Showing 27 results for Factor
Mr Iraj Mahmoodpour, Dr Hossein Hataminejad, Dr Rahmatolah Farhoodi, Dr Jamile Tavakolinia,
Volume 0, Issue 0 (3-1921)
Abstract
It has a complex and multi -dimensional conceptual life and guarantees the performance of the ecosystem from the smallest unit to the surface of the Earth, or in other words from local levels to world levels, and its patterns are quite different from one region to region. In this regard, in the past three decades, in addition to the human impacts, the use of harmful resources and industries, the vulgarity of the ozone, the greenhouse, the greenhouse and the effects of the phenomena, and the phenomena of the city, Various environmental and environmental and remedies have been increased, which has increased melods to zero. For this purpose, in this study, it has been attempted to identify and analyze the key propellers affecting biodiversity by emphasizing the environmental indicators in Tehran's 11 metropolitan area. In this study, with the technique of environmental and Delphi dynamics, 57 primary factors were extracted in eleven different areas and then, using the Delphi method of managers, the matrix of the components of the components was formed. Next, the matrix analysis has been analyzed through the Michemac software. The results of the distribution of variables on the axis of influence and influence of the factors in the Micmac software indicate the system's instability within the scope of the study, and therefore five categories of variables were identified. Finally, due to the high direct and indirect effect of factors, seven key factors were identified as key factors in the field of biodiversity, with emphasis on the environmental indices of the region. Among the preferences under consideration, the variables of public transport status (speed, accuracy, confidence, security, security, convenience, economic affordability) and public access to the green space had the highest impact on the biodiversity in the study area.
Kiomars Khodapanah, Arasto Yari,
Volume 0, Issue 0 (3-1921)
Abstract
Water resources management is faced with many limitations and dimensions in the course of transformation in its conditions and scope of action. Based on this, identify the factors affecting the sustainable management of water resources. It is considered an important measure for its optimal use. Therefore, in the present study, the effective factors on the sustainable management of water resources were investigated based on the farmers' point of view. This research is descriptive-analytical in nature. And in terms of purpose, it is practical. And the approach governing it is quantitative. The statistical community is formed by the household heads of agricultural lands in the central part of Ardabil County. in order to review the issue Seven indicators were used in the form of 72 items. Structural equation modeling (Smart PLS) was used to analyze the issue. A review of the findings shows the initial evaluation of the measurement model indicates the appropriateness of the model. The results of the model execution showed, that five factors had a factor loading of less than 0.5 and were removed from the list of factors. The results of running the model again showed that all the remaining 68 items had an effect rate higher than 0.5. The results of the structural model indicate the existence of a significant structural relationship between sustainability management and economic, social, productivity, technical, educational, and institutional effects. The index of the coefficient of square determination showed that this coefficient was estimated to be higher than the strong value of 0.26 for all research indicators. The coefficient of determination index for the economic index was estimated to be 0.299 less than other indices, and the productivity index was estimated to be 0.511 more than other indices. The results show that reviewing and revising the management perspectives of agricultural water resources and moving towards a cross-sectoral and collaborative perspective based on optimal management, which along with maintaining the economic, social, technical, educational, etc. dimensions, plays an essential role in providing sustainable management. It plays water resources.
