Indexing

Introduction of a Method for Locating New Urban Forest Parks using Multi-criteria Analysis and GIS Approaches

Author: M. Ghorbani* and A. Fakur**

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Abstract

Urban parks and green spaces are one of the applications that their distributions are very important in the city. Accordingly, the necessity of constructing green spaces including parks and urban forest and selecting new locations for plantations in cities are coming vital. The multi-criteria analysis comprises three steps including initial selection stage, suitability stage and feasibility stage. In the initial selection stage, the possible areas for urban forest parks are evaluated and the areas which takes the suitable points are selected for the next stage. The criteria are weighted by experts before they ranked in the next stage. Afterwards, the regions with the highest score and suitability are entered in feasibility stage and evaluated. Finally, the areas with the highest scores are selected for the construction of urban forest parks. MCA flexibility in setting the criteria for each area based on the conditions and characteristics of the area is important.

Keywords

urban forest parks, urban forestry, locating, multi-criteria analysis (MCA), urban planning.

Conclusion

Suitability techniques are essential for consciously decision making and empowering the local planners and decision makers to analyze the important interactions. Multi-criteria analysis is a flexible and practical way to facilitate the process of selecting suitable for the urban forest parks establishment. The input information from local experts and survey of citizens to choose the criteria on multi-criteria analysis and also the use of local experts to determine weighting coefficients, provide a model that could be used to adapt for different cities to create a multi-criteria analysis for urban forest parks locally.

References

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How to cite this article

M. Ghorbani and A. Fakur (2016). Introduction of a Method for Locating New Urban Forest Parks using Multi-criteria Analysis and GIS Approaches ,Biological Forum – An International Journal 8(1): 345-350.