Showing 99 results for Analysis
Bhroz Sobhani, Fatemeh Nasiri,
Volume 22, Issue 65 (6-2022)
Abstract
Recognition and determination of ecological susceptible regions for proper bedding is importance and vital affair for regional planning and specially agriculture part. Climate and topography are main environmental components which altitude and cultivation product generation capability are depend their in every region. So , studying of effective climate factors and elements on agriculture have special importance. In current study , in order to agriculture ecological homogeneous geographical regions determination ; satellite images of Geographical Information Bases (GIS) were used which they are provider of new horizon and dimensions for effective discovering and fields resources management and we try to show Rapeseed cultivation ecological zoning usage development by combining modern tools , instruments and methods at Ardebil plain region. In order to recognition of mentioned susceptible regions in studied case climate data statistics were used that they include ; temperature degree , precipitation, relative humidity and environmental capability data such as ; inclination, height and multi-criteria decision making based on Analysis of Networks Process(ANP). Then layers were prepared by weighting and according to criteria and they were combined and also layers overlapping were done on GIS environment and ultimate layer of fields proportion was prepared for Rapeseed cultivation. Based on results analysis , studied region fields for Rapeseed cultivation include 33/38% without limitation ; 02/10% of fields with low limitation; 96/33% with medium limitation ; 71/17% of fields with high limitation
Zahre Moradi, Maryam Ilanloo,
Volume 22, Issue 65 (6-2022)
Abstract
The border regions (periphery) are far away from the center due to remoteness, geographical isolation, lack of development, and ... great differences in terms of prosperity and development with central centers. Creating and operating a border market can modify the one-way central- Around and improve regional prosperity. The purpose of this study was to investigate the role of the border market in Henijan province in Khuzestan province in the socio-economic development of the region. The population of the population is Hendijan city which consists of 26292 people according to the census of 2011. Using Cochran formula, 380 people were selected and the questionnaire was distributed among them. The questionnaire has five components: economic, social, transportation, urban services and infrastructure, and 27 sub-criteria. For data analysis, the Fuzzy Network Analysis (ANP) and inferential statistics of Chi-Square have been used.Based on the fuzzy ANP model, the construction of the bazaar has had the greatest impact in reducing smuggling, increasing the stores and shops, hotel and restaurant construction, attracting tourists, increasing passenger terminals, increasing service occupations, boosting banks and insurers, earning income, employing indigenous people and reducing immigration. had. Based on the results, the market has the most impact on the economic component and the least on the underlying component. The fuzzy network analysis model indicates that the market has been most effective in improving. the conditions of which of the components and sub-criteria has the most effect in helping users and planners in the region to use the cost to improve other components
Dr Ahmad Aftab, Mr Ali Majnoony, Mr Akbar Houshmand,
Volume 22, Issue 65 (6-2022)
Abstract
The present study aims at identifying geopolitical components affecting the spatial planning of border regions in the East Azarbaijan province. The research is an applied research that has been carried out using statistical tests, path analysis and Promethean decision making model. The results of the research showed that social variables with r = 0.811, r = 0.662, political, r = 0.851, ranked first to third. The results of path analysis also showed that political components with 0.96, social and cultural components with 0.93 and economic components with 0.36, have a direct effect on the realization of eastern Azarbaijan province boundaries. Finally, the results of the Prometheus model showed that Sardasht, Maku, Oshnaviyeh, Piranshahr, Orumiyeh, Salmas, Khoy, Siah Cheshmeh and Sardasht, respectively, are in the first to the nineteenth priorities. Therefore, according to the findings of the research, it is suggested that security and security measures are implemented with economic, political, and socio-cultural approaches.
Vahide Nori, Afson Mahdavi, Fatemeh Mohammad Niae Qaraee,
Volume 22, Issue 65 (6-2022)
Abstract
The attachment to the place is the emotional relationship of the individual to the place, which is rooted in the person's past qualities and experiences that the place should be able to meet the needs and expectations of the individual, and also the place must meet the capacity to meet those needs and expectations. The attachment to the location is based on the cognitive, emotional, and functional interaction between individuals, groups, and physical-social location over time. The purpose of this study was to use the meta-analysis method to analyze the results of research on attachment to the place. In order to perform a meta-analysis, 75 researches were conducted in this regard. Among the 18 studies conducted during the years 2006-2019, in the field of attachment to the place were selected. In the first step, the evaluation of selected research, homogeneous assumptions and publication error was studied; accordingly, the findings indicated the heterogeneity of the size of the effect and the non-dominance of the published studies. In the second step, the coefficient of effect size was evaluated using the second version of CMA software. The results showed that the size of the effect or coefficient of influence of the identified factors is 0/376, which is evaluated according to the Cohen's interpretation system. Overall, the results indicate that the identified factors have a moderate effect on attachment to the location.
