Locating Urban Green Space Using Network Analysis Process

The location of green space depends on factors such as existing green space criteria, population density, communication network, access to unused land and other uses. For this purpose, weights were applied to the relevant layers and the model was extracted using the Network Analysis Process (ANP) and Geographic Information System (GIS). For zoning the vacant lots, the zones were divided into three categories of low, medium and high utility. Medium utility with 45.45% of the land area is in the first category and high and low utility respectively. In the ANP method, the criteria were organized into four clusters of utility, comfort, demographic, and neighborhood. In this method, proximity to residential centers and distance from existing parks with coefficients of 0.319 and 0.193, respectively, have the highest importance and indices of land dimensions and accessibility with coefficients of 0.006 and 0.017, respectively. The least importance was assigned to the decision-making process for identifying suitable zones of Jahrom. Based on the results, the best locations for future parks are the Southern and Eastern Bay Area in Area Two and the Southwest and Northeast Bay Area in Area Three of the study area.

Keywords:

Urban Green Space Location , Multi-criteria Decision Making , ANP , GIS.