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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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Analysis of land use change in Nazlou district of Urmia in the 2005-2018 time series
Abstract Population growth, increased prosperity, the spread of technology, and the improper use of land have in recent decades imposed many changes on land. Nazlou district in Urmia city has been exposed to many changes due to its favorable natural conditions, location in the development paths of Urmia-Cir and Urmia-Bazargan, establishment of numerous industrial estates and so on. So planning to manage these changes requires studying land use changes. The purpose of this study was to detect land use changes in Nazlou district in Urmia city using Landsat TM and OLI satellite images by Object Oriented Classification. Also, two methods of change detection and change intensity index in land use change monitoring were used to investigate the severity and trend of land use changes. This study was descriptive and analytical and data collection was done by documentary method. The survey showed that during the study period (2005-2018) of the total area of ​​77498.37 hectares, the total area under study was approximately 25981.56 ha (33.52%). The highest level of change in 2005 relates to the level of the horticulture, with its downward trend in 2018. In contrast, changes in rangeland and dryland land use have an increasing trend, respectively.
 

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The continuous and active presence of disciplinary centers has an important role in ensuring security and peace in cities.Therefore the fair and efficient distribution of law enforcement centers in urban areas is an important factor in meeting this basic need.Therefore, the present study aims to investigate the service of police stations on vulnerable areas of Urmia.The descriptive-analytical research method used in this study is applied.The results of the study show that the vulnerability zoning of the city of Urmia is in four categories from very high to very low. About 68 km2 of the whole area of the city is known to be highly vulnerable.Most of the northern (informal settlements of Region 2) and central (old districts of four region) settlements of Urmia are the most vulnerable areas due to the high density of population and housing,with most of the politically sensitive, commercial and administrative offices in these areas.The results of the network analysis based on standard time (12 minutes) indicate that the 28.9% (24 km2) of the Urmia Vulnerable Areas was not covered by the police stations.Within 12 minutes the police stations of Urmia city have quick access to 55 km2 of about 75 km2 area with high vulnerability and about 20 km2 of this area also without timely access. In terms of the police stations access to low vulnerability areas,the results also show that from about 15 km2 of these areas to 3 km2 have quick access, indicates that there is no quick access to these 12 km2