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Showing 4 results for Varesi

Sedigheh Mohammad Panah, Hamidreza Varesi, Masoud Taghavei,
Volume 0, Issue 0 (3-1921)
Abstract

The use of structural analysis of development drivers helps planning to better understand the development situation of the provinces and improves the regional balance during decision making. For this purpose, the ten cities of Ilam province were examined in terms of combined development indicators in the form of 44 indicators. This research is an applied study in terms of targeting and in terms of methodology, it has been done in a "descriptive-analytical" way and is explanatory based on new methods of futurology. Theoretical data have been prepared by documentary method and experimental data by survey method. The development drives has been extracted from the documentary method and environmental scanning and experimental data based on the survey method based on the Delphi method. In data processing, structural interaction analysis method has been used in MIC MAC software. Findings in terms of interaction analysis indicate the dispersion of propulsive forces in a complex and intermediate situation of impact and effectiveness; the drivers clustering system indicates the focus of effective and regulatory drivers. Among the 44 driving forces of development, the effective drivers of development are the borders of Ilam province and the manner of managers' decisions. Research results show that development in Ilam province is not only unbalanced, but the imbalance trend applied towards more inequality and only by better and more comprehensive planning can be partially eliminated inequalities.
 

Fardin Kooshki, Hamidreza Varesi,
Volume 0, Issue 0 (3-1921)
Abstract

از مسائل مهم حاکم بر مدیریت و برنامه­ریزی شهرهای ما، نگرش فرم محور است؛ یعنی می خواهند مسائل شهرها را عمدتاً از طریق تغییرات کالبدی حل کنند و در مطالعات خود بر ویژگی های فیزیکی تاکید دارند. در مقابل این نگرش، دیدگاه فرایند محور قرار دارد که سعی می کند فرایندها را بیشتر مورد تحلیل قرار دهد زیرا این فرایندها هستند که فرم­ ها را به وجود می ­آورند. هدف پژوهش این است که بر روی فرایندها و علل در محلات تاریخی شهر اصفهان تاکید شود و نگرش فرایند محور به عنوان حلقه مفقوده برنامه­ریزی شهرهای ما مورد توجه ویژه خواهد بود. پژوهش حاضر به روش ترکیبی انجام شده است تا از این طریق از مزایای هر دو روش کیفی و کمی بهره گیریم. در روش تحقیق کیفی، داده ­ها از روش­های مصاحبه، مشاهده و مطالعات کتابخانه ­ای جمع­آوری شده است و در روش تحقیق کمی از آزمون تی  تک نمونه­ای استفاده شده است. نتایج پژوهش نشان می­ دهد فرایندهای جغرافیایی موثر در شکل­ گیری فرم­ها در محلات تاریخی شهر اصفهان عبارتند از: «وجود حیاط مرکزی در مساکن»، «امکان  ارتباط با عناصر طبیعی مانند درخت، آب و نور طبیعی»، «امکان تماشای آیات الهی مانند آسمان، خورشید، ماه و ستارگان»، «اهمیت منابع آبی مانند زاینده­ رود، قنات و مادی­ ها در آفرینش فضاها»، «هماهنگی با اقلیم گرم و خشک»، «اهمیت باغ های خصوصی و خانگی» و «رعایت حریم عناصر طبیعی مانند حریم چاه، قنات، مادی و غیره». از میان  فرایندهای مورد مطالعه نیز «اهمیت منابع آبی مانند زاینده ­رود، قنات و مادی­ ها در آفرینش فضاها» با میانگین 4 بیشترین میانگین را به خود اختصاص داده و مهم ­ترین فرایند موثر در شکل­ گیری فرم­ ها در محلات تاریخی شهر اصفهان می­ باشد.
 
Malihe Izadi, Hamid Reza Varesi, Mahmod Mahmodzadeh,
Volume 15, Issue 37 (9-2015)
Abstract

Attention to housing and planning in line with sustainable development in the framework for planning national and regional is to our use of the knowledge and techniques of programming, existing situation and issues related to it is made clear that. To the main goal this research study and the analysis of the most tiresome effective in planning housing classification level and province of the country based on.This is a descriptive method of research-analysis. collecting data with the use of the results of the census and public housing in 1390 and resources library and documents and evidence have been done. The index of the study, 27 indicators inclusive of housing is a little bit you returned home Models based on regional planning(Multi-criteria decision analysis Vikor) Has beenanalyzed. Using a factor analysis technique, These four factors were  total 91/18 % of the variance explained Calculation of productivity. The provinces have indices using vikor. Based on this classification level, Esfahan(Zero coefficient),Golestan(Zero), Tehran(zero), East Azerbaijan(0/079 coefficient) in first to fourth levels are very Brkhordar And Semnan provinces(0/87),­­Ardabil(0/88), Sistan and Baluchistan(0/90)          ,Bushehr(0/90), Lorestan(0/91), Hormozgan(0/91),Mahal­­   Bakhtiari (0/92), Kohkiluyeh &Bourahmd(0/94),Qom(0/94),North Khorasan (0/96) and Elam(1), Respectively, and thelastlevelsvery brkhordar havetheleast.
Hajar Jahanshahi, Hamidreza Varesi, Masoud Taghavei,
Volume 24, Issue 74 (9-2024)
Abstract

In fact, the growth of urban consciousness is a wise strategy to drive urban development and control dispersion and drive urban growth toward sustainability. The purpose of this study was to evaluate the rate of Bushehr city area in terms of growth indices. In this regard, this research is a goal-oriented, applied-developmental one, and a combination of documentary, analytical, causal and survey methods. Reliability of the research instrument based on Cronbach's alpha coefficient of the research was 0.749 which is higher than 0.7 and is appropriate. The statistical population of the study is Bushehr inhabitants which according to Cochran formula is estimated 384 samples. According to the statistical population, the questionnaire was distributed randomly among the citizens. In order to compare between two regions, T-test with two independent samples was used for evaluation of urban smart growth in District 1 and 2 of Bushehr. In this test, the first option to be considered is the significance level while the significance level or sig between the two regions is less than 0.05 indicates a significant difference between the two regions and vice versa. Significance level analysis (0.000) shows that there is a significant difference between the two regions in terms of urban smart growth. Meanwhile, the mean of Region 1 with 3.21 was higher than that of Region 2 with 2.86. Although there is a significant difference in Bushehr region in terms of smart growth indices, this difference is not significant and in general Bushehr regions are not in a good position in terms of smart growth indices.


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