Mr Alireza Mohammadi, Mrs Elahe Pishgar, Mrs Leila Hosseini,
Volume 22, Issue 66 (9-2022)
Abstract
According to statistics, about 300,000 disabled people live in Iran. There are about 25,738 disabled people in Ardabil province. This calls for attention to macro-planning for the disabled. This planning involves cognitive and spatial analysis of the status of the disabled people in different parts of the country. The purpose of this study was to analyze more precisely the situation of the spatial dispersion of the disabled and their relationship with different regions of the cities of Ardabil to address further the problems of accessing urban services and creating better living conditions for people with disabilities. In the present study, indicators such as age, gender, the status of residence, type and severity of disability, marital status, education and employment were analyzed using spatial statistics analysis. Also, the geographically weighted regression (GWR) model has been used to measure the relationship between the extent of development and disability. Findings of the research show that there is no relationship between the extent of development and disability in Ardabil province. The number of disabled males is higher than that of the disabled females in all cities. Disabled people in Ardabil province are young and 91.55% of them are illiterate and close to 96.74% of them are facing unemployment problems. In almost all cities of Ardabil province (73.98), there are severe to very severe disabilities and there is no specific order among different cities in the province of Ardabil regarding the type of disability, and various disabilities have been dispersed in the province.
Hossin Asakereh, Piero Lionello, Hossein Mirmousavi, Sahar Sadrafshari,
Volume 22, Issue 66 (9-2022)
Abstract
The purpose of this research is to identify changes in the temperature trend in the western half of Iran. For this purpose, monthly temperature data of 15 synoptic stations were collected during 1960-2010. Quality control was applied on these data by applying Pettit, SNHT, Buishand and Von Neumann’s tests. Later data Simulated and compared with reanalysis data such as ERA-Interim, ERA-20C, NCEP and CMIP5 models (RCP8.5 for the period 1960-2100). Trends were calculated by the Mean Kendall test and the Sen’s estimator (95 % confidence level). Based on the results obtained from all models, a significant positive trend was observed in spring, summer and autumn, and only in winter according to ERA-Interim. Based on CMIP5 results for the period 2050-2100 values between 2 and 4 ° C/100 achieved, which is lower than the results of other models for the period 1979-2010. Considering the CMIP5 models and their overall average in the study area, an increase in annual temperature (7 ° C /100) for the second half of the 21st century was confirmed.
Seyyed Mostafa Haj Agha Mir, Hamideh Reshadat Jo, Ata Allah Abtahi, Seyyed Reza Salehi Amiri, Fatemeh Aziz Abadi Farahani,
Volume 22, Issue 66 (9-2022)
Abstract
One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities. One of the main ways to preserve the traditions and values of the past for future generations is to preserve the culture of the community, which can be addressed by the prosperity of tourism in cities.The purpose of this study is to explain the models of cultural tourism development in Iran. In the quantitative part of this research, in terms of controlling the studied variables, it is non-experimental, in terms of strategic survey and in terms of the nature of this research is applied. In relation to the research method, it seeks to identify the relationships between cultural tourism and the factors affecting it using the structural equation system. The nature of research is causal research. Considering the application of structural equation modeling to study and analyze the conceptual model of the research, the method of this research is correlational and variance-covariance matrix analysis. The statistical population in the quantitative section was all employees and managers of the Cultural Heritage, Handicrafts and Tourism Organization. In the quantitative part, the sampling method is stratified. Cochran's formula was used to determine the sample size. Based on this, 383 samples were estimated. The tool of this research was a researcher-made questionnaire. To determine the validity and validity of the questionnaire, content validity as well as structural validity were used to determine the validity of the questionnaire. The reliability of the research was analyzed using Cronbach's alpha test. The results of quantitative analysis showed that social indicators have the greatest impact among the leading indicators of cultural tourism in the country.
