Simlandscape

and

The Cadastral Landuse Model (CLM)

ROB DE WAARD, TECHNICAL UNIVERSITY OF EINDHOVEN, NETHERLANDS (RSDEWAARD@NIEUWLAND.NL)

Participative local and regional planning and development is difficult and complex.

How can one develop a scenario with many others? How can one collect, assemble and follow all the

relevant information? How can scenarios be assessed?

Simlandscape helps you to answer these questions.

WHAT IS SIMLANDSCAPE ?

A kind of SimCity for spatial planning:• It is a geographical model that can be

used to • explore the present and future

developments • through a kind of “simulation”• which helps communication of ideas

WHAT IS SIMLANDSCAPE ?

The difference with SimCity however is that Simlandscape:

• Is not a computer game but a toolbox for scenario research and design.

• Deals not with players but with the actors in the spatial planning process – researchers and designers of plans, landowners and other users.

• Works with all kind of real monitoring data, with research data and with design data.

• Can visualize scenarios and research and evaluate them also in a quantative way.

WHAT IS THE CADASTRAL LANDUSE MODEL?

CLM is the ‘technology’ behind Simlandscape

• a descriptive transformation model about the cultural landscape and how it changes as a result of the interaction of actors,

• ‘translated’ into a method for scenario research and design and

• into a GIS research model.

PRESENTATION

• Conceptual basics• Applications• Examples

CONCEPTUAL TRANSFORMATION MODEL

Cadastral properties are cells of change of cultural landscapes

VIRTUALCONCEPTS

PHYSICAL CHANGE OF LANDSCAPES

“Idea – artefact” transformation through cadastral property

Physical transformation of culture areas occurs ultimately in the enabling framework of property

CONCEPTUALTRANSFORMATION MODEL

ALL KINDS OF INTERACTIONS INFLUENCE THE DEVELOPMENT OF THE CADASTRAL PROPERTIES

CADASTRAL OWNERS AND THEIR PROPERTIES

NATUREADMINISTRATION

CHANGE IN OCCUPATION = CHANGE IN LANDSCAPE

MARKETS OTHER USERS

LANDSCAPE TX

LANDSCAPES CONSIST OF CELLS OF CHANGE

LANDSCAPE T0

CADASTRAL UNITS ARE CELLS OF CHANGE

TRANSFORMATION IS A POLYCENTRIC PROCES

CADASTRAL UNITS

SUBSTRATUS UNITS

CADASTRAL ASSEMBLAGE PLATE

POLICY ZONES

CLM LANDSCAPE TRANSFORMATION MODEL

LANDSCAPE MODELLING IN SIMLANDSCAPE

CADASTRAL SPACEUSEFORMS

FOREST RESERVE

CLUSTER OF RESIDENTIALFORMS

CAR DEALER

TREE NURSERY CAMPING

C

GLASSHOUSE

CANAL

DIARY FARMMILL (MONUMENT)

DIARY FARM

CADASTRAL ASSEMBLAGE LAYER

SOIL & WATER

LANDSCAPE SCENARIO ASSEMBLAGE

APPLICATIONS

CONCEPTUAL MODEL

DATA HANDLINGFOR SCENARIOMETHOD

INFORMATIONSYSTEM

CADASTRALTYPOLOGYMETHOD

(PARTICIPATIVE)WORKINGPROCEDURE FORSCENARIO METHOD

GAME SIMULATION

QUANTATIVE OUTPUT ASSESMENT PROJECTS AND SCENARIOS

GLOBAL DATAMODEL

SCENARIO COMMUNICATION TOOL

LANDOWNERSDEVELOPERS

ADMINISTRATION

OTHER USERS

PROPERTIESPROJECTS

POLICYZONES

STAKEHOLDER VALUES

PARTICIPATIVE SCENARIO DEVELOPMENT

EACH SCENARIO CAN BE EXPRESSED IN EACH ‘ACTOR LANGUAGE’ (PERSPECTIVE)

CLM OPERATIONALIZES THE IDEA THAT TRANSFORMATION IS A POLYCENTRIC PROCES

GIS TOOL FOR MONITORING AND SCENARIO RESEARCH

TOPOGRAPHICAL DATA

ECONOMICAL DATA

ET CETERA

WATER DATA

CADASTRAL DATA

SOIL DATA

REGIONALECLM DATASET(GIS)

