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Proceedings of the International Academy of Ecology and Environmental Sciences, 2024, 14(2): 75-85
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Article

Identification and comparison criteria and sub-criteria for siting urban forest parks

Leila Ooshaksaraie
Department of Environmental Engineering, Lahijan Branch, Islamic Azad University, Lahijan, Iran

Received 17 March 2024;Accepted 14 April 2024;Published online 25 April 2024;Published 1 June 2024
IAEES

Abstract
Increasing urbanization and population take humans away from environment. Consequently, siting public green spaces necessitates social requirements. The scientific siting of public green spaces is critical for sustainable urban environment development, therefore this study aimed to identify suitable criteria and subcriteria for siting urban forest parks. Accordingly, criteria and sub-criteria for siting urban forest parks were defined by reviewing previous studies and experts' opinion. The criteria and sub-criteria were identified using Delphi technique, random sampling, and then the questionnaires were designed. The questionnaires were filled by 10 experts and their consistencies were assessed by the Super Decision software. In this study, Multicriteria decision analysis was used for appointing importance of effective criteria and sub-criteria on siting suitable urban forest. For this purpose, determinant criteria and sub-criteria were weighted in Analytical Hierarchy Process, and pairwise comparison was conducted. The results of important criteria weighing process for selecting suitable forest park location showed that environmental, natural, biological community, landscape, sociocultural, economic, physical, and accessible with the weight of 0.41, 0.17, 0.11, 0.101, 0.063, 0.061, 0.052, and 0.033 were placed in priorities respectively. The most important sub-criteria related to natural, physical, landscape, biological community, environmental, accessible, sociocultural, and economic criteria were precipitation, slope, waterfalls, forest diversity, noise pollution, distance to roads, security, land ownership by weight of 0.675, 0.67, 0.749, 0.578, 0.37, 0.424, 0.674, 0.461 respectively.

Keywords urban forest park;multi-criteria decision analysis;Analytical Hierarchy Process;pairwise comparison;Delphi technique;Super Decision software.



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