Aliyeh Kazemi; Parichehr Nouri; Sara Aryaee
Abstract
Increasing demand for energy due to population growth and global warming has led to numerous environmental issues such as deforestation, destruction of the ozone layer, drought, storms, and floods. These have encouraged researchers to seek new ways to use clean, renewable energies. The construction of ...
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Increasing demand for energy due to population growth and global warming has led to numerous environmental issues such as deforestation, destruction of the ozone layer, drought, storms, and floods. These have encouraged researchers to seek new ways to use clean, renewable energies. The construction of Zero Energy buildings in Iran cities can be a significant step forward in economic development and pollution reduction in metropolitan areas. This study aims to identify and prioritize suitable cities in Iran to build Zero Energy buildings. For this purpose, the fuzzy Delphi and multi-attribute decision-making (MADM) methods have been used. The cities that are suitable for the construction of zero-energy buildings were selected through interviews with individuals who are experts in the fields of architecture, urban planning, and energy management and who are familiar with the construction of Zero Energy buildings, as well as considering the results of previous research and the characteristics of different cities. Then, with the fuzzy Delphi method, the necessary indicators for the priority of the selected cities were determined, and their weight was determined. After that, the cities were prioritized using MADM methods. The results showed that Yasuj, Shiraz, Tabriz, and Arak are suitable cities to build Zero Energy buildings in Iran.
Saeedeh Shahbazin
Abstract
Internal migration is a mechanisms to adjustment with regional socioeconomic differences and an important basis for planning, but received less attention in demographic literature. Migration is affected by a complex factors of determination that requires some powerful tools to investigating. Gravity ...
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Internal migration is a mechanisms to adjustment with regional socioeconomic differences and an important basis for planning, but received less attention in demographic literature. Migration is affected by a complex factors of determination that requires some powerful tools to investigating. Gravity model is one of the most important tools that examines these factors with two pure and generalized approaches. The purpose of this article is investigating these factors in Iran based on this model. The required data include the number of inter-provincial migrations and socio-economic variables obtained from the 2016 census of the Statistics Center of Iran and selected based on previous studies. The results showed that the pure gravity model can explain 69% of inter-provincial migration, while in the generalized model this reached 91%. In general, the social network factor and then the distance have the greatest impact on regional migration. Analysis of the effect of push and pull factors showed that push factors are able to explain 53% and pull factors 39% of the migration volume between the two provinces. Therefore, according to the gravity model of inter-provincial migration in Iran, the role of push factors is more than pull factors. As a result, the only way to moderate inter-regional migration would be to create services and facilities for less developed regions and reduce regional differences.
