban growth in the Kathmandu Valley, Nepal. In: Taylor & Francis Group, editors. GIS in sustainable urban planning and management (open access). Boca Raton (FL): CRC Press; p. 205–224.
  • Eastman JR, Solorzano LA, van Fossen ME. 2005. Transition potential modeling for land-cover change. In: Maguire DJ, Batty M, Goodchild MF, editors. GIS, spatial analysis, and modeling. San Francisco (CA): ESRI Press; p. 357–385.
  • EEA. 2006. Urban sprawl in Europe – the ignored challenge. EEA Report No 10/2006. European Environment Agency.
  • EEA. 2016. Urban sprawl in Europe Joint EEA-FOEN report. EEA Report No 11/2016. European Environment Agency.
  • Fang S, Gertner GZ, Sun Z, Anderson AA. 2005. The impact of interactions in spatial simulation of the dynamics of urban sprawl. Landscape Urban Plan. 73(4):294–306.
  • Fina S, Siedentop S. 2008. Urban sprawl in Europe – identifying the challenge. In: Schrenk M, Popovich VV, Engelke D, Elisei P, editors. Proceedings of the 13th International Conference on Urban Planning and Regional Development in the Information Society, Vienna, May 19–21 2008; p. 249–501.
  • Frenkel A, Ashkenazi M. 2008. Measuring urban sprawl: how can we deal with it? Environ Plann B Plann Des. 35(1):56–79.
  • Geshkov M. 2015. Urban sprawl in Eastern Europe. the Sofia City example. Econ Alternatives. 2:101–116.
  • Glaeser EL, Gottlieb JD. 2006. Urban resurgence and the consumer city. Urban Studies. 43(8):1275–1299.
  • Glaeser EL, Kahn ME. 2004. Sprawl and urban growth. In: ELSEVIER BV, editors. Handbook of regional and urban economics. Vol. 4. Amsterdam (The Netherlands): Elsevier; p. 2481–2527.
  • Grădinaru SR, Iojă CI, Onose DA, Gavrilidis AA, Pătru-Stupariu I, Kienast F, Hersperger AM. 2015. Land abandonment as a precursor of built-up development at the sprawling periphery of former socialist cities. Ecol. Indic. 57:305–313.
  • Grădinaru SR, Kienast F, Psomas A. 2019. Using multi-seasonal Landsat imagery for rapid identification of abandoned land in areas affected by urban sprawl. Ecol Indic. 96:79–86.
  • Grigorescu I, Kucsicsa G. 2017. Spatial and temporal dynamics of urban sprawl in the Romanian Plain over the last century. Rev Roum Géogr/Rom J Geogr. 61(2):109–123.
  • Grigorescu I, Kucsicsa G, Mitrică B. 2015. Assessing spatio-temporal dynamics of urban sprawl in the Bucharest metropolitan area over the last century. In: Bičík I, Himiyama Y, Feranec J, Kupková L, editors. Land use/cover changes in selected regions in the world, Vol. X. Prague (the Czech Republic): IGU-LUCC, Charles University in Prague, Faculty of Science; p. 19–27.
  • Grigorescu I, Kucsicsa G, Mitrică B, Mocanu I, Dumitraşcu M. 2020. Regional spatial and statistical analyses of the urban-rural relationships in Romania. Case Study: Romanian plain. In: Nedkov S, Zhelezov G, Ilieva N, Nikolova M, Koulov B, Naydenov K, Dimitrov S, editors. Smart geography. Cham (Switzerland): Springer; p. 155–173.
  • Grigorescu I, Kucsicsa G, Popovici EA, Mitrică B, Dumitrașcu M, Mocanu I. 2018. Regional disparities in the urban sprawl phenomenon in Romania using CORINE land cover database. Roumaine Géogr/Romanian J Geogr. 62(2):169–184.
  • Grigorescu I, Kucsicsa G, Popovici EA, Mitrică B, Mocanu I, Dumitraşcu M. 2021. Modelling land use/cover change to assess future urban sprawl in Romania. Geocarto Int. 36(7):721.
  • Haase D, Kabisch N, Haase A. 2013. Endless urban growth? On the mismatch of population, household and urban land area growth and its effects on the urban debate. PLoS One. 8(6):e66531.
  • Hamdy O, Zhao S, Osman T, Salheen MA, Eid YY. 2016. Applying a hybrid model of markov chain and logistic regression to identify future urban sprawl in Abouelreesh, Aswan: a case study. Geosciences. 6(4):43.
