Showing 27 results for Factor
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.
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.
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.
Khadigeh Khatiri, Iran Ghazi, Nemat Hasani,
Volume 23, Issue 71 (12-2023)
Abstract
Identifying the level and trend of social capital among the people of a society can help to identify the social and cultural changes of that. The purpose of this study is to explain the development of social capital in urban water crisis management using factor analysis. This research is of applied-developmental type and descriptive-survey study method. The questionnaire is used to collect information and SPSS software and exploratory analysis statistical test is used to analyze the data. The statistical population includes the countrychr('39')s crisis and water supply managers (15 people chosen by targeted sampling); Also, all residents of Karaj during 1396 - 1395, which was used as a statistical sample using the Cochranchr('39')s table for 350 people, of which 44.3% were women and 55.7% were men. The results of statistical analysis showed that in people (sampled) of statistical population’s opinion the level of social capital was lower than what desired. Also, the factors involved in the development of social capital for the water shortage crisis were counted and measured in the form of 24 variables. And finally 5 items eliminated to be effective ones to development of social capital in crisis management of urban water which are ( in order of preferences ) social trust, motivating policies, change in attitude atmosphere, infrastructures of interactions and values in the society, mutual reconciliation between people and government
Dr Fateme Hajizade, Dr Seyed Hamed Mirkarimi, Dr Abdorassuol Salman Mahini, Dr Marjan Mohammadzade,
Volume 24, Issue 74 (9-2024)
Abstract
Cities are open systems that constantly change and bring about changes in inside and outside neighboring areas. With the rapid growth of urban population in the world, cities sprawl and occupy surrounding lands. In this situation, attention to the developments inside urban space could be a key principle in urban planning. The aim of this study was determining and prioritizing economic, social and ecological factors which influence inside urban space indicators in City of Gorgan using Delphi method and literature review. Following the increase in population, developments inside urban space in the future is inevitable. Understanding and recognition of this process is essential to effective management in the field of conservation of the urban environment. Four expertize requirements should be taken into account: knowledge and experience of the field of study; ability and willingness to participate; adequate time to participate; and effective communication skills. Experts’ panel included fifteen specialists from municipality, city council, academics, cultural and medical service providers, police, urban planners and citizens, whose points of view were collected using questionnaires. Data collection for questionnaire was repeated 4 times to reach a consensus. Overall, twenty - four factors were identified for the economic, social and ecological factors, and then the degree and percentage of importance for each one was determined. Results showed that the most important indicator is feeling of security followed by the noise pollution and environmental pollution. Results could be helpful to urban planners and related organizations to improve inside urban space for welfare and life quality of citizens. Prioritization of these indicators provides an appropriate action agenda for the managers.
Mehrdad Mohamadpour Shatery, Hoshang Taghizadeh, Sahar Khoshfetrat,
Volume 24, Issue 74 (9-2024)
Abstract
The phenomenon of poverty is a social, economic, cultural, and political reality that has long been one of the greatest human problems. The purpose of this study was to identify the factors affecting poverty and examine the internal relations and its leveling with an interpretive structural approach in the Imam Khomeini Relief Committee of Tabriz. In this regard, based on the factors extracted from literature, a questionnaire has been developed. In this phase, 41 indicators have been selected as the most important indicators affecting poverty at Imam Khomeini Relief Committee of Tabriz city. After obtaining appropriate validity and reliability for the questionnaire, it has been distributed among the statistical sample. After distributing the questionnaire, factor analysis was used to analyze the information and reduce the variables to dimensions. The results of factor analysis showed that about 68.3% of the total variance of variables was explained by 14 factors and about 31.7% of the variance was explained by other variables that were not measured. As a result, 14 factors have been identified as the most important factors affecting poverty. These 14 factors are important in order of importance: 1- Economic; 2- Social; 3- Individual; 4- Legal; 5- Family; 6; Environment; 7; Political; 8; Management; 9; Cultural; 10- Overseas; 11. Security; 12. Scientific; 13. Organizational; 14. Geographical. Finally, the interrelationships between factors and the leveling of poverty-related factors have been examined by presenting an extended structural-comparative model (ISM).
Dr Nafiseh Varkianipoor, Dr Seyed Mohammadreza Hoseini, Dr Rohalla Samiee, Dr Majid Ashrafi,
Volume 24, Issue 74 (9-2024)
Abstract
Women play an important role in promoting employment and improving the economic situation of society. Therefore, giving them identity and independence and providing the ground for their active participation in various economic and social affairs, especially entrepreneurial activities in urban areas is a very important factor of this great force.
The experts’ demographic features are analyzed. Then the components of entrepreneurship value chain and social sustainable development are sifted out using experts’ opinions (twenty of the best women entrepreneur of Golestan province), Fuzzy Delphi method, and De-fuzzy to find the components of intended variables. Validity and reliability of questionnaires are investigated by Cronbach’s Alpha and normal distribution of components and statistical samples are also analyzed by Kolmogorov-Smirnov and Student’s t-Test. In section one, the prioritization and ranking of dimensions and components of entrepreneurship value chain are addressed (by 198 of women entrepreneur of Golestan province) by using hierarchical analysis process method and Expertchoice software. In section two, to measure the relationships between the developing women’s entrepreneurship according to value chain and the social sustainable development, the Correlational research, the Structural equation for factor analysis test, and Smart pls2 software are used that show a statistical significant. In correlational research not only the relationship between variables are detected but also the type and rate of variables relationship are reachable. The results then are discussed. And the model of developing women’s entrepreneurship according to value chain with the approach of social sustainable development is presented. The model helps adjust the developing women’s entrepreneurship and show the strength and weakness.
Mr Mohamad Reza Hatafi Ardakani, Dr Mphammad Hosein Saraei, Dr Mohamad Mahdi Karimnejad, Dr Seyed Ali Almodaresi, Dr Saideh Moayed Far,
Volume 24, Issue 75 (12-2024)
Abstract
One of the aspects of sustainable urban development and balanced physical development is in line with ecological and socio-economic environmental conditions. In the last decades of the twentieth century, despite many efforts in the field of sustainable spatial development of cities, this issue still remains an important challenge for geographers, urban planners, architects and urban planners. In many cities in developing countries, rapid urbanization and increasing urban population have exacerbated environmental hazards. This is doubly important in small cities. Because physical development, in addition to land use change, has met the basic needs of urban society, including the provision of safe and sufficient water, green space per capita, urban waste management and environmental pollution. The present study is applied in terms of purpose and analytical in terms of method. The statistical population consisted of university professors and experts in the field of research in Ardakan who were selected by purposive sampling. They were selected to conduct and implement the research. In order to achieve the research objectives, using a new analytical methodology of interpretive structural modeling (ISM), the relationships between the factors were determined and analyzed in an integrated manner. Finally, using MICMAC analysis, the factors were analyzed according to the impact and effectiveness on other components. The results of the interpretive structural model of the factors affecting the inner development of the city showed that the obtained model includes three levels and the results showed that the managerial and physical factors are the most basic factors affecting the inner development of the city that should be addressed in the first place. In other words, any action to pave the way for the internal development of the city, requires attention to these factors along with other factors
