Selection of appropriate criteria in urban forestry (Case study: Isfahan city, Iran)
Z. Mohammadi and
Soleiman Mohammadi Limaei ()
Additional contact information
Z. Mohammadi: Faculty of Natural Resources, University of Guilan, Someh Sara, Iran
Journal of Forest Science, 2014, vol. 60, issue 12, 487-494
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.
Keywords: AHP; multi-criteria decision making (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://jfs.agriculturejournals.cz/doi/10.17221/65/2014-JFS.html (text/html)
http://jfs.agriculturejournals.cz/doi/10.17221/65/2014-JFS.pdf (application/pdf)
free of charge
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:caa:jnljfs:v:60:y:2014:i:12:id:65-2014-jfs
DOI: 10.17221/65/2014-JFS
Access Statistics for this article
Journal of Forest Science is currently edited by Mgr. Ilona Procházková
More articles in Journal of Forest Science from Czech Academy of Agricultural Sciences
Bibliographic data for series maintained by Ivo Andrle ().