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Selection of appropriate criteria in urban forestry (Case study: Isfahan city, Iran)

Author

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  • Z. Mohammadi

    (Faculty of Natural Resources, University of Guilan, Someh Sara, Iran)

  • S. Mohammadi Limaei

    (Faculty of Natural Resources, University of Guilan, Someh Sara, Iran)

Abstract

The aim of this study is to select appropriate criteria such as ecology, economy, social and aesthetic for plantation in Isfahan city, Iran. In order to do this research, 19 questionnaires were distributed among the experts at the study area in 2013. Analytical Hierarchy Process (AHP) technique as a multi-criteria decision making was used for evaluation of urban forestry at this research. Expert Choice software was used for analysis. The results showed that the ecological criterion has the highest weight for urban forestry at Isfahan city and the aesthetic criterion has the lowest priority for urban forestry at the study area. According to the judgments of the decision makers, results also showed that the large parks have the highest priority for urban forestry and street margins have the lowest priority for urban forestry and green space.

Suggested Citation

  • Z. Mohammadi & S. Mohammadi Limaei, 2014. "Selection of appropriate criteria in urban forestry (Case study: Isfahan city, Iran)," Journal of Forest Science, Czech Academy of Agricultural Sciences, vol. 60(12), pages 487-494.
  • Handle: RePEc:caa:jnljfs:v:60:y:2014:i:12:id:65-2014-jfs
    DOI: 10.17221/65/2014-JFS
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    References listed on IDEAS

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    1. Kurttila, Mikko & Pesonen, Mauno & Kangas, Jyrki & Kajanus, Miika, 2000. "Utilizing the analytic hierarchy process (AHP) in SWOT analysis -- a hybrid method and its application to a forest-certification case," Forest Policy and Economics, Elsevier, vol. 1(1), pages 41-52, May.
    2. Fatemeh Zahedi, 1986. "The Analytic Hierarchy Process---A Survey of the Method and its Applications," Interfaces, INFORMS, vol. 16(4), pages 96-108, August.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
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