Abdolreza Kazeminia; Ali Esmaeily
Abstract
The purpose of this study is spatial analysis of green space and the best way to reach it in region 1 of Kerman. In this regard, using 4 qualitative evaluation matrices of desirability, compatibility, capacity and dependence )multi-criteria decision making methods) were applied to investigate ...
Read More
The purpose of this study is spatial analysis of green space and the best way to reach it in region 1 of Kerman. In this regard, using 4 qualitative evaluation matrices of desirability, compatibility, capacity and dependence )multi-criteria decision making methods) were applied to investigate the spatial distribution of green space uses in District 1 of Kerman. Research data were collected by documentary method with reference to relevant sources and organizations. Each of the four matrix criteria was ranked based on the Inversion hierarchical weight process method and then modeled in the GIS environment and by using analytical functions, a map of suitable locations was prepared to create green spaces in the area. The use of quadratic quality matrix criteria and their weight by inverse hierarchical analysis method along with the design of a geometric network is a way to access urban green spaces and also is one of the innovations of the present study. The results of the present study show total area of existing green spaces in district 1 of the Kerman city is about 54 ha that is insignificant compared with the district 1 the whole area. Based on quadratic quality matrices method, we proposed suitable locations to create new green spaces at about 106 ha. Broadly speaking, the spatial analysis of green space using the method of quadratic quality matrices and hierarchical reversal analysis shows 28. 7% very suitable location, 53. 4% suitable location, and 17. 9% unsuitable location.