OUPUT EVALUATION

MODELS OF PROPOSED SITUATIONS

MODELS OF EXPECTED SITUATIONS

CONSTRUCTION OF SCENARIOS USING CLM TYPOLOGY METHOD

SOLUTION FOR COMPATIBILITY PROBLEM BY (DES)AGGREGATION OF REALITY AND IDEA DATA

MODEL OF PRESENT SITUATION

QUERIES ON PRESENT SITUATION

SCENARIO CLASSIFICATIONPRESENT SITUATION OR 0-SCENARIO

PROPOSED SITUATIONS (PLANS) ORPROPOSITIONALSCENARIOS

EXPECTED SITUATIONSORPROGNOSTICSCENARIOS

SCENARIO CLASSIFICATIONPRESENT SITUATION OR 0-SCENARIO

PROPOSITIONALSCENARIOS

PROGNOSTIC SCENARIOS

TRENDSCENRIOS

(GAME)SIMULATIONSCENARIOS

POLICY/PLANSCENARIOS

SPECULATIVE SCENARIOS

OWNERSCENARIOS

POLICY REALISATIONSCENARIOS

OWNERSCENARIOS

0-SCENARIO

MONITORING DATA ON PRESENT SITUATION

ELEMENTARY TYPOLOGY cadastral units

ECONOMICAL FUNCTIONS

classification after economical use

SPATIAL TYPOLOGY

classification after presence and weight of physical landuse components

SPACEUSEFORMSMetatypology of economical use and outlay of physical landuse components.

URBAN ECONOMIC FUNCTIONS

0-SCENARIO

Vertalen aub

Nature reserveBuilding industryServicesTradeInfrastructureMixed industryAgro businessResidentialResidential + building industryResidential + tradeResidential + mixed industry

BASIC SPATIAL TYPOLOGY0-SCENARIO

Country estates

Fields

Pastorales (rustic)

Yards

Larger estates

Infrastructure(pm)

USER VALUE FOR ANIMALS OF HALF-OPEN LANDSCAPE

Dataset t0 X demand program animals of halfopen landscapes

0-SCENARIO ANALYSIS

Not included in calculationsHigh value

Low value

OWNER SCENARIOSTRANSFORMATION CHARATERISTICS FOR ENQUIERY

AND DATA

RED SHIFT

Nature, forest, green, grasland, field, orchard, pavement, building

GREEN SHIFT

AREA

SPEED UP

SLOW DOWN

USENETWORK RELATED EARTH RELATED

LAND USE COMPONENTS

EXPECTED ? WISHED ?TRANSFORMATIONSIN

Enlarge Shrink

OWNERS WHO WISH TO REALIZENEW LANDUSE COMPONENTS

0WNER SCENARIOS

Industrial buildinghard surfacegreen

Residential buildinghard surfacegreen

Industrial building, hard & green surfaceResidential idem

Mixed, greenhard surfacegreen + hard

EXPECTED FUNCTION CHANGE DIAGRAM

OWNER SCENARIOS

Expected agricultural development

Expected development natural reserves

Expected urban development

PLANSCENARIO “MIX”(RE)DEVELOPMENT ZONES

Estates

Industrial farming

Country houses

Small farming and recreation

GREEN AND BLUE STRUCTURES

Eco zone

Brooks (existing)

Lakes and dams

1. NULSCENARIO

2. OWNERSCENARIO

3. PORTFOLIO DEVELOPMENTPROJECTS

4. PLANSCENARIO

5. PLANREALIZATIONSCENARIO’S

PLANREALIZATIONSCENARIOS

c

6

Designmodel: advanced intensive

pilot industrial area

inte

nsiv

e la

nd

use

ind

ustria

l are

as

geavanceerd

43%

13%

44%

1,4

8

PROJECT PORTFOLIO (database) PROJECT X

d

75%

Traditional intensive

6

50%

futuristic

advanced

43%

traditional

60%

PROJECT ANALYSIS: DESIGN ALTERNATIVES

SSI

HSI

BSI

25% 20% 13%

15% 5% 44%FSI

1,00

1,25

0,75

0,00 0,8

0

1,4

8

2,0

0

50%1

,00

INTE

NS

IVE

LAN

DU

SE

IND

US

TR

IAL A

RE

AS

PLANREALIZATIONSCENARIOLandmobility (planscenario X expected owner behaviour)

Mix Variant 1

Available land

Non available landDemand for land

PLANREALIZATIONSCENARIODevelopment profile (landmobility X planscenario rules)

Mix Variant 1

development space for …

Pastorales (rustic)Park

Larger estatesCountry estatesAgriculture