Mohammadmahdi Sharifinia; mohammad hosseinpour; ali soltaani
Abstract
Social interactions are a significant indicator of citizens' quality of life, health, well-being, and happiness, and their social satisfaction leads to life satisfaction. Currently, it is believed that the level of social interactions in cities has decreased in recent years, and this issue has negatively ...
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Social interactions are a significant indicator of citizens' quality of life, health, well-being, and happiness, and their social satisfaction leads to life satisfaction. Currently, it is believed that the level of social interactions in cities has decreased in recent years, and this issue has negatively affected the physical and mental health of citizens. Therefore, urban planners and designers are compelled to provide solutions to improve this situation. On the other hand, the physical structure of cities acts as a platform for social activities and has a direct relationship with the social life of citizens. In line with the mentioned factors, the present study aims to investigate the relationship between the physical and spatial structure of the city and the level of social interactions among its residents. In this research, indicators have been used to evaluate the two main criteria: the physical structure of urban neighborhoods and social interactions. ArcGIS Pro software analyzes the physical structure of neighborhoods based on density, land-use mix, access to essential services, and access to public transportation stations. To measure the level of social interaction among residents, questionnaires were collected and analyzed using SPSS software, and finally, the relationship between these two criteria and their impact on each other was examined. The results of these analyses and the investigations conducted on the considered indicators show a positive correlation between social interactions and the indicators of density and access to public transportation, and no significant correlation with other indicators of the physical structure
mohamadreza rezvani; hossein mansourian; mehrdad mahmoudian zamaneh; Razieh Heydarian Mohammadabadi
Volume 1, Issue 3 , September 2013, , Pages 37-48
Abstract
Unemployment is a fundamental issue in world economy so that increase in employment and decrease in unemployment is an important indicator about of development. Iran not alone suffers from high unemployment rate but also the spatial distribution of unemployment rate is very solicitous. These papers with ...
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Unemployment is a fundamental issue in world economy so that increase in employment and decrease in unemployment is an important indicator about of development. Iran not alone suffers from high unemployment rate but also the spatial distribution of unemployment rate is very solicitous. These papers with emphasis on exploratory spatial data analysis investigate the spatial distribution of unemployment rate in urban and rural areas with using data of census 2011. Results of exploratory spatial data analysis indicate clustering (positive spatial autocorrelation) and spatial heterogeneous in spatial distribution of urban and rural unemployment in Iran's counties. Therefore results of this paper can provide context for proper planning in order to obviation regional inequality in unemployment rate in Iran.
