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Majid Yasoori, Seyedeh Fatemeh Emami,
Volume 18, Issue 48 (3-2018)
Abstract

The current study was conducted to investigate and explain poverty in Saravan village in Rasht city. In this research, survey method and structural equation modeling were used to present a model of based on results of the census in 2011, the number of villages in this district was 7 villages and the number of households was 4283 households. Morgan table was used to determine the sample size of the family heads living in rural areas of Saravan. Finally, 351 questionnaires were selected for family heads, which it was increased to 370 to obtain better results of the questionnaires. The results of a single sample T test indicate that the social and political indices are at good status. However, the T-value of the economic dimension is at the poverty status. The main reason for the poor status of this index is adequate consumption of fruits and vegetables in the household food plan, the inadequacy of housing space for children and the vulnerability of residential against earthquakes and accidents, and the sale of products indirectly through middlemen. It has caused respondents to consider lower scores for this index. According to the findings, the factor load of all items is confirmed in the social, economic and political dimensions.
 

Ahmad Pourahmad, Nabi Moradpour, Hossen Hataminejad,
Volume 18, Issue 51 (6-2018)
Abstract

This study examined the effect of physical dimensions - space to encourage walking in Tehran. Micro level and macro level of the position of the subject matter, the authors were forced to Amirabad area of Tehran University as an area of study of their choice. The research method is analytical and survey. And the questionnaire for citizens was used. The population of the study, all residents of the neighborhood Amirabad and up Tehran University, using a sample of 384 randomly selected examples. The writers for more accurate research results, the sample size has been increased to 400. For data analysis software is used SPSS21 and LISREL8. The results indicate that the physical dimensions - space and encourage walking there. The amount of factor loadings obtained in all the research indicates that the selected indicators to measure the physical dimensions of space, encourage walking properly measure these dimensions, so that the physical dimensions, safety index (99/0 ) and the spatial dimensions of the security indicator (75/0) have had the highest amount of loadings. In addition, the effect of spatial scale on a direct and positive are encouraged to walk in space as well as the physical dimensions of 34/0 and 42/0 of variance explained that encourage walking.


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