Application of Mairca Technique in Land Use Percapita Analysis of Small Cities (Case Study: Basht City)

Document Type : Research Paper

Author

Professor Assistance of Geography and Urban Planning, Yasouj University, Iran.

Abstract

Urban land use is one of the important issues in urban planning, so that currently the proper analysis of urban land use is one of the important strategies to achieve urban sustainable development and service uses to a large extent quality of life and welfare they overshadow man. The present study tries to analyze the selected land use indicators in the neighborhood units of Basht city in Kohgiluyeh and Boyer-Ahmad provinces, which are among the small cities of the country, using the new multi-criteria Mairca technique. The research is quantitative and analytical and the data required for the research have been collected through a comprehensive and detailed plan of Basht city. Using Mairca technique and calculating the total final values ​​of the total gap, the situation of the neighborhood units of Basht city in terms of urban land use in 2020 has been investigated. The scores obtained from the model show that the two neighborhood units are in the best position with a score of (0.0520). Neighborhood unit one with a score (0.0886) and neighborhood unit three with a score (0.1201) are in relatively good condition. The results of applying Mairca technique show that the neighborhood unit of five with a score of (0.1414), the neighborhood unit of six with a score of (0.1600) and the neighborhood unit of four with a score of (0.1642) are not in a good situation. The total area of neighborhood two, in which the neighborhood unit four is located, is 63.8 hectares, which constitutes 17.6% of the texture of this city. 99.7% of the texture is occupied by residential lands, so that its existing per capita figure for residential use with It is 56 square meters per person, which is close to the desired per capita. This neighborhood has shortcomings in terms of service uses. So this neighborhood does not have enough kindergartens, children's parks, sports-recreational and commercial. 

Keywords


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