Mohammad Najarzadeh, Aliakbar Bidokhti, Jamal Moradnejad,
Volume 15, Issue 36 (6-2015)
Abstract
According to WTTC (World Tourism and Travel Council) forecast tourism contribution of global GDP will be about 6000 billion dollar in 2020 and will create 300 million job Therefore, Tourism could be considered as multidimensional field that response to tourists needs with diversity interests and motivations. Shopping is the most necessity needs and it is the one popular activity for tourists. Border regions facilitate this activity because they have two potentials: appropriate geographical situation and non-favorite economic condition for host community. One of the best and most popular border cities in Iran country is Baneh that placed in the west boundaries between Iran and Iraq country. Region’s Economy extremely depends on tourism shopping and majority of the host community directly or indirectly involved in that bussiness. Therefore, we can connect tourist's satisfaction with welfare and/or economical condition improvement. As, if it realize positively, region will develop in close future. This paper aims to evaluate performance of factors influencing tourists overall satisfaction in the Baneh border city due to important of development issue. Here, factors divided into two categories: shopping factors and tourism environmental factors. This research has followed a practical object, a descriptive approach with Field- Survey type in the method. Statistical population included tourists who have traveled to baneh city to purchase mainly. Matching to Morgan's table 400 tourist as statistical sample have selected and the questionnaire give to them randomly. The tools for gathering were base on two method, early data (from the field- survey study) and secondary data (from the library studies). An analysis of the results revealed that, in thematic destinations, in addition to factors related to specific Theme (Subject) that they were more influencing, The tourism environmental factors also can influence on the tourist total satisfaction . In sumery, this research aims to examine amount of satisfaction factors impact on the overall satisfaction. Finally, suggestions for relevant governmental institutes are provided.
Hakimeh Behboudi, Mohammad Saligheh, Ali Bayat, Akram Zakeri, Fatemeh Jamali,
Volume 15, Issue 36 (6-2015)
Abstract
Understanding weather zoning and knowing homogeneous climate regions are essential for land use and regional planning. The aim of this study was to compare three different geographical climate of Iran, the Caspian coastal, mountainous and arid interior of the provinces of Mazandaran, Semnan, Tehran, Qazvin, Qom, and Markazi. In order to do this study, climatic data of 56 synoptic and climatology stations and 19 climatic elements were used by using cluster analysis and factor analysis models. For this purpose, a matrix with dimensions of 56 x 19 and the R configuration and as a database was used for segmentation. By applying factor analysis based on principal components analysis with Varimax orthogonal rotation it was determined that in the climate of these three regions, four factors of humidity, temperature, dust and thunderstorms are affecting more than 85% of the total variance of the climate of this region. The hierarchical cluster analysis method and integration into the matrix of factor scores, four main and several sub-region areas were identified.The main areas are hot, dry desert area, low rainfall mountain slopes, the mountainous and cold and semi-rainy regions and high rainfall and finally the moderate high rainfall. The study of four areas and their local and regional conditions shows that the neighborhood with humidity source such as the Caspian Sea and rough configurations such Alborz Mountains play a decisive role in the formation of north sub-areas.
Hamid Jalalian, Fariosh Namdari, Asghar Pashazadeh,
Volume 15, Issue 36 (6-2015)
Abstract
Nowadays most of the countries have chosen the tourism as a development strategy for the rural areas. The Hajij village with worthy natural, cultural and anthropological heritage has known as a tourism destination in Kermanshah province and west of Iran. In this research, the effects of tourism are studied in this village. The methodology is descriptive-analytic method. The necessary data were collected through both library and field methods. The population of this study equals to 180 persons- based on Cochran Table- including the 130 residents, 15 local governors and 35 visitors were selected by simple random method. Research tools include a researcher made questionnaire which its validity was confirmed based on the collective opinion of the universities professor's and experts of executive organizations. The reliability of the questionnaire was calculated at 0.867 using Cranach’s alpha test based on 20 pretesting. Data analysis was held by factor analysis in SPSS 21 software. The research findings showed that there are six main factors among 30 variables which interpret 70 percent of the variance of the tourism effects the most important is physical- facilitator effects. Moreover, the positive effects were %65.8 and the negative ones were %34.2 based on factor analysis.
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.
