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Showing 4 results for Soleymani

Afshar Hatami, Farzaneh Sasanpour, Alberto Ziparo, Mohammad Soleymani,
Volume 21, Issue 60 (3-2021)
Abstract

Increased urbanization, population growth and socio-economic and environmental problems besides growth and development of ICT at the global level are the sign of the 21st century. The contradiction between economic growth and environmental protection, encountering ultra-modern citizens with industrial cities and lack of responsibility to current citizens has led to a smart sustainable city that thanks to ICT such as IoT following to solve mentioned problems. This paper beside introducing smart sustainable approach as a counterpoint to Neoliberal approach, assessing emergence, evolution, aspects, indices, and differences between similar approaches like smart city. This research from the view of aim is basic research and from the view of nature and research method is descriptive analytic one. The results of the research indicate that also there is no universal definition of smart sustainable city, but there is an agreement on the final goal to obtain sustainable development. The reason for this necessity is the third wave of sustainability and crisis of social, economic and environmental challenges in the context of the cities. Also, primary focus of these definitions is equity and social inclusiveness, quality of life, efficiency, flexible infrastructure, ICT and environment protection. Furthermore, there was such a futuristic gap in the definition of smart sustainable city that a new definition presented based on future study approach. In contrast to similar approaches, the core of the smart sustainable city is ICT and environment protection. Also, results shows that for implementation of this aprroah inaddtion to use theory of change, future study and systems theory, should consider the slogan of “think globaly and act localy” and localization of smart sustainable approach based on social, economic, political and futuristic condition of Iranian metropolises.
 
Mrs Zahra Soleymani, Dr Maryam Ghasemi,
Volume 24, Issue 72 (3-2024)
Abstract

Return migration is a reaction to the attractiveness of rural areas. This type of migration can have many and varied effects on rural area reconstruction. The purpose of this study was to identify and analyze the effects of return migration on the reconstruction of rural settlements in Neyshabur. The research method is descriptive-analytic and a questionnaire based.  In this study, 37 villages in Neyshabur that had returning migrants were surveyed. And 55 effects of returning migrants on rural areas reconstruction were identified, that the Cronbach's alpha coefficient of 0.942 indicates the optimal reliability of the research instrument. The indices were evaluated under three social dimensions with 18 indices (α = 0.925), economic with 21 indices (α = 0.891) and physical-environmental with 16 indices (α = 0.852). Exploratory factor analysis was used because t-test showed that there isn't significant difference between the three dimensions except social dimension. The results showed that 55 effects identified return migration can be classified as 14 main effects with 78.79% variance.  Accordingly, 1- increasing cohesion and solidarity among residents with 25.21% of variance, 2- improving service and welfare infrastructure with10.52% of variance, 3- boosting rural economy with7% of variance, 4- activating of capacities with 5.4% of variance, 5- developing Non-farming activities with 5% variance are the most important effects of return migration on the reconstruction of rural settlements.
Dr Rahimberdi Annamoradnejad, Mr Mohamad Soleymani, Mrs Fatemeh Akbari,
Volume 24, Issue 75 (12-2024)
Abstract

Today, housing has found a concept beyond a shelter and plays an important role in how the physical quality of cities. In fact, one of the most important ways to know the status of housing in the housing planning process is to use housing indicators. These indicators, which indicate the quantitative and qualitative status of housing in any period of time, can be considered as a suitable guide to improve housing planning for the future. Therefore, the present study was conducted with the aim of leveling the neighborhoods of Bojnourd city based on housing indicators. The research is descriptive-analytical in nature and applied according to its purpose. The method of collecting information in the form of documents is library. In this study, 11 indicators related to housing quality were used to rank neighborhoods, and the Waspas model was used to rank neighborhoods. The statistical population of the study includes 42 neighborhoods of Bojnourd. Based on the results, it was found that half of the neighborhoods (22 neighborhoods) of Bojnourd  are in a favorable and completely desirable housing condition, in contrast to 28% of the city neighborhoods are in a relatively favorable condition that the number of population at this level is equal to It is 31% of the total population of the city. Finally, there is the unfavorable housing situation, which includes 8 neighborhoods of the city. The total population of these neighborhoods is equal to 17% of the city's population, which is located in an area of ​​973 hectares.
Dr Abolhassan Gheibi, Mr Ali Soleymani, Hossein Malakooti,
Volume 25, Issue 76 (3-2025)
Abstract

Nitrogen dioxide is a significant factor affecting air quality in various regions worldwide. The aim of this study is to examine the concentration and trends of nitrogen dioxide pollution between 2005 and 2018, and explore its association with precipitation levels in the region. Based on data derived from the OMI sensor in Iran, the average vertical column concentration of nitrogen dioxide during this period revealed that the highest concentration was observed in the troposphere. Megacities, particularly Tehran metropolis, exhibited elevated levels of nitrogen dioxide due to the high population density and extensive road transportation. Analyzing the annual changes in nitrogen dioxide concentration in the troposphere alongside the average annual precipitation in Iran, it was observed that the pollutant concentration increased from 2005 to 2016 and subsequently decreased from 2016 to 2018, primarily due to population growth. However, when considering the overall trend, there was an upward trend with a slope of 3.53× -2. In contrast, the time series analysis of average annual precipitation in Iran demonstrated a declining trend with a slope of (-0.159 mm × ). Comparing the trends of these two variables, it can be deduced that they exhibit a negative correlation.


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