Mr Mahmood Hosseinzadeh Kermani, Dr Bohlul Alijani, Dr Zahra Bigom Hejazizadeh, Dr Mohammad Saligheh,
Volume 22, Issue 67 (12-2022)
Abstract
The main aim of this paper is to determine the capable areas for cultivating pistachio through considering of Geo statistical Analysis the major effective factors. The necessary climatic daily data of weather stations For the 300 synoptic stations, the station was set up by 2016. The topographic data include relief, slope, aspect, and TIN layers extracts from 1:250000 topographic maps of the region. The maps of land use and vegetation land cover were prepared from the 1:250000 maps of national soil and water Research Institute. The spatial analysis facilities of GIS were utilized for numerical calculation and the spatial geodatabase of the region was established. Then spatial and description data was entered into the data bank. Finally by overlaying analysis in ArcGIS, cultivated area was classified according to its capabilities. The results showed that 707273/88 KM2 Of the area (43%), Not suitable for spreading pistachio cultivation (Including altitudes and urban use and steep slopes, seaside and riverside streams, shoals, saline and swampy lands) and 585130/39 KM2 (35/57%) From the country of Iran Area Including plain areas and agricultural use) was recognized as suitable for the expansion of pistachio cultivation. These areas are located in the east and south east, center and northeastern Iran.
Mrs. Atefeh Shahmohammadi, Dr. Ali Bayat, Mr. Saeed Mashhadizadeh Maleki,
Volume 22, Issue 67 (12-2022)
Abstract
Air pollution is one of the major problems in large cities, which can be harmful to human health and the environment. Isfahan is one of the most polluted cities in Iran.
Its geographic location and low wind speed, industrial activities, transportation, agriculture, and other human activities have created critical air pollution conditions for the city. Nitrogen dioxide is an important pollutant of air pollution, which is monitored using ground stations and satellite measurements. In this paper, daily data of nitrogen dioxide from Ozone Monitoring Instrument (OMI) satellite sensor, wind and surface temperature of Isfahan Meteorological Station data were used between October 2004 and May 2016. The average amount of nitrogen dioxide in the measured range is .The highest amount of nitrogen dioxide ( ) was observed in December and the lowest ( ) was observed in July. The standard deviation of the winter season ( ) is higher than the summer season ( ). The correlation coefficient of nitrogen dioxide with wind and temperature was -0.41 and -0.54, respectively, which indicates the higher importance of temperature in nitrogen dioxide changes. After the formation of the time series, the average monthly nitrogen dioxide content was determined using spectral analysis of least squares of statistically meaningful peaks corresponding periods. These statistically meaningful peaks corresponding periods have been eliminated from the mean monthly nitrogen dioxide time series, and with the linear fit on the residual time series, the trend has been calculated. The nitrogen dioxide trend for Isfahan is per year with 95% confidence.
Ali Khedmatzadeh, Bakhtaran Feizizadeh,
Volume 22, Issue 67 (12-2022)
Abstract
Quality of life is one of the important issues that was first brought to the attention of scholars by the extensive development of technology and industrialization process in the Western countries, and it is increasingly being studied in this field, and this is important due to the increasing increase in quality of life studies in public policy monitoring. Quality of life can be used as a powerful tool for monitoring community development planning. The existence of spatial and spatial inequalities in the city has caused many problems, including the weakness of resources, inappropriate housing, the problems and damage caused by social inequalities, and undermined the quality of life. In this research, that of terms methodological, descriptive-analytic and in terms of purpose, it is functional used the statistics blocks of Urmia, in the census of 1395, and remote sensing data in combination with GIS have been to understand the quality of life in the 5 regions of Urmia. The criteria defined in this research are in 4 sections: social (including 9 sub-criteria), access to public services (5 sub-criteria), physical (4 sub-criteria), natural (4 sub-criteria), which are based on decision analysis Multi-criteria and integration of layers in the GIS environment. Weights obtained for social dimensions, access to public, natural and physical services derived from network analysis model are respectively 0.506, 0.323, 0.116 and 0.055. The results show that as far as the southwest is moving along the northeastern part of the city, blocks that have a better quality of life are rising. In the urban regions of the region 2, quality of life is more favorable than other urban regions. The results of such studies can help urban planners to better understand and prioritize urban issues as a dynamic environment.
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.
