In this paper a scenario study of the residential land-use development in the Elbe River Basin is presented. The study uses an approach that empirically determines suitability maps for the application within a land-use-change model. Recent urbanisation processes are explained in the first step and are used in simulations of future land use in the second step. Binomial logistic regression analysis is applied in an analysis of the location characteristics influencing residential land-use change. Estimation results are adapted and used as weights in the calculation of suitability maps, which consist of the location characteristics of residential land-use change. Including policy maps in suitability calculations allows important spatial restrictions to be accounted for and enables the impact of spatial planning on the allocation of residential developments to be analysed. The suitability maps are further applied to the Land Use Scanner model to simulate spatially explicit residential land-use developments in the Elbe River Basin. Results of this study show that empirically determined suitability maps used in models of land-use change can contribute to the operational use of scenario studies in political discussion support. Considerable differences in applied policy maps in terms of their contribution to the sustainable development of residential and use are discussed.
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References
1.
AdamBGöddecke-StellmannJ, 2002, “Metropolregionen—Konzepte, Definitionen und Herausforderungen”Informationen zur Raumentwicklung9513–525
2.
AgarwalCGreenG MGroveJ MEvansT PSchweikC M, 2002, “A review and assessment of land-use change models: dynamics of space, time, and human choice”, TP NE-297, Northeastern Research Station, Forest Service, US Department of Agriculture, http://www.nrs.fs.fed.us/pubs/gtr/gtr_ne297.pdf
3.
AnselinL, 1988Spatial Econometrics: Methods and Models (Kluwer Academic Press, Dordrecht)
4.
AspinallR J, 2004, “Modelling land use change with generalized linear models—a multi-model analysis of change between 1860 and 2000 in Gallatin Valley, Montana”Journal of Environmental Management7291–103
5.
BackhausKErichsonBPlinkeWWeiberR, 2006Multivariate Analysemethoden: Eine anwendungsorientierte Einführung (Springer, Berlin)
6.
BBR, 2007, “INKAR 2006—Indikatoren, Karten und Graphiken zur Raum- und Stadtentwicklung in Deutschland und in Europa”, Bundesamt für Bauwesen und Raumordnung, Bonn, http://www.bbr.bund.de/
7.
BlazejczakJGornigMSchulzESchäpelC, 2008, “Szenarien zur Demographie und Ökonomie in der Elbe-Region”Wirkungen des globalen Wandels auf den Wasserkreislauf im Elbegebiet—Risiken und Optionen. Schlussbericht zum BMBF-Vorhaben GLOWA-Elbe II (Potsdam), pp 116–139, http://www.glowa-elbe.de/pdf/schlussbericht_glowaii/kapitel/kapitel2_part1.pdf
8.
Borsboom-van BeurdenJ A MBakemaATijboschH, 2007, “A land-use modelling system for environmental impact assessment: recent applications of the LUMOS toolbox”, in Modelling Land-use Change: Progress and Application Eds KoomenEStillwellJBakemaAScholtenH J (Kluwer, Dordrecht) pp 281–296
ColesT, 1997, “Trading places: the evolution of the retail sector in the new German Länder since unification”Applied Geography17315–333
12.
DekkersJ E CKoomenE, 2007, “Land-use simulation for water management. Application of the Land Use Scanner in two large-scale scenario studies”, in Modelling Land-use Change: Progress and Application Eds KoomenEStillwellJBakemaAScholtenH J (Kluwer, Dordrecht) pp 355–373
13.
DendonckerNBogaertPRounsevellM, 2007, “Empirically derived probability maps to downscale aggregate land-use data”, in Modelling Land-use Change. Progress and Application Eds KoomenEStillwellJBakemaAScholtenH J (Kluwer, Dordrecht) pp 117–131
14.
DoschFBeckmannG, 1999, “Trends und Szenarien der Siedlungflächenentwicklung bis 2010”, in Perspektiven der kunftigen Raum- und Siedlungsentwicklung Eds StrubeltWGatzweilerH-PKaltenbrunnerR (Bundesamt für Bauwesen und Raumordnung, Bonn) pp 827–842
GordonPWongH L, 1985, “The cost of urban sprawl: some new evidence”Environment and Planning A17661–666
17.
HartjeVAnsmannTBlazejczakJGömannHGornigMGrossmanMHillenbrandTHoymannJKreinsPMarkewitzPMutafogluKRichmannASartoriusCSchulzEVögeleSWalzR, 2008, “Regionalisierung der Szenarioanalyse (der Antriebskräfte und des Nutzungsdruckes) des globalen Wandels für die Wasserwirtschaft”Wirkungen des globalen Wandels auf den Wasserkreislauf im Elbegebiet—Risiken und Optionen. Schlussbericht zum BMBF-Vorhaben GLOWA-Elbe II (Potsdam), pp 7–39, http://www.glowa-elbe.de/pdf/schlussbericht_glowaii/kapitel/kapitel2_part1.pdf
HilferinkMRietveldP, 1999, “LAND USE SCANNER: an integrated GIS based model for long term projections of land use in urban and rural areas”Journal of Geographic Information Systems1155–177
20.
