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Paper Information

Journal:   JOURNAL OF REGIONAL PLANNING   Spring 2019 , Volume 9 , Number 33 #R00467; Page(s) 55 To 71.

Measurement the Development Levels of Kerman Province Counties by Integration Technique

Author(s):  SHAHDADI A.*, SOJASI QEIDARI H., MIRZADE KOUHSHAHI M., Beyoon o., Hosseinikahnooj s.r.
* University of Jiroft
The rapid growth of population and the physical development of the regions has always made the distribution of public services difficult. This has led to the spatial imbalance of the regions over time. Accordingly, the purpose of this study is to measure the development level of the cities of Kerman province in two periods between 2011 and 2015. The governing approach to this research is descriptive and analytical and its nature is applicable. For this purpose, relevant statistical data were obtained from relevant organizations. The expert-centered questionnaire was used to measure the data. In this research, the population centers of Kerman province were based on 48 components in the form of eight general indicators (health, educational, cultural, demographic, employment, infrastructure, urban services, agriculture and livestock) using the multi-criteria decision making model of Topsis. To measure the composite weights of research indices, we used Vicker and AHPF models. Finally, the integration method was used to combine the above models. Comparison of the status of population centers in Kerman province during the 2011-2015 period in terms of development status indicates that all the population centers in the province during the two periods have not been significantly changed and remain at the same level. Among these, only Zarand is the city which in 2011 was based on the weight obtained in two fuzzy models (0. 045) and VIKOR (0. 811) at undesirable levels and in 2015 it was ranked relatively favorable and with a fuzzy weight ( 0. 042) and the weight of the wiker (0. 799). In the end, the integration model has been used to eliminate the differences in the rankings in these models and to combine the weighting methods. The results of this model show that the demarcation of Kerman province is at different levels. So that Kerman, Jiroft and Rafsanjan population centers are ranked first to third without any changes in both periods of time at a high level, and the cities of Fahraj, Narmashir, Reagan and Ghalegaran are the most deprived areas.
Keyword(s): Spatial Inequality,Development,Regional Balance,Kerman Province,Integration Model
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