Amin Mahmodi Azar, Rahim Hashempour, Sid Momen Fovad Marashi,
Volume 17, Issue 45 (8-2017)
Abstract
In recent decates, the subject of quality of living in city and the satisfaction of citizens from their environments has attarced the views the most of researchers and international institutes around the world. Because of its importance, UN to publish a report annually in which different cities around the world ranked and compared through the quality of life. Quality of living talk about different indices and one of its important indices is access to the city services which in turns would decrease some of the city problems such as slums and irregular construction, land speculation and etc. This research tries to analysis the city quality of living according to the standards of services access in cities. So, quality of service access was analysed in objective and subjective sections in old zone of Urmia. The research method is descriptive-analytic and we use questioner, different models such as AHP and network analysis and fuzzy techniques, Pierson coefficient for our study. Results show that satisfaction of city-service access has a very meaningful statistic impact on the subjective factors of quality of living and as it increases more, we have more subjective quality. These results tell planners that key factors would have great impacts and roles on the satisfaction of the life of citizens.
Nasser Bayat, Seyed Ali Badri,
Volume 18, Issue 49 (3-2018)
Abstract
This research is conducted on tourist segmentation in the touristy catchment area of Kolan river in Malayer Township. The statistical population is tourists who travel to the area for recreation, tourism and leisure. The research tool is a self-administrated questionnaire. By the method of Simple random sampling we collected a total of 200 questionnaires of tourists in the study area. Descriptive statistics and exploratory factor analysis and cluster analysis was used to analyze the research data. Based on the results of factor analysis were identified even major factor in tourists' motivations at the regional level, including: Rurality, sense of place and place belonging, rest and relaxation, nature-based tourist activities, group outdoor recreational activities, purchase the rural production, excitement and novelty, spirituality and solitude. According to this motivational factors final result of tourism segmentation shows that tourism demand in the market consisted 7 difference segments. cluster 1 with a diverse motivation of 12%, cluster 2 with togetherness motivation 17%, third cluster as a younger age group with adventure motivation 18.5%, cluster 4 with rurality motivation 15%, fifth cluster whit shopping motivation 10%, sixth cluster with sense of place and desire for comfort and rest 19.5%, and seventh cluster with a particular tendency to sense of place 7.5% of the sample population as a whole. The results could be utilize in order to optimize the use of available resources in the area by managers and local authorities, as well as owners of tourism businesses, compatible with the actual needs of various sectors in rural tourism market.
Shamsollah Asgari, Amir Safari, ,
Volume 18, Issue 50 (3-2018)
Abstract
One of the important and effective factors in the destruction of natural resources is the flood phenomenon, identification of this phenomenon and effective parameters in flood occurrence in natural resources and catchment areas is necessary. The purpose of this study was to determine the flooding of sub-basins in Jafarabad basin in Ilam province. In this research, the Jafarabad basin in Ilam Province is divided in to 12 sub-basins. For each sub-basin, 28 geometric, climatic, permeable and physiographic parameters such as area, environment, length and slope of main stream, length and slope of the basin, time of concentration, The coefficients of shape and variability of precipitation, vegetation cover, CN, discharge and ... have been calculated using GIS software. Factor analysis was used to determine the flood potential of the sub basins. The data of 28 sub-basin variables were analyzed by SPSS software and summarized in 5 main factors (shape, flow, slope, drainage and runoff). The results indicate that the factor of the form with a specific value of 11/30 is the most important factor in the flooding of the studied basin. Channel, slope, drainage and runoff factors with a specific value of 7.21,4.34,3.22 and 3.10 respectively Priority is in the next rank. Then, based on the factor scores of the study area, three large, medium and low flooding categories were mapped and a zoning map of the flood potential of the sub-basins was drawn in the GIS environment. Sub-basins (9,8,5,3) in the shape of the sub-basins (1,6,11) in the gradient factor, sub-basins (2, 7) in the drainage factor and in the runoff factor of the sub-basins (4,10,12 ) Have a lot of flood potential. In sub-basins, the similarity of flooding, erosion, vegetation, and human performance impacts is divided into 3 groups with high, medium and low flood potential. Sub-basins play a major role in the flooding of the basin, which affects the vast agricultural fields of the lower reaches.