Mrs Zahra Ebadi Nehari, Dr Mahdi Erfanian, Mrs Sima Kazempour Choursi,
Volume 23, Issue 68 (3-2023)
Abstract
Drought is a complex phenomenon caused by the breaking of water balance and it has always an impact on agricultural, ecological and socio-economic spheres. Although the drought indices deriving from remote sensing data have been used to monitor meteorological or agricultural drought, there are no indices that can suitably reflect the comprehensive information of drought from meteorological to agricultural aspects. In this study, the synthesized drought index (SDI) as a synthesized index from the vegetation condition index (VCI), temperature condition index (TCI) and precipitation condition index (PCI) were used for comprehensive drought monitoring in the Urmia Lake Basin (ULB) based on the Principal Component Analysis (PCA). For this purpose, MOD13A3, MOD11A2 and TRMM 3B43 data series were downloaded y for the period of 2001–2012. After initial processing, drought indicators were calculated using LST NDVI and TRMM data, and monthly drought severity maps were prepared. In order to validate SDI index, the Correlation relationship between SDI and SPI indices was obtained in the 3 month period during the growing season. As well as, SDI correlation relationships were investigated with wheat and barley crop yields. The results indicate that drought occurred in 2008 and 2001 in the ULB. The results of validation show that there is a correlation of 80% between the two SDI and SPI indicators. Also, the results of this study showed that the SDI index, as a comprehensive index of drought monitoring, reflects the effects of drought on agriculture.
Ms Zienab Hosinpoor, Dr. Aliakbar Shamsipour, Dr. Mostafa Karimi, Dr. Faramarz Khoshakhlagh,
Volume 23, Issue 68 (3-2023)
Abstract
Heat waves are important phenomena in Iran, And its upsurge in recent years seems to have a high upside trend.This climate has a negative impact on agriculture, forest fire and forestry, water resources, energy use and human health.The purpose of the research is to explain the frequency, time distribution, continuity of thermal waves, and the identification of its occurrence in the southern foothills of central Alborz.Therefore, using the statistical methods and maximum daily temperature data of Tehran (Mehrabad), Qazvin and Semnan stations for the statistical period of 30 years (1966-2016), the mentioned characteristics were extracted.In the first step, the nonparametric method of Kendal was used to understand the variability and awareness of the monthly trend of maximum temperatures in the study period.In order to determine the severity, duration and frequency of heat wave events, the percentiles (95.98) and normalized temperature deviation (NTD) were used.The results of the study showed that the frequency of short-wave heat waves was higher.Most frequencies are related to 2-day waves, respectively, and Tehran (Mehrabad), Semnan and Qazvin stations are more frequent.The highest frequency of annual events was detected at stations in Tehran (11 waves in 2010), in Semnan (9 waves in 2015) and Qazvin (7 waves in 2015), respectively.The highest frequency of monthly heat wave events was recorded in June and September.The highest continuation (15 days) was obtained in March 2008 with the percentile method at Mehrabad station.In the normalized deviation method, the temperature was calculated as a warm wave (12 days) in 2008.The highest annual frequency of heat loss occurred in all three stations in 2015.The evolution of the process indicated an increase in the incidence of thermal waves in the cold period of the year But in other chapters, no meaningful changes were made.As it says, the decline in cold winter temperatures is on the southern slopes of Alborz.The results of the two methods showed that in the normalized deviation of the temperature, the number of thermal waves more than the percentile method was recorded, but in the percentile method, the thermal wave was more prominent in the cold period of the year.
Mohsen Abdehkolahchi, Abdehkolahchi Ghalehnoee, ,
Volume 23, Issue 69 (6-2023)
Abstract
Urban land use change is one of the key issues in urban planning that has been addressed by researchers in many different aspects, especially from the perspective of space. But the point that has been overlooked in various studies is that the analysis of different aspects of land use change is not limited to classical and spatial factors, and because of the various interest of land use change, many stakeholders aim to derive interest from this process in urban land developments. Accordingly, this paper aims to apply the communicative planning framework in identifying and explaining the factors affecting the distribution of land use change interests, because communicative planning as one of the major urban planning theories has focused on proper distribution of interests among stakeholders. In this study, after formulating the study results from theoretical studies, using a quantitative approach and exploratory factor analysis technique, the factors affecting the distribution of land use change interests have been identified and explained based on Approvals of the Commission Article 5 of the Ahvaz City (as one of the official references to land use change in the urban planning system). The results show that 9 factors with cumulative variance of 70/851% provide a proper explanation of user change interests distribution, among which "mediation legitimacy of planners and decision makers" has the most effect. Of course, the quality of these factors with 42.31% of the land quality shows the distribution of land use interests among the stakeholders was not very appropriate, which can lead to interest conflicts, especially between groups with economical-political interests and the public interest, and thus cause social instability in Ahvaz city.
