Evaluation and Analysis of Social Security Indicators in Provinces of Iran

Subject Areas : Regional Planning

Mojtaba Rafiean ¹ , asmail piri ² , saman Heidary ³ , bagher ahmadi ⁴

1 - Associate Professor, Department of Urban Planning, Tarbiat Modares University, Tehran, Iran.
2 - Master of Urban Planning, Allameh Tabatabaei University, Tehran, Iran.
3 - PhD student in Geography and Urban Planning, Kharazmi University, Tehran, Iran.
4 - Master of Geography and Urban Planning, Kerman University, Kerman, Iran.

Received: 2019-11-27 Accepted : 2020-04-07 Published : 2022-02-20

Keywords: GIS, AHP, Social security, social problems,

Abstract :

Social security is one of the most important concepts in today's world and in many political, social and economic issues. This concept is one of the most basic needs of any society and needs social security in order for human beings to grow and prosper, and consequently to have a dynamic and lively society, as well as to be in the path of development of that society. The aim of this study is to compare and evaluate the level of social security indicators in different provinces of the country. The research is descriptive-analytical in terms of method and practical in terms of purpose. Raw data related to the Social Security Index have been extracted from the Statistical Yearbook (1394) of the Statistics Center of Iran. Social security indicators were evaluated with the help of 12 experts by hierarchical analysis (AHP) method and then prioritized using Expert Choice software and finally the results were shown spatially and in the form of a map in Arc GIS software. The results show that Qazvin, Kurdistan and Alborz provinces have the highest level of social security, respectively, while Semnan, Qom and Chaharmahal and Bakhtiari provinces have the lowest level of social security. This result indicates that the level of social security indicators in different provinces of the country is different, which can be a good guide for more appropriate planning for managers and decision makers to improve the level of social security and reduce the level of social harm indicators.

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