Mohammad Hossein Nasserzadeh, Zahra Hejazizadeh, Zahra Gholampour, Bohloul Alijani,
Volume 20, Issue 57 (6-2020)
Abstract
The plant community in an area is the most sensitive indicator of climate. A visual comparison of climate and vegetation on a global scale immediately reveals a strong correlation between climatic and vegetation zones and this relationship, of course, are not co-incidental. The main object of this study is to reveal the spatiotemporal association between climatic factors andvegetation Cover (NDVI) incorporate MODIS and TRMM product in Kohkiloyeh O Boirahmad province of Iran. So that the in this paer we use MOD13Q1 of MODIS product as NDVI layer for study area. MOD11A2 as landsurface temperature and 3B43 TRMM as meanmonthly accumulative rainfall for study area during 2002 to 2012 in 0.25° spatial resolution also were used as climatic factors. We use the correlation and cross-correlation analysis in 0.95 confident level(P_value =0.05) to detection the spatial and temporal association between the NDVI and 2 climatic Factor(LST and rainfall). The results indicated that during winter (December to March) the spatial distribution of NDVI is highly correlated with LST spatial distribution. In these months the pixels which have the high value of NDVI are spatiallyassociated with the pixels which have highest value of LST (6 to 14C°).As can be seen in table 1. Season the spatial correlation among NDVI and LST is so high which is statistical significant in 0.99 confident level in winter. In transient months such as May, October and November,(temperate months in study region ) the spatial correlation among NDVI and LST is falling to 0.30 to 0.35 which is not statistical significant in 0.95 confident level. Finally in summer season or warm months including Jun to September, we found the minimum spatial association among the NDVI and LST.. In temporal aspect we found that the maximum correlation between NDVI and LST simultaneously appears and not whit lag time. The spatial correlation of NDVI and TRMM monthly accumulative rainfall was statistical significant in spring season (April to Jun) by 1 month lag time in remain months we don’t find any significant correlation between NDVI and rainfall.
Dr Iran Salehvand, Dr Amir Gandomkar, Dr Ebrahim Fatahi,
Volume 20, Issue 59 (12-2020)
Abstract
Rainfall prediction plays an important role in flood management and flood alert. With rainfall information, it is possible to predict the occurrence of floods in a given area and take the necessary measures. Due to the fact that the three months of January, February and March are most floods and most precipitation is occurring this quarter, this study aimed to investigate the factors affecting precipitation and modeling of this quarter. For precipitation modeling, the monthly rainfall data of the Hamadid and Baranzadeh station in the statistical period (1984-2014) for 30 years as a dependent variable and climatic indexes, large-scale climatic signals including sea surface temperatures and 1000 millimeter temperatures Altitude of 500 milligrams, 200 milligrams of omega and climatic elements have been used as independent variables. Due to the nonlinear behavior of rainfall, artificial neural networks were used for modeling. Factor analysis was used to determine the best architecture for entering the neural network. For prediction of precipitation, the data that showed the most relationship with precipitation was used in four patterns, in January the fourth pattern with entropy error was 045/0, the number of input layers was 91, the best makeup was 15-1, and the correlation coefficient was 94% Was. In February, the third pattern with a correlation coefficient of 97%, entropy error, was 0.36. Percentage, number of input units was 8 units, and the best type of latency layout was 10-1. The precipitation of March with all patterns was high predictive coefficient. The first pattern with entropy error was 0.038, the number of input units was 67, the hidden layer arrangement was 17-1, the correlation coefficient was 98%.