  • Hennig EI, Schwick C, Soukup T, Orlitová E, Kienast F, Jaeger JA. 2015. Multi-scale analysis of urban sprawl in Europe: towards a European de-sprawling strategy. Land Use Policy. 49:483–498.
  • Hirt S. 2007. Suburbanizing Sofia: characteristics of post-socialist peri-urban change. Urban Geogr. 28(8):755–780.
  • Hirt S. 2008. Landscapes of postmodernity: Changes in the built fabric of Belgrade and Sofi a since the end of socialism. Urban Geogr. 29(8):785–810.
  • Hu Z, Lo CP. 2007. Modeling urban growth in Atlanta using logistic regression. Comput Environ Urban. 31(6):667–688.
  • Ianoş I, Sîrodoev I, Pascariu G, Henebry G. 2016. Divergent patterns of built-up urban space growth following post-socialist changes. Urban Studies. 53(15):3172–3188.
  • Iațu C, Munteanu A, Boghinciuc M, Cernescu R, Ibănescu B. 2011. The effects of transportation system on the urban sprawl process for the city of Iasi, Romania. In: Pratelli A, Brebbia CA, editors. Urban transport XVII: urban transport and the environment in the 21st century, Vol. 116. Southampton (Boston): WIT Press; p. 291.
  • Iizuka K, Johnson BA, Onishi A, Magcale-Macandog DB, Endo I, Bragais M. 2017. Modeling future urban sprawl and landscape change in the Laguna de Bay Area, Philippines. Land. 6(2):26.
  • Irwin EG, Bockstael NE, Cho HJ. 2006, November. Measuring and modeling urban sprawl: Data, scale and spatial dependencies. In: Regional Science Association Meetings, Toronto, Canada.
  • Ismael HM. 2021. Urban form study: the sprawling city—review of methods of studying urban sprawl. GeoJournal. 86(4):1785.
  • Jafari M, Majedi H, Monavari SM, Alesheikh AA, Kheirkhah Zarkesh M. 2016. Dynamic simulation of urban expansion based on cellular automata and logistic regression model: case study of the Hyrcanian Region of Iran. Sustainability. 8(8):810.
  • Jiang L, Deng XZ, Seto KC. 2012. Multi-level modeling of urban expansion and cultivated land conversion for urban hotspot counties in China. Landscape Urban Plann. 108 (2-4):131–139.
  • Karwińska A, Böhm A, Kudłacz M. 2018. The phenomenon of urban sprawl in modern Poland: causes, effects and remedies. Zarządzanie Publiczne/Public Governance. 3(45):26–43.
  • Kasraian D, Maat K, van Wee B. 2019. The impact of urban proximity, transport accessibility and policy on urban growth: a longitudinal analysis over five decades. Environ Plann B Urban Analytics City Sci. 46(6):1000–1017.
  • Kim Y, Newman G, Güneralp B. 2020. A review of driving factors, scenarios, and topics in urban land change models. Land. 9(8):246.
  • Kok H, Kovacs Z. 1999. The process of suburbanization in the agglomeration of Budapest. Neth J Housing Built Environ. 14(2):119–141.
  • Kovács Z, Farkas ZJ, Egedy T, Kondor AC, Szabó B, Lennert J, Baka D, Kohán B. 2019. Urban sprawl and land conversion in post-socialist cities: the case of metropolitan Budapest. Cities. 92:71–81.
  • Kucsicsa G, Grigorescu I. 2018. Urban growth in the Bucharest metropolitan area: spatial and temporal assessment using logistic regression. J Urban Plann Dev. 144(1):05017013.
  • Li C, Li J, Wu J. 2013. Quantifying the speed, growth modes, and landscape pattern changes of urbanization: a hierarchiacal patch dynamics approach. Landscape Ecol. 28(10):1875–1888.
  • Li G, Sun S, Fang C. 2018. The varying driving forces of urban expansion in China: insights from a spatial-temporal analysis. Landscape Urban Plann. 174:63–77.
  • Lillesand TM, Kiefer RW, Chipman JW. 2014. Remote sensing and image interpretation, 7th ed. Hoboken (NJ): John Wiley & Sons; p. 469.
  • Lincaru C, Atanasiu D, Ciucă V, Pirciog S. 2016. Peri-urban areas and land use structure in Romania at LAU2 level: an exploratory spatial data analysis. Procedia Environ Sci. 32:124–137.
  • Lisowski A. 2004. Social aspects of the suburbanisation stage in the agglomeration of Warsaw. Dela. 21:531–541.
