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A Way Forward for Land-Use Planning to Achieve Policy Goals by Using Spatial Modelling Scenarios

Author

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  • Christopher Pettit

    (Department of Geospatial Science, RMIT University, Melbourne 3001, Australia)

  • David Pullar

    (School and Geography, Planning and Architecture, University of Queensland, Queensland 4072, Australia)

Abstract

This paper investigates how demographic (socioeconomic) and land-use (physical and environmental) data can be integrated within a decision support framework to formulate and evaluate land-use planning scenarios. A case-study approach is undertaken with land-use planning scenarios for a rapidly growing coastal area in Australia, the Shire of Hervey Bay. The town and surrounding area require careful planning of the future urban growth between competing land uses. Three potential urban growth scenarios are put forth to address this issue. Scenario A (‘continued growth’) is based on existing socioeconomic trends. Scenario B (‘maximising rates base’) is derived using optimisation modelling of land-valuation data. Scenario C (‘sustainable development’) is derived using a number of social, economic, and environmental factors and assigning weightings of importance to each factor using a multiple criteria analysis approach. The land-use planning scenarios are presented through the use of maps and tables within a geographical information system, which delineate future possible land-use allocations up until 2021. The planning scenarios are evaluated by using a goal-achievement matrix approach. The matrix is constructed with a number of criteria derived from key policy objectives outlined in the regional growth management framework and town planning schemes. The authors of this paper examine the final efficiency scores calculated for each of the three planning scenarios and discuss the advantages and disadvantages of the three land-use modelling approaches used to formulate the final scenarios.

Suggested Citation

  • Christopher Pettit & David Pullar, 2004. "A Way Forward for Land-Use Planning to Achieve Policy Goals by Using Spatial Modelling Scenarios," Environment and Planning B, , vol. 31(2), pages 213-233, April.
    • Handle: RePEc:sae:envirb:v:31:y:2004:i:2:p:213-233
    DOI: 10.1068/b3024
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    References listed on IDEAS

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    1. John Stillwell & Stan Geertman & Stan Openshaw, 1999. "Developments in Geographical Information and Planning," Advances in Spatial Science, in: John Stillwell & Stan Geertman & Stan Openshaw (ed.), Geographical Information and Planning, chapter 1, pages 3-22, Springer.
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