multi-criteria decision-making methods

City Development Strategy (CDS) based on institutional and community capacity building is among the most widely used and effective methods in targeted city development by creating appropriate interactive platforms between all associated agencies in urban management. Undoubtedly, the current governing rules and regulations provide integrated urban management and are the most critical executive tools in this field, which are different in different parts of the world. Social participation is considered the most basic executive guarantee of integrated urban management. This article examines CDS based on institutional and community capacity building in the Karaj Metropolis using a descriptive-analytical method. SWOT-DEMATEL and SWOTAHP methods were used to analyze the data. According to the results of the DEMATEL method, management and environmental institutional variables were the most effective and affected variables according to the Di-Ri values, respectively. Also, the findings of Expert Choice indicated that the WT strategy (with a final score of 0.254) was the best CDS in the Karaj Metropolis. It was also found that SO and WO strategies had the highest and lowest sensitivity in the urban development of the Karaj Metropolis, respectively. Therefore, institutional and community capacity building significantly impacts different aspects of urban development.

The purpose of this study was to determine the spatial pattern of urban green space distribution applying the Network Analysis Process Model (ANP) and VIKOR (Case Study: District 5 of Tehran). After the Islamic Revolution, due to various reasons such as overflow of population to Tehran from the central and southern regions and the flood of refugees to Tehran, it has faced with the increase in population and development, which makes it important to study the distribution of green space in different parts of the city. Two types of questionnaires were used. The first questionnaire was completed by available sampling method from the participants in the parks of the area. The results were then analyzed using the VIKOR model. The second questionnaire was distributed among the relevant experts and analyzed using the ANP method. Considering the fact that the factors such as appropriate equipment, size and suitability for children had the highest weight, it is suggested that places for green space in the studied area should be determined in order to increase the number of green spaces. It is because, location was mentioned as an important factor. This can be achieved through the construction of parks in places close to residential areas away from military and arterial locations. Areas 5 and 2 suffered from the lack of green space and residents' dissatisfaction with the green space, thus being recommended; these are the first areas to increase green space and improve it by the municipality of the region.

The main purpose of this research is to analyze the location of industrial towns in Bostanabad city using multi-criteria decision-making methods. The research method is descriptive-analytic and to collect data and information from documentary studies, library, questionnaire And related organizations. For this purpose, after selecting the criteria and categorizing them in four groups, questions and questionnaires were prepared. In the next stage, with a survey of 20 experts and experts, questionnaires were collected and used. has taken. In order to identify the criteria and sub-criteria in order to identify and determine their weight, the AHP model was used in the Expert selection software. Then, applying the weights of the AHP model in the GIS environment, we applied the land zoning of Bostanabad province, using the model ELECTRE The most suitable areas of fifty hectares have been evaluated and ranked according to the 16 important criteria involved in the optimal location of industrial settlements, and the most suitable places to assess the current location of industrial settlements and their proper location in the city Bostanabad has been identified. According to the results obtained by the experts for filling the questionnaire, the highest value is assigned to the geomorphological-geological criteria. Also, the results of the comparison of the selected zones indicate that the location of any industrial city in the studied city Not based on principles and rules of location.

Given the increasing growth of urban population, limitation of land and services, also, increasing demand for housing, economic and environmental limitations; high-rise building is a proper solution to control the physical growth of cities. Therefore, identification of suitable zones for construction of high-rise buildings is essential, and of great importance for the proper growth of the city. The aim of this study is to determine the appropriate zones with high potential for the construction of high-rise buildings in the city of Ardabil. In this study, the MCDM methods, including VIKOR and ANP, also 19 subcriteria of 4 main criteria, were used to determine the suitable zones. We benefited EXCEL, GIS, and SELVA IDRISI softwares for data analyzing. Research findings suggest that the east, west and north-east zones of the city, have more potential for high-rise building construction. So that high-rise construction in these zones can lead to proper distribution of construction and population in the city. In conclusion, appropriate zones for the establishment of the high-rise buildings in Ardabiil city, are suggested.

Recognizing and surveying facilities and abilities and determining the levels of development in rural areas are the first steps in planning and developing process. To this end, this study aims to assess the levels of development in Ardabil villages by utilizing multi-criteria decision making methods. This research is based on the functional goal and descriptive analysis nature. Statistical population includes 10 villages in Ardabil. The required information includes 76 variables in 7 criteria that were taken from General Population and Housing Census and statistical yearbook 2011. Vikor’s multi-criteria decision making method, Electra and Taxonomy are used to assess the rate of development. Furthermore, we tested the assumptions by using Kendall tau rank correlation in SPSS software. The results of the decision making techniques based on average ranks revealed that villages were not in a balanced situation in terms of developmental criteria, so that out of 10 Ardabil villages 6 of them were developed, 2 of them were semi-developed and 4 of them were not developed. Also, the findings of Kendall tau test showed that there was no significant relationship between two population variables and adjacency of the villages to the county and the obtained average rank. These two components had no effect on rural development, but there was a significant relationship between the employment variable and the average rank in each village which brings the employment percentage with a positive effect on levels of development. Based on the results, some strategies are presented to make and perform the plans in order to have an integrated and balanced development in the county.

The construction of new facilities, especially health care facilities, is an important issue in all countries. In depth study is needed to construct new hospitals in any region, since it must assess the best places in terms of spatial, temporal, environmental, social and economic characteristics. So in this study, after preparing the required layers of information (including the distance to arterial roads, distance to faults, population density, pollution and travel time) in GIS, the weight of each layers are determined by AHP methodology that is constructed by expert opinion. Base on the selected criteria, the estimated weights, and the results of PSO algorithm for the construction of a hospital, 30 desirable sites are specified. The final step in the choosing of optimal location is the implementation of PROMETHEE method for the 30 proposed sites. The proposed combination procedure is designed and implemented in a case study. With the addition of a new hospital at the optimum site, the coverage of area index improved over about 5.7 percent that indicates the superiority of our proposed model.