  • Liu H, Zhou Q. 2005. Developing urban growth predictions from spatial indicators based on multi-temporal images. Comput Environ Urban Syst. 29(5):580–594.
  • Losiri C, Nagai M, Ninsawat S, Shrestha RP. 2016. Modeling urban expansion in Bangkok metropolitan region using demographic–economic data through cellular automata-Markov chain and multi-layer perceptron-Markov chain models. Sustainability. 8(7):686.
  • Lu D, Weng Q. 2007. A survey of image classification methods and techniques for improving classification performance. Int J Remote Sens. 28 (5):823–870..
  • Luo J, Wei YD. 2009. Modeling spatial variations of urban growth patterns in Chinese cities: the case of Nanjing. Landscape Urban Plan. 91(2):51–64.
  • Luo T, Tan R, Kong X, Zhou J. 2019. Analysis of the driving forces of urban expansion based on a modified logistic regression model: a case study of Wuhan City, Central China. Sustainability. 11(8):2207.
  • Mas JF, Filho BS, Pontius RG, Jr, Gutiérrez MF, Rodrigues H. 2013. A suite of tools for ROC analysis of spatial models. IJGI. 2(3):869–887.
  • McCullagh PNJ. 1989. Generalized linear models, Vol. 37. Boca Raton (FL): CRC Press.
  • Mieszkowski P, Mills ES. 1993. The causes of metropolitan suburbanization. J Econ Perspect. 7(3):135–147.
  • Mitrică B, Grigorescu I, Săgeată R, Mocanu I, Dumitrașcu M. 2020. Territorial development in Romania. Regional disparities in vol. Dilemmas of Regional and Local Development: Theory, Methodology and Applications (Bański J, editor.), London: Routledge Publishing House; p. 206–242. https://www.routledge.com/Dilemmas-of-Regional-and-Local-Development/Banski/p/book/9781138359154.
  • Mitrică B, Săgeată R, Grigorescu I. 2014. The Romanian urban system – an overview of the post-communist period. Forum Geogr. XIII(2):230–241. .
  • Mitrică B, Grigorescu I, & Urucu V, 2016. Dezvoltarea urbană şi ariile metropolitane. In: Bălteanu D, Dumitraşcu M, Geacu S, Mitrică B, Sima M, editors. Romania. Natură și Societate. Bucharest (Romania): The Publishing House of the Romanian Academy; p. 250–291.
  • Mondal B, Das DN, Dolui G. 2015. Modeling spatial variation of explanatory factors of urban expansion of Kolkata: a geographically weighted regression approach. Model Earth Syst Environ. 1(4):29.
  • Mustafa A, Heppenstall A, Omrani H, Saadi I, Cools M, Teller J. 2018. Modelling built-up expansion and densification with multinomial logistic regression, cellular automata and genetic algorithm. Comput Environ Urban Syst. 67:147–156.
  • Nae M, Dumitrache L, Suditu B, Matei E. 2019. Housing activism initiatives and land-use conflicts: pathways for participatory planning and urban sustainable development in Bucharest City, Romania. Sustainability. 11(22):6211.
  • Nagelkerke NJD. 1991. A note on a general definition of the coefficient of determination. Biometrika. 78 (3):691–692.
  • Nong Y, Du Q. 2011. Urban growth pattern modeling using logistic regression. Geo-Spatial Inf Sci. 14(1):62–67.
  • Nuissl H, Haase D, Lanzendorf M, Wittmer H. 2009. Environmental impact assessment of urban land use transitions – a context-sensitive approach. Land Use Policy. 26(2):414–424.
  • Osman T, Prasanna DUCS, Arima T. 2016. Driving factors of urban sprawl in Giza governorate of the Greater Cairo Metropolitan Region using a logistic regression model. Int J Urban Sci. 20(2):206–225.
  • Oueslati W, Alvanides S, Garrod G. 2015. Determinants of urban sprawl in European cities. Urban Stud. 52(9):1594–1614.
  • Ouředníček M. 2007. Differential suburban development in the Prague urban region. Geogr Ann Ser B, Hum Geogr. 89(2):111–126.
  • Park SY, Jeon SW, Kim SY, Choi CU. 2011. Prediction and comparison of urban growth by land suitability index mapping using GIS & RS in South Korea. Landscape Urban Plann. 99 (2):104–114.
  • Patacchini E, Zenou Y. 2009. Urban sprawl in Europe. Brookings-Wharton Pap Urban Affairs. 10(1):125–149.
  • Pătru-Stupariu I, Stupariu MS, Cuculici R, Huzui A. 2011. Understanding landscape change using historical maps. Case study Sinaia, Romania. J Maps. 7(1):206–220.
