Volume 2, Issue 3 (6-2013)
serd 2013, 2(3): 93-113 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Ghadermarzi H, Jomeini D, Jamshidi A, Cheraghi R. The Analysis of Rural Spatial Imbalances the Rural Areas of in Kermansh Province. serd 2013; 2 (3) :93-113
URL: http://serd.khu.ac.ir/article-1-1579-en.html
URL: http://serd.khu.ac.ir/article-1-1579-en.html
1- Assistant Prof. in Geography, Kordestan University , davood.jamini@yahoo.com
2- M. A. in Geography and Rural Planning, Isfehan University
3- Ph. D. Student in Geography and Rural Planning, Isfehan University
4- M. A. in Geography and Urban Planning, Tarbiat Moddares University
2- M. A. in Geography and Rural Planning, Isfehan University
3- Ph. D. Student in Geography and Rural Planning, Isfehan University
4- M. A. in Geography and Urban Planning, Tarbiat Moddares University
Abstract: (14023 Views)
Optimum housing situation in both rural and urban areas is being considered as one of the social-economic indicators. Application of comprehensive and descent housing planning requires the identification and determination of different relevant dimensions and aspects. Using housing indicators and indices helps to evaluate the housing status which regional planning demands. These indices, which indicate both qualitative and quantitative aspects of housing, would be an effective guide regarding housing planning. This study aims to evaluate and investigate the rural housing status in Kermanshah using housing indicators .The research method is based on documentary as well as analytical one .Relevant data obtained from 1385- population survey. This study supports the application of 34 indicators and indices. The analysis of this study further requires the application of spss and topsis techniques .It further demands clustering technique as well as Arc-Gis. This study suggests that there exist three homogeneous clusters. Kangavar and Harseen stand at the top as opposed to Dalahoo, Eslamabade- Qarb, Paveh, Ravansar, Gilan-e- Qarb and Javanrood which rank the lowest accordingly.
Keywords: Spatial analysis, Topsis model, Clustering analysis, Housing Indices, Rural areas, Kermanshah
Type of Study: Research |
Accepted: 2017/10/5
Accepted: 2017/10/5
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