Elmira Azimi, Dariush Sattarzadeh, Lida Bolillan, Akbar Abdollahzadeh Tarf, Mahsa Faramarzi Asli,
Volume 20, Issue 59 (12-2020)
Abstract
The prevalence of chronic health problems is increasing, both in terms of physical health and mental health in modern societies. Meanwhile, the health of individuals in society as human capital is important in advancing the goals of thematic communities. The aim of this study was to investigate the role of physical-environmental factors on the mental health of citizens. This research is applied in terms of purpose and descriptive-analytical method. The statistical population of citizens living in Ardabil was estimated to be 384 using the Cochranchr('39')s formula. The field data collection tool was a researcher-made questionnaire whose validity was confirmed by formal validity and reliability using Cronbachchr('39')s alpha test and combined reliability. The results of this study showed that legibility and visual quality, access to urban green space, security of urban space, quality of urban furniture, mixing and variety of uses have a positive and significant effect on the mental health of citizens. Considering the value of the path coefficient obtained for the independent research variables, among the identified variables, the quality of urban green space with the path coefficient value of 0.44 had the highest path coefficient and had the greatest effect on the dependent variable, ie mental health of citizens. Also, the mixing variable and the variety of uses with a path coefficient value of 0.21 had the least effect on mental health.
Mohsen Saghaei,
Volume 21, Issue 60 (3-2021)
Abstract
Abstract In present century the air transportation has had a very important role in relations between different countries of the world ,as exchanging of culture, showing the economical and military power and speeding the vital affairs of a country and in this case airports form a very critical role in the Air Transportation system An airport is the most infrastructural part of the transportation industry in each country. Therefore, recognizing the problems of this sector of the aviation industry is effective on expediting activities related to the transportation of passengers, the development of the flight network, the growth of the physical airport, reduction in air accidents and problems caused by the proximity to residential areas (colliding with residential areas and noise pollution). In this regard, the aim of the present study is to investigate the problems of Mehrabad International Airport as the most important airport for domestic flights from the aerodrome point of view and the flight network based on standard indices of the national aviation industry. Therefore, among the experts of the aviation industry (pilots, officials and personnel working at Mehrabad Airport), 240 individuals were selected as the sample and a researcher made questionnaire was distributed among them. The application of factor analysis model and SPSS and Lisrel software revealed that the most important problems of Mehrabad Airport are proximity to residential areas, causing noise pollution for residents around the airport, adjacent to the military airport, lack of proper distance from other airports, and its role as flight origin for domestic flights in the Iran’s national airline, totally explain 83.79 % of the common variance. Other variables have not been able to justify significant variance.
Dr Fariba Esfandyari-Darabad, Dr Raoof Mostafazadeh, Dr Ahmad Abyat, Ahmad Naseri,
Volume 21, Issue 61 (6-2021)
Abstract
Most of residential areas, population centers, and agricultural lands are located along the rivers and especially on the river terrace, which are affected by river dynamics, discharge changes, and flood hazards, bed fluctuations and meander variations. Therefore, it is necessary to study the behavior and pattern of meander movements of rivers in order to avoid potential hazards. The current research conducted in a reach of Gharehsou River in Ardebil province and the field measurements were done at adjacent to Anzab village to the Samian Bridge.
In order to determine the pattern of this river, the Leopold Sinuosity Factor and the central angle calculated using Cornice method were used in this study. The results showed that the average of the Sinuosity Factor in the study area was 1.47, Which indicates the high ratio of river sinuosity. It also indicates the spatial variation of meanders evolution is not the same over the studied reach. The values of obtained Sinuosity factor using the employed methods showed that the %71.11 of meanders (32 meanders) with sinuosity factor of 1-1.5 belong to the category of low meander degree. While, the %17.78 of meanders (8 Meanders) had the sinuosity factor of 1.5-2. The remained 5 meanders (%11.11 of the identified meanders) had the sinuosity values greater than 2. This means that there are at least 5 meanders in the study area that are susceptible to becoming an oxbow-lake. Therefore, it is necessary to stabilize the stream banks and river bed of the study reach through structural management and engineering methods.
