Research Article
Mohammadreza Shahriyari; Parisa Moshksar
Volume 2, Issue 6 , March 2022, Pages 1-11
Abstract
The increasing growth of urbanization and population growth in urban areas in recent decades has caused that in addition to the problems of environmental ecology and social disruption, the city and contemporary urban planning face new problems and dilemmas such as fading identity and sense of place. ...
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The increasing growth of urbanization and population growth in urban areas in recent decades has caused that in addition to the problems of environmental ecology and social disruption, the city and contemporary urban planning face new problems and dilemmas such as fading identity and sense of place. The sense of belonging is important in improving the quality of urban and human environments. This sense, which is an important factor in the formation of communication bases between users and the urban environment, will eventually lead to the creation of environments with the desired quality to meet the needs of users of the environment. Social and doctrinal concepts affect social stability and belonging in neighborhoods. In this regard, the purpose of this study is to investigate the physical elements of the sense of belonging in urban neighborhoods in Shahid Beheshti town located in Dehshahr area of Shiraz. The research method in this research is applied in terms of purpose and analytical in terms of its nature. For this purpose, first, effective indicators in measuring the physical elements of the sense of belonging to a place have been prepared from various sources, and then the required data and information have been collected from the neighborhood in the form of a survey and a questionnaire. The statistical population of the study is people living in Shahid Beheshti town of Shiraz. Based on Cochran's formula, 372 questionnaires were calculated as a sample size to examine the indicators according to the attitudes of neighborhood residents. Questionnaire analysis was performed by sample t-test, Pearson correlation coefficient in SPSS software. The results show that in the section related to the studied items in the single t-test, unique physical personality samples with a rate of 3.90 are at the highest level of the average and there is a weak correlation between the independent variables of sense of belonging and its physical indicators. There is also no statistically significant relationship.
Articles extracted from Thesis
Sajedeh Din Parast; Arastoo Yari hesar
Volume 2, Issue 6 , March 2022, Pages 12-23
Abstract
The drying up of Lake Urmia has caused crises and social, economic and environmental hazards in the surrounding villages of East and West Azerbaijan provinces. Natural phenomena and human factors have played an important and effective role in the drying of the lake, so the drying of Lake Urmia can have ...
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The drying up of Lake Urmia has caused crises and social, economic and environmental hazards in the surrounding villages of East and West Azerbaijan provinces. Natural phenomena and human factors have played an important and effective role in the drying of the lake, so the drying of Lake Urmia can have harmful and irreversible effects on the villagers, the villages around Lake Urmia. The purpose of this study is to assess the consequences of the drying of Lake Urmia on the economic indicators of the surrounding villages (reduction of employment, increase of poverty, increase of unemployment and decrease of income and decrease of investment and savings). The method of this research is descriptive-analytical and the data have been collected in the form of library and survey (questionnaire). The statistical population of the study is the surrounding villages of East Azerbaijan and West Azerbaijan provinces, including 25,648 people and 7,600 households. Cochran's formula was used to calculate the sample size. Also, using Cronbach's alpha, the reliability of the questionnaire was calculated to be 0.83%. In analyzing the data of this study, Spss23 software and one-sample t-test were used and the results of one-sample t-test in the surrounding villages show that among the economic dimensions of indicators of increasing poverty and reducing the rate Employment has the highest impact, as well as indicators of rising unemployment, declining savings and declining incomes have the least impact on the drying up of Lake Urmia. Therefore, by taking measures such as creating places and resorts along the lake to attract tourists and building a refinery and packaging of salt in the lake for export to other countries can create employment for residents and prevent their migration. Therefore, by taking measures such as creating places and resorts along the lake to attract tourists and building a refinery and packaging of salt in the lake for export to other countries can create employment for residents and prevent their migration
Research Article
soulmaz Dorri Sedeh; Morteza tavakoli
Volume 2, Issue 6 , March 2022, Pages 24-39
Abstract
Entrepreneurs are an important part of economic activities and play an important role in job creation and development in rural areas.To achieve their goals in the discussion of sustainable rural development, they must seek the transition from a traditional economy to a green economy in their businesses. ...
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Entrepreneurs are an important part of economic activities and play an important role in job creation and development in rural areas.To achieve their goals in the discussion of sustainable rural development, they must seek the transition from a traditional economy to a green economy in their businesses. Because entrepreneurs with green innovations, production of sustainable and environmentally compatible products and services can help decision makers and policy makers in rural areas in the implementation of green economy, but to implement green economy in these areas, in Iran faces obstacles. In this regard, the purpose of this study, which is a descriptive study with a qualitative approach, is to identify obstacles and challenges to the development of green economy in entrepreneurship in rural areas of Isfahan province. The statistical population in the qualitative research section consisted of 10 faculty members who were experts in the field of economics, entrepreneurship and rural development, and the necessary data were collected through a researcher-made semi-structured exploratory interview. Using content analysis strategy, 26 categories were extracted. The categories were provided to the second statistical population in the form of a questionnaire based on the Likert scale, which was estimated to be equal to 40 entrepreneurs in the field of agriculture-rural areas of Isfahan province and all members were examined. In order to summarize the variables, the exploratory factor analysis technique was used with SPSS software. KMO value was 0.70 and Bartlett test value was 489.409 which was significant at 99% level. The results of factor analysis showed that the explanation of total variance by 4 factors extracted from the studied items is 80.171%. In this study, educational-promotional barriers, structural environmental barriers, managerial-technical barriers and supportive-motivational barriers with 38.80%, 17.182%, 14.808% and 9.301% of the total variance, respectively, They were identified as the most important obstacles to the development of green economy in rural areas of Isfahan province.
