edas

New urbanism is one of the most important movements related to the design of urban spaces, which aims to create a better space for citizens. The plans presented from the point of view of New urbanism include new changes and developments in the urban area, urban renewal and the preparation of a map of the suburbs. EDAS and BWM models have been used in this research. This research is applied-theoretical in terms of purpose and descriptive-analytical in terms of nature and method. The required information and data have been collected through library and field methods. In this study, the effective indicators are: land acquisition cost, land area, distance to the main road network, distance to high-traffic streets, adjacent land use type, distance to commercial centers, distance to service centers, distance to pilgrimage centers, distance to historical centers, distance to medical centers, distance to educational centers, population density of the region and distance to administrative centers. These indicators have been weighted using the best-worst method, whose calculations were performed by Lingo software. Then, with the Idas method, the calculations of which are done in Excel software, the desired options are ranked. The results show that the land price index received the most weight, and the indicators of distance to medical centers and distance to high-traffic streets were ranked second and third, respectively. Then, using the Idas method, the final ranking has been done and the best option of the railway land has been introduced, and after that, Ahvaz commercial complex has been selected as the second option.

Segregation is a topic worthy of attention in most cities of the world; selective segregation causes a strong focus on poverty and the emergence of the lower classes, which can cause the spread of many problems in the city. Based on this, the present research has been conducted to analyze and rank the factors affecting concentration and segregation in Ardabil city, with an emphasis on economic criteria. This research is practical in terms of purpose and descriptive, and analytical. In order to collect data, documentary and field methods have been exerted. Documentary data have been extracted from the report of Iran Statistics Center related to Ardabil city (2017). Also, in order to measure the average income, employment, wealth, and land price, the field method and questionnaire distribution have been exploited. The statistical population of the research consists of citizens of Ardabil city; 383 people were estimated as a sample based on Cochran's formula. In this research, Geo-Segregation software used segregation indices to measure segregation in Ardabil city. Finally, the indicators were ranked using the critical weighting method, and the regions using the EDAS technique. The results obtained from the Geo-Segregation software indicate that the life expectancy index is observed equally in the regions of Ardabil city. However, income and employment indicators are more difficult than other indicators. Also, District 3 of Ardabil, with the highest score, is in privileged status, and District 4, with the lowest score, is in deprived status compared to other regions. Such inequality distribution has caused the level of satisfaction of people from the residential neighborhood to social comparison. As a result, the feeling of deprivation and social inequality undergo fundamental changes, requiring more attention from management and urban planning

Urban management in the current decade is associated with many political, social, economic, environmental, legislative and technological complications and challenges. The smart city concept as a new framework for urban management can help reduce many challenges and problems of urban management. In the process of developing a smart city, the intertwined relationships between the influencing elements are greatly intensified. Therefore, to evaluate and measure the changes in these factors and their potential secondary effects on each other, the use of advanced dynamic systems is mandatory. To realize the development of a smart city, it is necessary to use futuristic tools to create justified and desirable futures with the participation of all key stakeholders. In this research, to identify and prioritize the drivers of smart city management in the framework of strategic foresight, the combination of Meta-Synthesis and Edas methods have been used. Methodologically, a combination of different methods has been used to collect data and information. By using the literature review summarized by Meta-Synthesis method, the key factors of smart city management have been identified. Based on this, all the information and data obtained from the previous step have been collected in the treasury and subsequently, the frequency table of the factors affecting the management of the smart city has been identified. In the last step, the outputs of the Meta-Synthesis method were used for ranking and identifying key drivers by using the  Edas method. Finally, in this research, the researcher has presented a step-by-step process to identify the drivers of smart city development and has extracted 9 final drivers with the greatest impact on smart city management.

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.

The accelerated urbanization of Iranian cities after the 40s the underlying causes of the formation of deteriorated areas within the city and the formation of worn urban tissues. The purpose of this study was to explain the factors that contribute to urban dysfunctional tissue in Zanjan, It has used two methods of library and field to gather information. MicMac Software has been used to investigate the relationship, effects and extraction of key factors and to display the distribution of these factors at the district level the hotspot model was used in the GIS environment. In order to level the areas of Zanjan city in terms of key factors the EDAS decision model was used in order to determine the weight and importance of each factor in the EDAS model the ANP model is used. And the results showed that among the 31 indicators studied 8 indicators have the most impact as key factors in deteriorated. And the distribution of key factors has shown the deteriorated of urban areas using the hotspot model, the greatest deteriorated is in the form of clusters with hotspots in the central part of the city, south and southwest of Zanjan. Finally, the leveling of the areas of Zanjan city in terms of key factors showed that the highest inefficiencies are belongs to areas 5-2 and 1-1 that thay are located in the center and south of the city and next time the areas 2-1 and 3-1, that they are located in the southwest of the city. In fact, it has threatened the all-round inefficiency for these areas. In contrast to area 6-4 in the northeast of the city and next time, areas5-4 in the south and areas 4-3 in the north of the city had the least deteriorated.

Hospitals are among the most essential human services whose role in the health of the citizens is very important. One of the important issues related to hospitals in developed cities is determining the optimal location for their construction. In this study, in order to select the optimal hospital location, a combination of expert opinions, GIS, and MCDM was used. For this purpose, 12 criteria were selected for the spatial modeling of the potential areas of hospital establishment, and then the weight of each criterion was calculated using the weighting method of Analytic Network Process (ANP). Then, a map of the potential areas for the hospital establishment was prepared and 11 sites in the potential areas were selected. In the next step, the weight of each criterion was determined again using Criteria Importance Through Intercriteria Correlation (CRITIC) method. Then, by the integration of two weighting methods, i.e., ANP and CRITIC, with two MCDM methods, i.e., EDAS and VIKOR, these sites were ranked. The results of spatial modeling showed that the western half of the district is more suitable for the construction of a new hospital than the other areas. According to the results of the ANP, the distance from hospitals, and according to the results of the CRITIC, the seismic vulnerability were the most important criterions in determining the optimal hospital location. Based on the ranking results coming from CRITIC-EDAS, CRITIC-VIKOR, and ANP-EDAS, the site No. 1, and according to the ranking results of the ANP-VIKOR, the site No. 8 have been the most suitable places for the construction of a new hospital. In the light of the results of the site evaluations by experts, CRITIC-EDAS and CRITIC-VIKOR methods are more accurate for hospital location selection.