  • Petrişor AI, Petrişor LE. 2018. Transitional dynamics based trend analysis of land cover and use changes in Romania during 1990-2012. Present Environ Sustain Dev. 12(2):215–231.
  • Petrişor AI. 2012. Land cover and land use analysis of urban growth in Romania. Hum Geogr. 6(1):47–51.
  • Pichler-Milanović N, Gutry-Korycka M, Rink D. 2007. Sprawl in the post-socialist city: the changing economic and institutional context of central and eastern European cities. In: Couch C, Petschel-Held G, Leontidou L, editors. Urban sprawl in Europe: landscapes, land-use change and policy. Malaysia: Wiley-Blackwell; p. 102–135.
  • Poelmans L, Van Rompaey A. 2009. Detecting and modelling spatial patterns of urban sprawl in highly fragmented areas: a case study in the Flanders–Brussels region. Landscape Urban Plann. 93(1):10–19.
  • Poelmans L, Van Rompaey A. 2010. Complexity and performance of urban expansion models. Comput Environ Urban Syst. 34(1):17–27.
  • Pontius GR, Jr., Schneider CL. 2001. Land–cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA. Agric Ecosyst Environ. 85(1-3):239–248.
  • Popescu C. 2014. Deindustrialization and urban shrinkage in Romania. What lessons for the spatial policy? Transylvanian Rev Administr Sci. 10(42):181–202.
  • Popescu C. 2016. Industrializarea României – de la dezindustrializare la reindustrializare. In: Bălteanu D, Dumitraşcu M, Geacu S, Mitrică B, Sima M, editors. Romania. Natură și Societate. Bucharest (Romania): The Publishing House of the Romanian Academy; p. 375–404.
  • Popovici EA, Bălteanu D, Kucsicsa G. 2013. Assessment of changes in land-use and land-cover pattern in Romania using Corine Land Cover Database. Carpathian J Earth Environ Sci. 8(4):195–208.
  • Popovici EA, Kucsicsa G, Balteanu D, Grigorescu I, Mitrica B, Dumitrascu M, Damian N. 2018. Past and future land use/cover flows related to agricultural lands in Romania. An assessment using CLUE-S Model and CORINE Land Cover Database. Carpath J Earth Environ Sci. 13(2):613–628.
  • Priyanto AT. 2010. The impact of human activities on coastal zones and strategies towards sustainable development: a case study in Pekalongan, Indonesia. Enschede (The Netherlands): University of Twente, Faculty of Geoinformation and Earth Observation ITC.
  • Puig CJ, Hyman G, Bolaños S. 2002. Digital classification vs. visual interpretation: a case study in humid tropical forests of the peruvian amazon. Proc. 29th Int. Symp. Remote Sens. Environ, XXIX, Buenos Aires, Argentina; p. 8–12.
  • Rifat SAA, Liu W. 2019. Quantifying spatiotemporal patterns and major explanatory factors of urban expansion in Miami Metropolitan Area during 1992–2016. Remote Sens. 11(21):2493.
  • Saganeiti L, Mustafa A, Teller J, Murgante B. 2021. Modeling urban sprinkling with cellular automata. Sustain Cities Soc. 65:102586.
  • Salem M, Tsurusaki N, Divigalpitiya P. 2019. Analyzing the driving factors causing urban expansion in the peri-urban areas using logistic regression: a case study of the Greater Cairo region. Infrastructures. 4(1):4.
  • Salvati L, Zambon I, Chelli FM, Serra P. 2018. Do spatial patterns of urbanization and land consumption reflect different socioeconomic contexts in Europe? Sci Total Environ. 625:722–730.
  • Sârbu C. 2012. Urban expansion-urban shrinking considerations on Brasov agglomeration urban dynamics. Hum Geogr. 6(1):53.
  • Sarkar A, Chouhan P. 2020. Modeling spatial determinants of urban expansion of Siliguri a metropolitan city of India using logistic regression. Model Earth Syst Environ. 6(4):2317–2331.
  • Shahraki SZ, Sauri D, Serra P, Modugno S, Seifolddini F, Pourahmad A. 2011. Urban sprawl pattern and land-use change detection in Yazd, Iran. Habitat Int. 35(4):521–528.
  • Shu B, Zhang H, Li Y, Qu Y, Chen L. 2014. Spatiotemporal variation analysis of driving forces of urban land spatial expansion using logistic regression: a case study of port towns in Taicang City, China. Habitat Int. 43:181–190.