M Mohamda Poodineh, M Morteza Esmailnejad, S Sohrab Qaedi, Mohammad Ali Shirazi Kharazi,
Volume 21, Issue 61 (6-2021)
Abstract
The coastal are geographically diverse from important areas for attracting populations and economic activities, especially military ones. Understanding the natural environment's behavior on the coast can help plan and deploy military activities. Therefore, this study evaluates the role of natural factors (climate and geomorphology). For this purpose, the most important variables affecting the location of military activities are selected, and then the data of the weather stations of the region for a period of 30 years to create climate databases and layers of features of the earth's surface including slope, tilt, topography, etc., for The formation of natural databases was selected and organized in the GIS environment. Then, using decision-making methods (AHP, ANP), we evaluated the impact criteria in the locational process. Ultimately, using the Fuzzy Collaborative Model, the final map provided the best places to deploy military equipment and equipment on the coast of the Oman Sea. The results showed that more suitable locations are located in the eastern coastal strip and some western locations. However, scattered locations with the least vulnerability and non-operational basics can be found in the coastal areas in the final map.
Dr Mandana Habibi, Dr Hosein Mojtabazadeh,
Volume 21, Issue 61 (6-2021)
Abstract
A review of the history of the Islamic period reveals that concepts such as Islamic values and principles have always been one of the foundations of Islamic cities. This has made the Islamic city a space for the development of other Islamic fundamental concepts and principles. However, with the emergence of modern thinking and the emergence of numerous movements, we have seen that many of these are distorted. considering the historical background, values and factors present, district 20 in Tehran, is of no exception. In this regard, the purpose of this study is to investigate the mechanisms of how each of the factors of the Islamic city influence the perception of the inhabitants of this historical district of Tehran. To achieve this goal, a conceptual model of the research was first developed using the literature as well as the research context in which the three main physical, social and validity dimensions were considered for Islamic urban planning. Subsequently, using a questionnaire survey and its analysis by structural equation modeling, the effect of each of these factors on their indicators was put forth as the research findings. The results of the analysis indicate that the "validity" factors have the most impact on people's perception of the Islamic city, while the "social and civil" and "physical" factors are less influential.
Aliakbar Anabestani, Mahdi Masoumi,
Volume 21, Issue 63 (12-2021)
Abstract
In the last decade, the lake tourism as one of the newest branches of natural tourism has been under attention of scientific societies. So that this type of tourism has grown significantly and many economic benefits for host communities has brought. The aim of this study is evaluating the factors affecting lake tourism development in Iran. In this regard, a wide variety of indicators in the dimensions of attractions, infrastructure, cultural acceptance, economic, social and environmental In the form of a questionnaire tourism experts and field studies were examined. For binary comparison and a final weight criteria and options, of AHP fuzzy, ANP and GRA techniques in the form of questionnaires and 20 teachers and experts from organizations linked to tourism have been used. The results confirms that: Based on the results of the paired comparison of factors affecting lake tourism of the development using multiple fuzzy AHP and ANP in terms of tourism experts, Criteria attractions by weight of 0.247 in fuzzy AHP and 0.246 in the ANP model and The criteria infrastructural factors weighing 0.229 in fuzzy AHP and 0.234 in the ANP model Has the greatest impact on the lake tourism of development. Finally, with the objective of ranking factors affecting the lake tourism of development in the villages surrounding the lake, using techniques GRA, found that conditions Dowbaneh and dasht Arjan villages are better than other villages and Qashm qavi and Arab Famour villages at the lowest level of lake tourism of the development have been.