HoymannJ, 2008, “Szenarien der Siedlungsflächenentwicklung im Elbeeinzugsgebiet”Wirkungen des globalen Wandels auf den Wasserkreislauf im Elbegebiet—Risiken und Optionen. Schlussbericht zum BMBF-Vorhaben GLOWA-Elbe II (Potsdam), pp 140–170, http://www.glowa-elbe.de/pdf/schlussbericht_glowaii/kapitel/kapitel2_part1.pdf
21.
KingGZenL, 2001, “Logistic regression in rare events data”Political Analysis9137–163
22.
KoomenEBuurmanJ, 2002, “Economic theory and land prices in land use modeling”, in Proceedings of the 5th AGILE Conference on Geographic Information Science, Palma, Balearic Islands Eds RuizMGouldMRumsonJ, http://www.agile-online.org
23.
LambinE FTurnerB LGeistH JAgbolaS BAngelsenABruceJ WCoomesO TDirzoRFischerGFolkeCGeorgeP SHomewoodKImbernonJLeemansRLiXMoranE FMortimerMRamakrishnanP SRichardsJ FSkanesHSteffenWStoneG DSvedinUVelkampAVogelCXuJ, 2001, “The causes of land-use and land-cover change: moving beyond the myths”Global Environmental Change11261–269
24.
LoonenWKoomenE, 2009, “Calibration and validation of the Land Use Scanner allocation algorithms”, in Background Studies (Milieu- en Natuurplanbureau, Bilthoven)
25.
MillingtonJ D APerryG L WRomero-CalcerradaR, 2007, “Regression techniques for examining land use/cover change: a case study of a Mediterranean landscape”Ecosystems10562–578
26.
MMR, ÚÚR, 2006, “Spatial development policy of the Czech Republic”, Institute for Spatial Development, Ministry for Regional Development of the Czech Republic, http://www.uur.cz
27.
NakicenovicNSwartR, 2000Special Report Emissions Scenarios (Cambridge University Press, Cambridge)
PontiusR GJrBatchuK, 2003, “Using the relative operating characteristic to quantify certainty in prediction of location of land cover change in India”Transactions in GIS7467–484
30.
PontiusR GSchneiderL C, 2001, “Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA”Agriculture Ecosystems and Environment85239–248
31.
PrenticeR LPykeR, 1979, “Logistic disease incidence models and case-control studies”Biometrika66403–411
32.
RietveldPScholtenH JStillwellJ, 2001, “EuroScanner: a simulation model for land use change in Europe”, in Land Use Simulation for Europe Eds StillwellJScholtenH J (Kluwer, Dordrecht) pp 235–244
33.
Ritsema van EckJKoomenE, 2008, “Characterising urban concentration and land-use diversity in simulations of future land use”Annals of Regional Science42123–140
ROG, 18 August 1997 (BGB1. I S 2080), zuletzt geändert am 24. Juni 2004 (BGB1. S. 1359), Raumordnungsgesetz [Regional Planning Act]
36.
SchottenC G JGoetgelukRHilferinkMRietveldPScholtenH J, 2001, “Residential construction, land use and the environment: simulations for the Netherlands using a GIS-based land use model”Environmental Modeling and Assessment6133–143
STABU, 2007, “Siedlungs- und Verkehrsfläche nach Art der tatsächlichen Nutzung. Erläuterungen und Eckzahlen 2006”Bodenfläche nach Art der tatsächlichen Nutzung Fachserie 3/Reihe 5.1, Statistiches Bundesamt
39.
ToblerW, 1979, “Cellular geography”, in Philosophy in Geography Eds GaleSOllsonG (Reidel, Dordrecht) pp 379–386
40.
TurnerM GWearD NFlammR O, 1996, “Land ownership and land-cover change in the Southern Appalachian Highlands and the Olympic Peninsula”Ecological Applications61150–1172
Van der HoevenNAertsJVan der KlisHKoomenE, 2008, “An integrated discussion support system for new Dutch flood risk management strategies”, in Planning Support Systems: Best Practices and New Methods Eds GeertmanSStillwellJ (Springer, Berlin) pp 159–174
43.
VerburgP HRitsema van EckJ Rde NijsT C MDijstM JSchotP, 2004a, “Determinants of land-use change patterns in the Netherlands”Environment and Planning B: Planning and Design31125–150
44.
VerburgP HSchotPDijstM JVeldkampA, 2004b, “Land use change modelling: current practice and research priorities”GeoJournal61309–324
45.
WearD NBolstadP, 1998, “Land-use changes in Southern Appalachian landscapes: spatial analysis and forecast evaluation”Ecosystems1575–594
