Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region)
Quality of life is one of the important issues that was first brought to the attention of scholars by the extensive development of technology and industrialization process in the Western countries, and it is increasingly being studied in this field, and this is important due to the increasing increa...
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Kharazmi University
2022-12-01
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Series: | تحقیقات کاربردی علوم جغرافیایی |
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Online Access: | http://jgs.khu.ac.ir/article-1-3310-en.pdf |
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author | ali khedmatzadeh Bakhtaran Feizizadeh |
author_facet | ali khedmatzadeh Bakhtaran Feizizadeh |
author_sort | ali khedmatzadeh |
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description | Quality of life is one of the important issues that was first brought to the attention of scholars by the extensive development of technology and industrialization process in the Western countries, and it is increasingly being studied in this field, and this is important due to the increasing increase in quality of life studies in public policy monitoring. Quality of life can be used as a powerful tool for monitoring community development planning. The existence of spatial and spatial inequalities in the city has caused many problems, including the weakness of resources, inappropriate housing, the problems and damage caused by social inequalities, and undermined the quality of life. In this research, that of terms methodological, descriptive-analytic and in terms of purpose, it is functional used the statistics blocks of Urmia, in the census of 1395, and remote sensing data in combination with GIS have been to understand the quality of life in the 5 regions of Urmia. The criteria defined in this research are in 4 sections: social (including 9 sub-criteria), access to public services (5 sub-criteria), physical (4 sub-criteria), natural (4 sub-criteria), which are based on decision analysis Multi-criteria and integration of layers in the GIS environment. Weights obtained for social dimensions, access to public, natural and physical services derived from network analysis model are respectively 0.506, 0.323, 0.116 and 0.055. The results show that as far as the southwest is moving along the northeastern part of the city, blocks that have a better quality of life are rising. In the urban regions of the region 2, quality of life is more favorable than other urban regions. The results of such studies can help urban planners to better understand and prioritize urban issues as a dynamic environment. |
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id | doaj-art-2435fa6a34d44242a57c240c1f1288ee |
institution | Kabale University |
issn | 2228-7736 2588-5138 |
language | fas |
publishDate | 2022-12-01 |
publisher | Kharazmi University |
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series | تحقیقات کاربردی علوم جغرافیایی |
spelling | doaj-art-2435fa6a34d44242a57c240c1f1288ee2025-01-31T17:29:35ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382022-12-012267259279Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region)ali khedmatzadeh0Bakhtaran Feizizadeh1 MSC remote sensing and GIS, Department of Remote sensing and GIS, University of Tabriz Associated professor in department of remote sensing and GIS, University of Tabriz, Iran Quality of life is one of the important issues that was first brought to the attention of scholars by the extensive development of technology and industrialization process in the Western countries, and it is increasingly being studied in this field, and this is important due to the increasing increase in quality of life studies in public policy monitoring. Quality of life can be used as a powerful tool for monitoring community development planning. The existence of spatial and spatial inequalities in the city has caused many problems, including the weakness of resources, inappropriate housing, the problems and damage caused by social inequalities, and undermined the quality of life. In this research, that of terms methodological, descriptive-analytic and in terms of purpose, it is functional used the statistics blocks of Urmia, in the census of 1395, and remote sensing data in combination with GIS have been to understand the quality of life in the 5 regions of Urmia. The criteria defined in this research are in 4 sections: social (including 9 sub-criteria), access to public services (5 sub-criteria), physical (4 sub-criteria), natural (4 sub-criteria), which are based on decision analysis Multi-criteria and integration of layers in the GIS environment. Weights obtained for social dimensions, access to public, natural and physical services derived from network analysis model are respectively 0.506, 0.323, 0.116 and 0.055. The results show that as far as the southwest is moving along the northeastern part of the city, blocks that have a better quality of life are rising. In the urban regions of the region 2, quality of life is more favorable than other urban regions. The results of such studies can help urban planners to better understand and prioritize urban issues as a dynamic environment.http://jgs.khu.ac.ir/article-1-3310-en.pdfquality of lifeurmia cityspatial analysisgisfanp |
spellingShingle | ali khedmatzadeh Bakhtaran Feizizadeh Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region) تحقیقات کاربردی علوم جغرافیایی quality of life urmia city spatial analysis gis fanp |
title | Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region) |
title_full | Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region) |
title_fullStr | Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region) |
title_full_unstemmed | Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region) |
title_short | Assessing urban quality of life using remote sensing and GIS (Case study: Urmia Urban Region) |
title_sort | assessing urban quality of life using remote sensing and gis case study urmia urban region |
topic | quality of life urmia city spatial analysis gis fanp |
url | http://jgs.khu.ac.ir/article-1-3310-en.pdf |
work_keys_str_mv | AT alikhedmatzadeh assessingurbanqualityoflifeusingremotesensingandgiscasestudyurmiaurbanregion AT bakhtaranfeizizadeh assessingurbanqualityoflifeusingremotesensingandgiscasestudyurmiaurbanregion |