maryam jami odluo

The healthcare as one of the most important social sections has decisive role in the health of the community members in every community; so, it is underlined by all of the countries in the field of social welfare as one of the universal human rights. The present study aims to evaluate Ardabil's rural districts to possess Healthcare services with space justice approach. This research is practical and descriptive-evaluative in terms of purpose and nature respectively. For this purpose, 13 healthcare indicators were selected according to different texts and available statistics and they were weighed by entropy method and they were determined using this data in order to analyze in different methods (Topsis, Vicor, Saw) and the Copland method was finally determined for development level of healthcare services from the view point of spatial justice in Ardabil's villages. Pearson Correlation Coefficient was also used to examine the relationship among the rural districts development with the population and its distance from metropolitan centers. The obtained results of each method reveals that each of the models indicates different levels of healthcare development in view of spatial justice. So, an integration technique was used as Copeland in order to get general consensus. The results obtained from the performance of Copeland technique revealed that Rezagholi-Ghashlaghi, Dojagh and the Angote Sharghi were in the first grade and Vilkije-markazi, Meshgine-sharghi and Yortchie-gharbi were in the final grade respectively due to have the healthcare indicators. Also, there is a meaningful relationship between the rural districts' development with the population and their distance from civil centers. The obtained results of the rural districts' ranking based on development grade regarding healthcare indicators in view of spatial justice reveal that Ardabil's rural districts are in an unequal state in terms of having their healthcare indicators. According to the research results, it is proposed that the rural districts with lower grade in terms of the healthcare indicators (more deprived) should be in priority for planning and application of development projects.

The right to the city is defined as a new form of citizenship so that all citizens can control and participate in the production of urban space. As half of the society, women do not have the opportunity to enjoy urban spaces equally compared to men. In this regard, although the space may be shared and the genders share it, but this issue will be different depending on different places and times, and as a result, gendered spaces are formed. Considering the importance of the issue, the aim of this article is to identify the pattern of presence in the female space on the right to the city with a gender-selective approach. In terms of purpose, the present research is practical and based on the method of data collection, it is descriptive-analytical survey type. The statistical population of the research is made up of women of Ardabil city, among them, 384 questionnaires were administered using Cochran's formula in a simple random manner. was distributed To analyze the collected data, one-sample t-tests and Friedman's test were used for ranking in Spss software. Based on the findings of the research, gender segregation in women's spaces is evaluated by women at an unfavorable level, and overall, the amount of gender segregation in women's spaces is less than the average (theoretical mean = 3) of all the investigated indicators. The results of Friedman's test also indicate that social and cultural criteria are more influential on gender segregation.

In developing countries, due to the extreme socio-economic differences, inequality and lack of balance in urban services, the spatial difference between cities has intensified and spatial separation has emerged in the city. Different levels of this phenomenon appear in rural-urban areas during the process of horizontal development and integration of villages in the city. Therefore, the aim of the current research is to analyze the separation and selection in rural-urban areas with emphasis on the development of Mian Afza in Ardabil city. The current research method is descriptive-exploratory. The statistical population of the research is the experts and specialists (familiar with the topics of urban segregation) of Ardabil city, due to the unknown number of them and the ambiguity of their familiarity with the topics of urban segregation (especially the indicators of segregation in the fields of Rostashahri), experts were identified using the snowball method. In this regard, the number of expert samples continued until obtaining better knowledge and theoretical saturation in the answers received (closeness and repetition of answers), and finally reached 10 people. In this regard, after the selection indicators in rural and urban areas were extracted through library studies, the aforementioned experts were interviewed and after summarizing the indicators, the content validity of the challenges was obtained. Finally, the specialized questionnaire of the effectiveness and effectiveness of the indicators was again evaluated by the same 10 relevant expert.

Today, the tourism industry is one of the pillars affecting the urban and regional economy and is a powerful tool that includes economic, social and environmental effects. Urban tourism, as one of the sub-sectors of tourism, has recently received the attention of planners and administrators. Based on this, the aim of the current research is to investigate the impact of urban tourism indicators on the urban and regional economy, which has been carried out on a case-by-case basis in Ardabil city. The current research is applied in terms of its nature and descriptive, analytical and survey method. The statistical population of the research includes 15 experts and specialists. A questionnaire was used to collect data. The validity of the research was obtained using face validity and the reliability of the questionnaire was obtained using Cronbach's alpha 0.828. In order to analyze the data and prioritize the indicators in terms of effectiveness, the EDAS multi-criteria decision making model was used in the form of Excel software. The results of the application of the mentioned model showed that among the selected indicators, the physical-spatial index with the highest score (1) is in the first place and the human resource management structure index with the lowest score (0.728) in the first ranks, respectively. They are placed last.

Cities as a suitable place and urbanization as a desirable way of life are considered to be one of the most important centers of development. Meanwhile, cultural traditions as an important category in sustainable urban development with the penetration and influence of capitalist culture in the third world, including Iran, have caused heterogeneous urban concentration and accelerated urban growth. In order to solve the upcoming challenges, several viewpoints have been formulated in order to achieve sustainability; One of the newest and most successful approaches is the Peaceful City movement, which was created as a cultural movement to increase the quality of life and reduce speed in cities. Based on this, the current research has been compiled with the aim of investigating the role of cultural traditions on the sustainable development of Ardabil city with the approach of Aram city, for future planning. This research is applied in terms of purpose and descriptive-analytical in terms of method. The data required for this study have been collected through field and documentary methods. The statistical population of the research corresponds to the 5 regions of Ardabil city. To rank the 5 regions of Ardabil city in terms of Shahr Aram indicators, Vicor's multi-criteria decision making model was used in the Excel environment. Shannon's entropy model has also been used to weight the indicators. The findings of the research indicate that the average of the indicators was below the average, so that except for the infrastructure index, the average of all the indicators was less than 3. The results obtained from the implementation of the Vicor model also show that the highest rank belongs to region two and the lowest rank belongs to region one.