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P.O. Box 463

6200 AL Maastricht [email protected] www.riks.nl

Hedwig van Delden Garry McDonald Jasper van Vliet

1

Integrating macro-economic

developments and land-use allocations

in simulating urban dynamics

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Research context

 Two research projects in New Zealand to develop and use spatial models for supporting planning processes

 policy impact assessment

 forecasting land-use developments

 application to a rural region: Waikato

 application to two urban regions: Auckland and Wellington

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3

Land use change over time…

 Land use dynamics are complex and exhibit self- organising behaviour

 Planners and policy makers have a decisive influence on future land use

Challenge!

Contradiction?

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Challenges

 Simulation of spatial developments over time

 Incorporation of a range of drivers

 Dynamics driven by processes operating on various scales

 Bottom-up and top-down interactions!

 Development of a system for policy support

 Useful system for policy analysts in

supporting scenario studies and policy impact assessment

 Transparent system with access to data and parameters for technicians and modellers

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5

Starting point…

 Metronamica land use model

 Constrained cellular automata based model

 Yearly time steps

 Time horizon 2025-2050

 Spatial extent 100 x 100 km (Wellington)

 Spatial resolution 100 m (Wellington)

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Land use

Time Loop

&

Stochastic perturbation

0 0.5 1

rand

tv

ln 1

& interaction weights Suitability

&

Accessibility

&

Transition Rule

Change cells to the land use for which they have the highest

transition potential until regional demands are met

Zoning

&

Land use at time T+1

Transition Potentials

=

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7

How to obtain regional demands?

 Macro-economic model

 Input-output model

 Calculation of economic developments per sector taking into account the

interdependencies between sectors

 Annual time step

 Demographic model

 Age cohort model

 Calculation of the population per age cohort based on birth, mortality and migration rates

 Annual time step

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Integrating socio-economics and land use

Demand side

Final demand ($)

Output ($)

Supply side

Change in final demand ($)

Reduction in output ($)

Land use allocation

- Spatial planning - Suitability

- … t-1

Land that could not be allocated

Conversion to land use demands (ha) Demographic

developments - Exports

- …

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9

Integrating macro-economics and land use

 Main benefit of using IO (or CGE) models is that the impact of land use can be analysed not only on one sector, but also on all other sectors

 Dynamic coupling between macro-economics and land-use change

 Impact of socio-economic growth on land use developments

 Impact of (limited) natural resources on economic development

 The concept of the economic model had to be stretched by calculating the demand in one year and the supply in another, not allowing an

equilibrium in each year

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Conclusions on the modelling approach

 Dynamic coupling between macro-economics and land use change

 Impact of socio-economic growth on land use developments

 Impact of (limited) natural resources on economic development

 Equilibrium approach of economic models often poses conceptual conflicts with the simulation approach of dynamic land use change models

 Being able to couple models technically doesn’t mean the coupling makes sense!

 For future research it is recommended to focus first on the integration of the processes and next on the model implementation

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Thank you!

[email protected]

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