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Mapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin

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  • Bernadette Quinn
  • Kerry Schiel
  • Geoffrey Caruso

Abstract

This paper presents a method for determining and mapping suitable locations for development using Multi Criteria Analysis and the Analytical Hierarchy Process and considering uncertainties in the process. The method is applied to the case study of Howth (Dublin), where development suitability is assessed against specific protection and conservation areas as well as ground water vulnerability. Uncertainty is incorporated using a Monte Carlo simulation into the Analytical Hierarchy Process calculations to determine criteria weightings. A map is derived, which includes, for all locations, both site suitability for development and the level of uncertainty attached to this suitability. The map combines a double categorization of suitability and uncertainty. The method allows for increased transparency in decision making regarding site suitability for development, as well as increased confidence in decision making to allow for reduced risk in terms of the potential impact of development.

Suggested Citation

  • Bernadette Quinn & Kerry Schiel & Geoffrey Caruso, 2015. "Mapping uncertainty from multi-criteria analysis of land development suitability, the case of Howth, Dublin," Journal of Maps, Taylor & Francis Journals, vol. 11(3), pages 487-495, May.
  • Handle: RePEc:taf:tjomxx:v:11:y:2015:i:3:p:487-495
    DOI: 10.1080/17445647.2014.978907
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    Cited by:

    1. Zhiming Li & Zhengxi Fan & Shiguang Shen, 2018. "Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China," Sustainability, MDPI, vol. 10(8), pages 1-15, July.
    2. Małgorzata Fedorczak-Cisak & Anna Kotowicz & Elżbieta Radziszewska-Zielina & Bartłomiej Sroka & Tadeusz Tatara & Krzysztof Barnaś, 2020. "Multi-Criteria Optimisation of an Experimental Complex of Single-Family Nearly Zero-Energy Buildings," Energies, MDPI, vol. 13(7), pages 1-30, March.
    3. Shouqiang Yin & Jing Li & Jiaxin Liang & Kejing Jia & Zhen Yang & Yuan Wang, 2020. "Optimization of the Weighted Linear Combination Method for Agricultural Land Suitability Evaluation Considering Current Land Use and Regional Differences," Sustainability, MDPI, vol. 12(23), pages 1-25, December.

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