ّfazel Amiri, Firooz Babaei, Tayebeh Tabatabaie,
Volume 23, Issue 69 (6-2023)
Abstract
Given the potential negative environmental impacts linked with wild landfills in the central part of the Kangan Region, there is a significant need to accelerate the development of controlled inter-municipal landfills. The study area with daily production of 92 tons of waste, due to lack of recycling equipment and incorrect locating landfill is faced with numerous environmental, health and social problems in open sites and unsafe. This study is aimed at identifying suitable sites for solid waste disposal by considering all essential factors and rating criteria by integrating Fuzzy-AHP and GIS with multi-criteria decision analysis (MCDA) in Kangan county. Standards for siting a landfill formulated by the Environmental Protection Agency (EPA) were employed in this study. The criteria that are considered herein are land use, slope, elevation, distance to drainage, groundwater and dams, distance to faults, soil, geology, distance to the residence and road, industrial and infrastructure accessibility. These criteria were assigned fuzzy membership classes based on their importance in siting a landfill. The fuzzy members of all criteria were overlaid to generate the final landfill site suitability map which was classified into five: not suitable (53.3%), less suitable (39.1%), moderately suitable (5.4%), suitable (1.4%) and highly suitable (0.6%). The Analytical Hierarchy Process (AHP) technique was employed in the selection of the landfill site with reverence to multiple criteria and the fuzzy membership classes in accordance with the standards of the EPA. The results of this research in the management of the urban environment and also in the plans of the optimal disposal of urban solid of this area will be useful.
Mehrdad Mohamadpour Shatery, Hoshang Taghizadeh, Sahar Khoshfetrat,
Volume 23, Issue 69 (6-2023)
Abstract
Poverty is a social, economic, cultural and political reality that has long been one of the greatest human problems. The diversity of problems, needs and problems of the deprived and low-income groups of the society and the multiplicity of poverty indicators on the one hand, and on the other hand the lack of financial resources and credits to solve the poverty indicators, organizations in charge of poor affairs, including Imam Khomeini Relief Committee Has faced serious challenges in the optimal allocation of resources. Therefore, the aim of the present study is to classify the clients of Tabriz Relief Committee from the perspective of livelihood poverty indicators, ranking these clusters in terms of cost and finally allocating productive and optimal resources for each cluster. In this way, with the least resources, a wide range of the needy benefit from these resources. To do this, with cluster analysis of data extracted from the system, 700 clients of Tabriz Relief Committee have been clustered from the perspective of livelihood poverty indicators and K-mean method. The results of this study were a cluster structure consisting of 10 clusters, which according to the characteristics of the clusters, titles for the clusters were considered. Finally, in order to rank the clusters, a multi-characteristic SAW decision-making method has been used. The research findings show the difference between the effectiveness of allocation in clustering method compared to other traditional methods.
Shahla Qasemi, Reza Borna, Faredeh Asadian,
Volume 23, Issue 69 (6-2023)
Abstract
Abstract
In the history of humanity, human always has suffered all difficulties with effort to reach to comfort and well-being until the human provides a way to achieve the comfort. In the viewpoint of climate four elements have significant role in formation of human comfort and discomfort conditions that according to the climatic conditions in different areas, the type and effect of these elements on individuals are also different. The aim of this research is to determine the areas of climatic comfort. For this purpose, temperature, precipitation and humidity data were derived from database of Esfazari for Khuzestan province during statistical period 1965 to 2014. In this process, at first discomfort climate has been defined using temperature, precipitation and humidity based on distribution probability conditional. This research is to determine the areas of climatic comfort in Khuzestan province using multivariate analysis (Cluster analysis and Discriminant analysis) and spatial autocorrelation pattern (Hot Spot index and Moran index) with emphasis on architecture. The results showed that the areas with climatic comfort are included in north and east parts of Khuzestan province. However, the areas of climatic comfort by spatial method have been limited somewhat. Results further indicated that the areas of climatic comfort have decreased significantly towards recent periods especially in cluster analysis and discriminant analysis that a trend of reduction has been remarkable in cluster analysis (from 23.60% in the first period to 17.60% in the fifth period) and discriminant analysis (from 26.97% in the first period to 14.98% in the fifth period).
