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Controlling urban sprawl to limit soil consumption (SPROIL) NFP 68 proposal

Controlling urban sprawl to limit soil consumption (SPROIL) NFP 68 proposal. Felix Kienast , Prof., WSL Birmensdorf Jochen Jaeger, Prof., Concordia Univ., Montreal Christian Schwick , Die Geographen, private company Anna M. Hersperger , Dr., WSL Birmensdorf

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Controlling urban sprawl to limit soil consumption (SPROIL) NFP 68 proposal

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  1. Controlling urban sprawltolimitsoilconsumption (SPROIL) NFP 68 proposal Felix Kienast, Prof., WSL Birmensdorf Jochen Jaeger, Prof., Concordia Univ., Montreal Christian Schwick, Die Geographen, private company Anna M. Hersperger, Dr., WSL Birmensdorf Fabian Waltert, Dr., WSL Birmensdorf Tobias Schulz, Dr., WSL Birmensdorf Irmi Seidl, PD Dr., WSL Birmensdorf

  2. Whythistopic in the NFP68? EEA Report No. 10/2006

  3. Whythistopic in theNFP68? ? * Somesoillossinevitablebut.. 1979/85 1992/97 2004/09 source: Swiss Arealstatistics 2012 * 2004/09 dataforonly 76% ofSwitzerland

  4. The threedimensionsoftheproject Data & facts: economic& politicaldrivers;long time seriesofsprawlindicators Soilconsumption Predictivetools: spatially explicit models, scenarios Novelplanningmeasuresandeconomicinstruments

  5. Whythisteam? • Innovative & widelyacceptedindicators Weighted urban proliferation WUP = Asettle * g1(DIS) * g2(LU) * DIS Areportunit Jaeger, Bertiller, Schwick, Kienast 2010a,b, Ecol. Indicators

  6. Whythisteam? • Innovative & widelyacceptedindicators • Unique spatio-temporal dataseton urban sprawl (1935 – 2010) for all Swiss municipalities • Strong interdisciplinaryteam; strong knowledgeexchangecomponent 1935 - 2010 Jaeger, Bertiller, Schwick, Kienast 2010a,b, Ecol. Indicators

  7. Research design, methods, collaboration Political andplanningdrivers Economicdrivers Acquiring knowledge • Political conditionsthatsupport/hinder) landuseregulationsandthussprawl • Best policiestocontrol urban sprawlandensuresoilprotection • Major economicdriversofsprawl • Geographicalvariationofdrivers • Economicandfiscalincentivesbestsuitedtocontrolsprawl Predictivemodels Combining knowledge • Link sprawlmetricstoeconomicandpoliticaldrivers • Derivesprawlscenarios Synthesis – knowledgeexchange Exchanging knowledge • Overlaysprawlscenarioswithsoilmaps (functionsqualities) • Planningguidelines, newincentives

  8. Research design, methods, collaboration Political andplanningdrivers Economicdrivers Acquiring knowledge • Instruments, politicalandplanningregulationsfrom300-400 municipalities • Identifyingsignificantdrivers • In-depthanalysiswithfsQCAin 40 municipalities • Economicdataall Swiss municip. • Identifyingsignificantdrivers • Analyzingspatialsignal(GWR) • Derivecausal links Predictivemodels causality Combining knowledge • Spatialregressionmodels • Down-scalingto1ha • Sprawlallocation, scenarios Synthesis – knowledgeexchange Exchanging knowledge • Mapoverlays • Stakeholderworkshops (OPSOL) • Planningguidelines, newincentives Cluster „Land mapping / GIS“

  9. Mappedsoilqualitiesand functions Projects Papritz, Keller Decisionsupportandplanning: individual, municipal, cantonal, federal Research design, methods, collaboration Projects Grêt-Regamey, Clivaz, Joerin Reducedsoil consumption Projectedsoil consumption General sprawl scenarios 2030, 2050 2010 Drivers of urban sprawl 2000 time 1990 . . 1935 Socio-economy Political system

  10. People involved Political andplanningdrivers Economicdrivers Acquiring knowledge PhD PhD Anna M. Hersperger& Tobias Schulz WSL Birmensdorf Fabian Waltert& Irmi Seidl, WSL Birmensdorf Predictivemodels Combining knowledge Christian Schwick Die Geographen private company Post- Doc Jochen Jaeger Concordia Montreal Synthesis – knowledgeexchange Exchanging knowledge Project coordinatedby Felix Kienast WSL Birmensdorf

  11. Strong outreach! • Fullysupportedby WSL • Majorityofteammembershavebroadexperience in outreach • Cover fullrangeofoutreachmethodsandproducts

  12. Thankyou! 2030, 2050

  13. Supporting material I Fullsetofsprawlindicators, except WUP (slide 5)

  14. Supporting material II Development ofthesettlementareain theregionaround Lausanne

  15. Weighted urban proliferation (WUP) Urban permeation (UP) Supporting material III Fullsetofsprawlindicatorsfor 3 communities in Switzerland 1935-2002 Land uptake (LU) Dispersion (DIS)

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