Articles extracted from Thesis
Hossein Sharifi; Merdad Ramazanipore; Laila Ebrahimi; Ameneh Haghzad
Volume 2, Issue 6 , March 2022, Pages 40-55
Abstract
The occurrence of landslides and the imposition of heavy human and financial losses, the identification and prioritization of sensitive areas, and the development of special spatial plans to reduce the occurrence and its damage in vulnerable areas have made it necessary. Therefore, due to the fact that ...
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The occurrence of landslides and the imposition of heavy human and financial losses, the identification and prioritization of sensitive areas, and the development of special spatial plans to reduce the occurrence and its damage in vulnerable areas have made it necessary. Therefore, due to the fact that landslides are more manageable than other natural disasters, so understanding this phenomenon is very important in order to prevent the damage caused by it. In this regard, the purpose of this study is landslide risk zoning in Noor city using a network analysis model. The method of the present research is research in terms of implementation because it achieves new findings according to the data and methods of analysis, and in this regard, the research procedure is advanced with a systemic perspective due to the interrelationship between spaces and urban development. The river is practical in terms of purpose. Is the analysis unit of Noor city and for preparing information layers, one of the effective risk criteria obtained by field visits and library studies (such as slope, altitude values, land use, etc.) from topographic maps 25000 1/100 and 1.50000, geological maps of 1.100000 were used. In the next step, the effective information layers that were obtained with the opinion of experts and field and library surveys were examined in the form of a network analysis model. For data analysis, the fuzzy ANP method was used to weight the research criteria and Arc Gis software was used to identify high-risk areas in terms of landslide risk. Findings show that the areas located in the north, northwest, and northeast have more landslides, which is 14.94% of the total area of the city. Also, the outskirts of Noor city are in the low probability and very low probability categories based on landslides, which can be attributed to low rainfall, low heights, and slopes, etc.
Research Article
Abolghasem Taghi Zad Fanid; Peyman Qudsi
Volume 2, Issue 6 , March 2022, Pages 56-75
Abstract
The villages targeted for tourism each display a particular form of rural life, art, culture and heritage in rural areas. In the process of selecting the most suitable village for tourism, according to the criteria of good governance, , Decision makers did not use multi-criteria decision-making methods ...
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The villages targeted for tourism each display a particular form of rural life, art, culture and heritage in rural areas. In the process of selecting the most suitable village for tourism, according to the criteria of good governance, , Decision makers did not use multi-criteria decision-making methods to select the village. Therefore, this article aims to create a framework for selecting villages in the process of selecting the most appropriate village for tourism based on the swara-aras-mcdm framework. The focus of this article is on identifying the criteria of good governance and ranking the target villages of tourism in Paveh city based on selected criteria. To measure good governance in this study, 8 criteria of transparency, accountability, rule of law, participation, accountability, effectiveness and efficiency, consensus and legitimacy, equality and inclusion were used. The present research is applied in terms of purpose, mixed in terms of research method, descriptive-analytical in nature and based on elite questionnaire in terms of tools. A team consisting of three experts was formed to determine the weight of the criteria. The swara method was used to weight the criteria and the aras method was used to ranking the options in relation to the most important criteria of good governance in the villages targeted for tourism in the study area. The results of Sawara method showed that the criterion of participation with a weight of 0.172 is the most important criterion of good governance in the villages of Paveh city and then the criterion of equality and inclusion with a weight of 0.154 is the second most important criterion of good governance and the criterion of accountability with 0.120. Transparency with 0.118, responsibility with 0.111, rule of law with 0.109, effectiveness and efficiency with 0.092 and consensus and legitimacy with 0.088, respectively. The results of calculating the Aras method also showed that Darian village with 0.859 has the highest overall importance and is in the first place, followed by Dasheh village with 0.769 in the second place, Khaneghah with 0.762, and Shamshir with 0. / 701 is in the third and fourth rank and Hajij Bozorg village is in the last rank with 0.686.
Research Article
Ali Sayyah; mehdi cheraghi
Volume 2, Issue 6 , March 2022, Pages 76-94
Abstract
This study was conducted with the need to identify the factors affecting dropouts in high school students in Zanjan province and its main purpose was to identify the factors related to dropout. The present study was conducted in a mixed and exploratory manner in two phases, qualitative and quantitative. ...
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This study was conducted with the need to identify the factors affecting dropouts in high school students in Zanjan province and its main purpose was to identify the factors related to dropout. The present study was conducted in a mixed and exploratory manner in two phases, qualitative and quantitative. The statistical population of the present study includes all high school students in 14 districts of Zanjan province who have dropped out of school. In order to determine the volume of the research sample from the formula for determining the sample size according to the statistical population according to the information available in Zanjan Education Department (2337), the sample volume according to Cochran's formula based on the number of students who dropped out of high school Each city was identified by the number of interviews. Accordingly, in the quantitative part, 380 dropouts were estimated as a sample. Data were analyzed in the first stage by thematic content analysis and in the second stage to determine the validity and reliability of the tool as well as the ranking of the factors identified by SPSS-26 software. Also, in all indicators of family, individual, educational and economic dimensions, there is a significant difference between the 14 studied areas of the second secondary school in Zanjan province. In the individual dimension, these results were obtained that in Tarom and Afshar cities, individual factors had a higher average and in Angoran and Abhar cities, individual factors have a lower average. The results also showed that in terms of educational dimension, the cities of Abhar and Mahneshan had a higher average than other areas, and in these areas, more educational factors lead to dropping out of school. But in the city of TaromBut in the city of Tarom, less educational factors have an effect on dropping out of school.
