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Showing 3 results for Abdollahzadeh Tarf

Ruhollah Namaki, Akbar Abdollahzadeh Tarf, Hassan Sattari Sarbangholi,
Volume 0, Issue 0 (3-1921)
Abstract

Air pollution and adverse effects of pollution caused by the combustion of fossil fuels in urban settlements are among the important environmental issues of metropolises that need to pay attention to ways to reduce air pollution in cities. Global experience has shown that urban form indicators are one of the most important factors affecting air pollution and energy consumption in the city. Therefore, paying attention to the form of the city plays an important role in the long-term perspective of cities for better air quality. The present study is applied in terms of purpose and descriptive-analytical in terms of method. In order to collect the required data and information, library and documentary methods have been used. To analyze the data and answer the research questions, the Moran statistical technique was used in the GIS software environment. The results of this study showed that the air pollution situation in Tabriz in terms of air pollutants, ie sulfur dioxide, nitrogen dioxide, carbon monoxide in the second half of the year is more than the first half of the year, so that among the air monitoring stations The field had the highest number of air pollution. Also, the results of the study of the effect of urban form and land use pattern on air pollution showed that urban form and land use are effective on air pollution.
, Dariush Sattarzadeh, Lida Balilan, Akbar Abdollahzadeh Tarf, Mahsa Faramarzi Main,
Volume 0, Issue 0 (3-1921)
Abstract

 
Abstract
Providing suitable urban spaces, especially open and natural spaces, has an undeniable effect on achieving health-oriented cities and especially ensuring the mental health of citizens. The aim of this study was to investigate and explain the effect of social indicators of public spaces on the mental health of citizens. This research is applied in terms of purpose type and descriptive-analytical method. A survey method (questionnaire) was used to collect research data. The statistical population of the study was the residents of Ardabil. The sample size was estimated to be 384 using the Cochran's formula. The research hypotheses were tested through structural equations using Amos software. The results showed that social factors have a positive and significant effect on the mental health of citizens in public spaces of the city. The value of the path coefficient obtained for the effect of the social factor on the mental health of citizens is equal to 0.52 so that this factor is able to predict 0.27 of the variance of the dependent variable, ie the mental health of citizens. The results also showed that social indicators, namely security, social relations and sociability of urban public spaces have a positive and significant effect on the mental health of citizens. Among social indicators, security index has the highest coefficient of path.

 
 
 
Elmira Azimi, Dariush Sattarzadeh, Lida Bolillan, Akbar Abdollahzadeh Tarf, Mahsa Faramarzi Asli,
Volume 20, Issue 59 (12-2020)
Abstract

The prevalence of chronic health problems is increasing, both in terms of physical health and mental health in modern societies. Meanwhile, the health of individuals in society as human capital is important in advancing the goals of thematic communities. The aim of this study was to investigate the role of physical-environmental factors on the mental health of citizens. This research is applied in terms of purpose and descriptive-analytical method. The statistical population of citizens living in Ardabil was estimated to be 384 using the Cochranchr('39')s formula. The field data collection tool was a researcher-made questionnaire whose validity was confirmed by formal validity and reliability using Cronbachchr('39')s alpha test and combined reliability. The results of this study showed that legibility and visual quality, access to urban green space, security of urban space, quality of urban furniture, mixing and variety of uses have a positive and significant effect on the mental health of citizens. Considering the value of the path coefficient obtained for the independent research variables, among the identified variables, the quality of urban green space with the path coefficient value of 0.44 had the highest path coefficient and had the greatest effect on the dependent variable, ie mental health of citizens. Also, the mixing variable and the variety of uses with a path coefficient value of 0.21 had the least effect on mental health.

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