Showing 4 results for Mahmoudi
Professor Keramat Ollah Ziari, Mr Amin Mahmoudiazar, Mr Khalil Jangjoo, Leila Aslani,
Volume 0, Issue 0 (3-1921)
Abstract
One of the issues raised in the developing countries of the world is the issue of reducing damages caused by natural and man-made hazards. Various theories and paradigms such as crisis management and resilience have been proposed to reduce the level of risk vulnerability. Among the mentioned vulnerabilities is physical vulnerability. Now, the most important question that is raised in this research is whether according to the various studies that have been done in the field of physical vulnerability, apart from objective measures, the level of satisfaction of the residents has also been examined and whether it exists. Is there a relationship between objective and subjective indicators in this field? The case study studied in this research is Region 4 of Urmia City, which has a problematic context. This research is of an applied type and its method is descriptive-analytical, to examine this objective and subjective relationship of physical vulnerability, first objective variables were examined using spatial analysis and then subjective variables were examined using a Likert scale. questionnaire. And finally, this relationship has been measured using Pearson's correlation coefficient. The research results indicate that according to the correlation coefficient of 0.623 between subjective and objective variables; There is a significant relationship between the objective view (reality on the ground) and the subjective view (satisfaction of residents) in the field of urban physical vulnerability indicators.
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Dr Saeed Zanganeh Shahraki, Mr Amin Mahmoudiazar, Mr Mostafa Tavakoli,
Volume 0, Issue 0 (3-1921)
Abstract
Official statistics show that the housing situation in many countries of the world, including Iran, cannot be defended. Despite global issues in the field of housing and the environment, the necessity of developing "sustainable affordable housing" has been widely accepted among urban thinkers. This necessity is intensified with the expansion of urbanization and population growth. To realize this, there is a need to identify the components of affordable-sustainable housing, which has been investigated in this study in the neighborhood, which is the most important place of residential use. In this research, the aim is to investigate sustainable affordable housing indicators in different urban areas. Using Cochran's formula, the number of samples in various locations is determined and finally, sampling is done using the systematic sampling method. The validity of satisfaction questionnaires that include the perceptions section has been confirmed by 5 professors and its reliability has been measured using Cronbach's alpha. The resulting studies show that 36 quantifiable indicators in the field of attaining affordable housing can be identified from various articles using the synthesis method, and by examining them in different planned areas, the program unplanned and old in the city of Urmia, it can be concluded that Urmia's neighborhoods with an average score of 3.87 have a good status in the social sector and with an average score of 2.23 in the economic sector, they have an unfavorable situation and the environmental indicators and Physically, they have different statuses between the localities and have marked the differences. In this way, the planned neighborhoods have a good situation in obtaining affordable housing, and the old and unplanned neighborhoods are placed in the next position.
Mohammad Daraei, Dr Peyman Mahmoudi, Dr Behroz Sari Sarraf, Dr Ali Mohammad Khorshiddost,
Volume 18, Issue 50 (3-2018)
Abstract
Agricultural sector is most dependent on climate, and climate is the main determinant of time, location, production resources, and productivity of agricultural activities. The first event of zero-degree temperature in fall and its last event in spring is important for agriculture. This information is used to determine the species suitable for planting in each area. The present study seeks to identify the probability distribution function for extracting statistical characteristics of frost events in Iran. For this purpose, the history of early autumn and late spring frosts were extracted using daily minimum temperatures of 44 synoptic stations in Iran for a period of 30 years (1981-2010). After fitting various distributions, the best distribution was selected using Anderson-Darling goodness of fit test. Results indicated that most stations follow the Wakeby distribution. Based on the calculations, the first day of frost occurs in the highlands of the Northwest (Saqez, Hamedan, Ardabil, and Zanjan), Northeast (Bojnoord, Torbat-e Heydariyeh, Birjand, and also the Central Zagros Mountains (Shahr-e Kord), due to proximity with cold lands of the North such as Siberia and Northern Europe as well as early entry of westerly winds to this region compared to other regions of Iran will occur. And the latest event of the first day of frost occurs a little farther from the southern coast of Iran in a narrow strip along the coast and parts of the northern coasts (from Babolsar to Bandar Anzali). The earliest event of the last day of frost occurs in the same area in early February. The latest day of frost in Iran occurs in Azerbaijan, Kurdistan, Khorasan, and highlands of the province of Chahar Mahal and Bakhtiari
Majid Yasouri, Samira Mahmoudi, Ali Reza Darban Astaneh, Seyyedeh Fatemeh Emami,
Volume 23, Issue 71 (12-2023)
Abstract
Social capital plays an important role in increasing bioavailability, which undoubtedly is the main goal of all planning and development, including rural planning and development. This research is an applied and descriptive-analytical approach that is conducted with a sample of 355 people among the people of Kurdish villages in Rudbar city. The data gathering tool in this research included: library studies for gathering information about research literature and then field research through observation and questionnaire. The statistical population of the study is Kurdish villages of Guilan province in Rudbar with 12 villages and 2955 population (according to the census of 1395). The number of samples was determined using the Morgan table, 340 people were selected. To increase the level of confidence and reduce the error in the data, the number of samples was increased and 355 questionnaires were completed The research was used to systematically explain the factors influencing location and achieve a comprehensive model of multivariate path analysis. The direct and indirect effects of the variables discussed were studied in a model. The results of the research indicate that the physical variables of spatial belonging (0.445), the dimension of social capital trust (0.126), the environmental dimension of spatial attachment (0.168), spatial sense of belonging dimension (0.99), social correlation dimension And then social capital participation is the most important factors that directly affect the location of the villagers' affiliation.