Dr Arash Ghasemphour, Dr Azadeh Arbabi, Dr Naser Ebadati, Dr Fatemeh Adibi, Dr Maryam Rostam Pishe,
Volume 23, Issue 69 (6-2023)
Abstract
This research has been carried out with the aim of analyzing and explaining the spatial distribution of Mahshahr port during the years (1981-2021). The research method is descriptive-analytical and practical in terms of targeting. For data analysis, cross-tab, kappa coefficient, sectorial, Heldren and Markov chain models were used. In this regard, Envi 5.3, Terrset, Arc/Gis and Google Map software were used to analyze the obtained information. The geographical scope of this research is the city of Mahshahr according to the census of 2015. Kappa coefficient of Mahshahr port spatial changes map for 1981, 2001 and 2021 is equal to 0.88, 0.94 and 0.94 respectively. The results of this research show that during the years 2001 to 2021, about %75 of the growth of Mahshahr city is related to population increase and %25 is related to horizontal and physical growth. The spreading pattern of Mahshahr port is expanding in the form of clusters in the north, north-west, west and south-west directions. According to the forecast results for the time horizon of 2041, the growth of Mahshahr port will reach from 1657 hectares in 2021 to 2530 hectares in 2041. If there is no optimal management, the dispersal of Mahshahr port and its agricultural lands will undergo many changes in the not-so-distant future, and this will have adverse effects on the residents of this city due to the climatic condition of the city and global warming.
Hadi Nagibi, Adel Sherizadeh,
Volume 23, Issue 70 (9-2023)
Abstract
Nowadays, tourism, as one of the key components, has a special role in developing societies and countries. Here, urban tourism - as a significant parts of the tourism industry - has a special place in improving the economic and cultural development of cities and has turned into one of the most important, exchange yielding, and income creating industries. Nevertheless, the development of this industry in cities faces some challenges and problems. This calls for a new and integrated planning to take advantage of opportunities and face the challenges ahead. Future studies can take very effective steps in planning for the development of urban tourism and mapping out the desired future of tourism, and by presenting proper solutions, it can stop the emergence of challenges and the realization of an undesirable future. This study was working towards in line with this purpose. In the present study, using Delphi technique, 36 factors were identified as the primary factors affecting the future of the development of urban tourism in Khoy. The structural analysis method was used with the help of MicMac software to extract key factors, where 12 factors were selected as key factors. Then, the probable situations were defined for each key factor. In the next step, to measure the effectiveness of the occurrence of the status of each of the factors on the occurrence or non-occurrence of other factors, a 33 × 33 matrix was designed and given to the experts. Finally, to compile probabilistic scenarios and to identify desirable scenarios, the data for this matrix were introduced into the scenario software. ScenarioWizard software reported 1406 poor scenarios, 4 strong scenarios and 13 credible scenarios by performing the needed analyses. Examining the credible scenarios showed a relative ruling of static, critical and undesirable situations over the desirable and ideal situations. Apart from the first scenario with desirable and progressive features, the rest of the scenarios do not show a desirable future in minds for the development of tourism in Khoy.
Sara Ghahri Lalaklou, Dr Rasool Darskhan, Dr Mahsa Faramarzi Asli, Dr Morteza Mirgholami, Dr Samad Sabbagh Dehkharghani,
Volume 23, Issue 70 (9-2023)
Abstract
Urban design that the first was paying attention to the aesthetic dimension,now pays to the quality of the public territory in terms of physical social cultural and creating places for people using.the public territory is a temporary territory and everyone has access to and has the right to use it.tendency to have a territory and defend of it, is intrinsic.since now women like men are present in society but they do not have enough power to choose their territory so this research is trying to introduce the effective items to creating ideal territory.the data of this study is descriptive-analytical/survey.type of study is quantitative and qualitative. The study is field and library based.the statistical population includes women with different cultures ages behaviors in ealgoli park,women's shams park,valiasr park of Tabriz that the woman were randomly selected.the sample size is 384 and it based on the Cochran formula. At first at the descriptive level were investigated with subject statistics indicators and then at the inferential level used of exploratory factor analysis to determine the model.the results include 5 influential components.these components are landscape-functional-security-morphology-psychological.