  • Silva P, Li L. 2017. Mapping Urban Expansion and Exploring Its Driving Forces in the City of Praia, Cape Verde, from 1969 to 2015. Sustainability. 9(8):1434.
  • Singh SK, Mustak S, Srivastava PK, Szabó S, Islam T. 2015. Predicting spatial and decadal LULC changes through cellular automata Markov chain models using earth observation datasets and geo-information. Environ Process. 2(1):61–78.
  • Špačková P, Ouředníček M. 2012. Spinning the web: new social contacts of Prague’s suburbanites. Cities. 29(5):341–349.
  • Squires GD. 2002. Urban sprawl and the uneven development of Metropolitan America. In: Squires GD, editor. Urban sprawl: causes, consequences, & policy responses. Washington DC: The Urban Insitute; p. 1–22.
  • Stanilov K, Hirt S. 2014. Sprawling Sofia: postsocialist suburban growth in the Bulgarian capital. In: Stanilov K, Sýkora L, editors. Confronting suburbanization: urban decentralization in postsocialist central and Eastern Europe. Chichester (West Sussex): Wiley-Blackwell; p. 163–191.
  • Sudhira HS, Ramachandra TV, Jagadish KS. 2004. Urban sprawl: metrics, dynamics and modelling using GIS. Int J Appl Earth Obs Geoinf. 5(1) :29–39.
  • Suditu B, Ginavar A, Muica A, Iordachescu C, Vardol A, Ghinea B. 2010. Urban sprawl characteristics and typologies in Romania. Hum Geogr. 4(2):79.
  • Sýkora L, Ourednicek M. 2007. Sprawling post-communist metropolis: commercial and residential suburbanisation in Prague and Brno, the Czech Republic. In: Razin E, Dijst M, Vázquez C, editors. Employment deconcentration in European Metropolitan Areas, Vol. 91. Dordrecht (Netherlands): Springer; p. 209–233.
  • Thapa RB, Murayama Y. 2010. Drivers of urban growth in the Kathmandu valley, Nepal: examining the efficacy of the analytic hierarchy process. Appl Geogr. 30(1):70–83.
  • Thapa RB, Murayama Y. 2011. Urban growth modeling of Kathmandu metropolitan region, Nepal. Comput Environ Urban Syst. 35(1):25–34.
  • Torrens PM. 2008. A toolkit for measuring sprawl. Appl Spatial Analysis. 1(1):5–36.
  • Triantakonstantis D, Stathakis D. 2015. Examining urban sprawl in Europe using spatial metrics. Geocarto Int. 30(10):1092–1112.
  • Tsai YH. 2005. Quantifying urban form: compactness versus' sprawl'. Urban Studies. 42(1):141–161.
  • Verburg PH, Schot P, Dijst M, Veldkamp A. 2004. Land use change modelling: current practice and research priorities. Geojournal. 61(4):309–324.
  • Verburg PH, Soepboer W, Limpiada R, Espaldon MVO, Sharifa M, Veldkamp A. 2002. Land use change modelling at the regional scale: the CLUE–S model. Environ Manage. 30(3):391–405.
  • Verburg PH, van de Steeg J, Schulp N. 2005. Manual for the CLUE-Kenya application. Wageningen (the Netherlands): Wageningen University, Department of Environmental Sciences; p. 54.
  • Wilson EH, Hurd JD, Civco DL, Prisloe MP, Arnold C. 2003. Development of a geospatial model to quantify, describe and map urban growth. Remote Sens Environ. 86(3):275–285.
  • Wu F. 2000. A parameterised urban cellular model combining spontaneous and self-organizing growth. In: Atkinson P, Martin D, editors. GIS and geocomputation. New York (NY): Taylor & Francis Group; p. 73–86.
  • Wu K, Zhang H. 2012. Land use dynamics, built-up land expansion patterns, and driving forces analysis of the fast-growing Hangzhou metropolitan area, eastern China (1978e2008). Appl Geogr. 34:137e145.
  • Xu C, Liu M, Zhang C, An S, Yu W, Chen JM. 2007. The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China. Landscape Ecol. 22(6):925–937.
  • Zhang Z, Wang X, Zhao X, Liu B, Yi L, Zuo L, Wen Q, Liu F, Xu J, Hu S. 2014. A 2010 update of national land use/cover database of China at 1:100000scale using medium spatial resolution satellite images. Remote Sens Environ. 149:142–154.
  • Zhao P. 2011. Managing urban growth in a transforming China: evidence from Beijing. Land Use Policy. 28(1):96–109.

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