Volume 22, Issue 65 (6-2022)                   jgs 2022, 22(65): 137-156 | Back to browse issues page


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kamali E, samandari O, sarhadi M. (2022). Future studies on identifying potential land for urban development using GIS (Case study: Kerman city). jgs. 22(65), 137-156. doi:10.52547/jgs.22.65.137
URL: http://jgs.khu.ac.ir/article-1-3450-en.html
1- Master of Geography and Urban Planning, Isfahan University, Iran, تهران
2- Master of Geography and Urban Planning, Kerman Governorate, Iran
3- Master of Geography and Urban Planning, Welfare Organization, Amberabad Labor and Social Affairs, Kerman, Iran
Abstract:   (5889 Views)
Assessment of the land's capacity for urban development in the sense of objectifying the potential of the land is among the expected and executable applications. On the other hand, increasing urban population, followed by the growth of cities, due to the expansion of urban development makes moving toward the principles of sustainable development an indispensable act. Kerman as one of Iran's major cities encountering with limited natural and human development, is not an exception. Thus, it is essential to take into account its development structure. This study aims to identify the fertile lands for future development of the city of Kerman. This study is functional in nature and purpose and descriptive-analytic in methodology. In order to achieve the purpose of the study, the method of fuzzy Analytic Hierarchy Process (AHP) and Boolean was employed, and finally by combination of maps, appropriate lands for future development of Kerman were identified. The results of this study showed that the lands located in South, Southwest, and North and northwest of the city of Kerman are in a better position for future development compared to other parts of the city.
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Type of Study: Research | Subject: Geography and Urban Planning

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
This work is licensed under a Creative Commons — Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)