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Land 2014, 3(3), 1180-1213; doi:10.3390/land3031180

Regional Development Scenario Evaluation through Land Use Modelling and Opportunity Mapping

1
School of Geography, Planning and Environmental Policy, University College Dublin, Belfield, Dublin 4, Ireland
2
Modelling and Coordination of Scientific Support for Impact Assessment, European Commission-Joint Research Centre, Brussels 1050, Belgium
*
Author to whom correspondence should be addressed.
Received: 21 March 2014 / Revised: 5 August 2014 / Accepted: 5 September 2014 / Published: 19 September 2014
(This article belongs to the Special Issue Land Change Modeling: Connecting to the Bigger Picture)
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Abstract

In the context of sustainable urban development, the application of selected indicators integrated with scenario simulation and analysis can contribute to evidence-based decision making. This paper discusses the application of land use modelling and opportunity mapping approaches to evaluate regional development scenarios for the Greater Dublin Region in the period to 2026 evolving from research initially developed with the Dublin Regional Authority. This involved the simulation of four different future regional development scenarios using an adapted version of the MOLAND model with opportunity maps based on combined spatial indicators corresponding to these scenarios. The results produce valuable information for policy makers and planners assisting the evaluation of the consequences of their decisions in both a spatial and temporal context. This paper aims to show how current and future planning and economic policy can make targeted and evidence-based policy interventions and achieve resource efficiencies through the use of scenario analysis. View Full-Text
Keywords: land use; model; MOLAND; scenario; indicators; multi-criteria analysis; Z-score; opportunity mapping; decision making land use; model; MOLAND; scenario; indicators; multi-criteria analysis; Z-score; opportunity mapping; decision making
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Shahumyan, H.; Williams, B.; Petrov, L.; Foley, W. Regional Development Scenario Evaluation through Land Use Modelling and Opportunity Mapping. Land 2014, 3, 1180-1213.

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