Analysis of Urban Public Facilities in Direction of Spatial Justice by the Integrated Model of Access in Mashhad

Abstract:
Transition from the existing procedures for investigating spatial concentration of urban facilities in the form of formal limitations of municipality (districts and regions) as a unit of study and using the available and current quantitative techniques such as taxonomy, Morris index, entropy coefficient and correlation coefficient for analyzing spatial justice and presenting a new method for analyzing spatial distribution of urban facilities and its integrated access are of the main objectives of this research. In order to achieve this goal, while introducing and evaluating the efficiency of spatial autocorrelation modle, Moran’s index and G general statistics, by the help of Geographical Information System (Arc GIS) and Geo Data software, which enables the integrated analysis of spatial distribution of urban facilities, the analysis of spatial distribution and access to 12 types of urban public facilities which are scattered over 820 urban points over 12 regions and 51 districts of Mashad Municipality has been performed and the extent of integrated access to urban facilities have been analyzed by the above said models. The results obtained from this research indicates that based on Moran’s Index, I= 0.35, the spatial distribution and concentration pattern of urban facilities in Mashhad city is of cluster type of spots with low concentration (cold spot) and indicates the fact that areas with low access are concentrated adjacent to each other. Also the value of G general statistics is equal to zero and for Z, is equal to 76.74. The value of two variables Moran’s coefficient is equal to 0.08, which considering the regression line slope between the population density and the number of public facilities in Mashhad area, indicates a positive relationship and represents this fact that the areas with high value of facilities and more population are in conformity with each other. Although the value of Moran’s index is negligible but relatively confirms this fact.
Language:
Persian
Published:
Geography and Development Iranian Journal, Volume:9 Issue: 23, 2011
Page:
5
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