Dr. Vahab Amiri,
Volume 21, Issue 63 (12-2021)
Abstract
In this study, the hydrogeochemical status of groundwater resources is evaluated using chemical analysis of 346 samples supplied from 10 springs. Based on Gibbs and van Wirdum diagrams, interaction with rock and sedimentary formations is the dominant process of controlling water chemistry. Based on the Chadha diagram and output of AquaChem program, the amount of alkali earth elements (Ca and Mg) is more than alkali ones (Na and K) and the value of weak acidic anions (CO3 and HCO3) is more than strong acidic anions (Cl and SO4). Therefore, the dominant hydrochemical facies in water samples are Ca-Mg-HCO3 and Mg-Ca-HCO3. In this plain, carbonate and probably halite dissolution are the causes of Ca, HCO3 and Cl abundance in water samples. All samples showed the HCO3+SO4 of less than 5 meq/l and demonstrate that the dominant process affecting water chemistry is the calcite and dolomite dissolution. Ion exchange between fine-grained materials of the aquifer and water solution has occurred very vastly. Based on chloroalkalin (I, II) indices, about 5.49% of samples exhibited the reverse ion exchange. Calculation of the saturation index showed that all samples are undersaturated with respect to anhydrite, aragonite, calcite, dolomite, gypsum, and CO2. Besides, the saturation index of water samples for calcite and aragonite is greater than anhydrite, dolomite, and gypsum. Analysis of principal components affecting water chemistry showed that about 82% of changes in water chemistry is controlled by 4 factors which factor 1 including Ca and HCO3, factor 2 including Na and Cl, factor 3 including Mg and SO4 and finally factor 4 including pH.
Mr Jamaleddin Honarvar, Dr Sara Jalalian,
Volume 22, Issue 64 (3-2022)
Abstract
Housing, as the primary needs of mankind and providing his satisfaction, plays an essential role in improving the quality of life. In these conditions, the "home quarantine or social distance plan" is the only way to interrupt the transmission chain, this research seeks to examine the physical-social factors in the quality of today's homes (including a variety of species of housing) for long-term presence of humans in The conditions are quarantine. In this paper, we have tried to extract indices and components of the quality of different types of housing and the effect of each of the factors in the tolerance of quarantine conditions in different types of housing of Tehran. The method is based on applied purpose and in terms of descriptive-analytical nature and comparative technique. The documentary and field method and a questionnaire were used to collect information. To analyze the data, single sample t-test and mean test and to study the normalization of data were used by colomogorov-smarinov test. The statistical population of the study includes residents of different types of housing in Tehran are 381 samples. Measurement of research indicators with Likert spectrum and with a assumed average of 3 and 3 indicators and 9 components and 49 measures. These indicators include physical, social, cultural indicators. According to the results, residential complexes have the highest level of satisfaction (mean 4.41) of physical-social factors in the quality of life of residents of different types of housing species in quarantine conditions. The level of social, physical and functional indicators in general for residential complexes show a better condition. By summing up these indices and the overall examination of physical-social factors in the quality of life of residents of different types of housing in terms of quarantine conditions; It was found that apartment housing has the lowest satisfaction (3.77) of social physical factors of their quality of life in quarantine conditions. At the end of research, suggestions for improving the quality of life of residents of different types of housing in quarantine conditions were presented with respect to physical-social dimensions.
Abolfazl Moarefi, Arash Sadri, Hadi Gholami Norabad, Behzad Saeidi,
Volume 22, Issue 67 (12-2022)
Abstract
As a novel idea for discussion on the role of industrial development on regional development, the term “cluster” became noteworthy since 90’s in order to increase competitiveness. Territorial development researchers believe that formation of regional industrial clusters improves competitiveness and plays a role in promoting competitive advantages and regional development. Hence, because of the possibility of realization of competitive advantage, Tourism clusters became a focal point for research and policy making. Against this background, the purpose of this research is to analyze and review the role of industrial clusters on development of regional competitiveness and assumes that the higher number of relations in an industrial cluster leads to higher level of regional competitiveness. The research applies descriptive-analytical research method and utilizes questionnaire to collect data. The data was studied by SPSS and Lisrel software packs after approval of validity and reliability of data. Findings corroborate the relation between higher number of relations in industrial clusters with higher level of regional competitiveness and also identifies the contributing factors to development and stimulation of regional development which are ranked by the order of their effect as follows: 1. Social relations, 2. Geographic and location relations, 3. Economic relations, and 4. Institutional relations.
