• Home
  • Multi-Criteria Decision-Making Models
    • List of Articles Multi-Criteria Decision-Making Models

      • Open Access Article

        1 - Ranking Development of Urban Neighborhoods in Terms of Public Green Space Using Multi-Criteria Decision-Making Methods in GIS environment. Case Study: Ardabil
        Alireza Mohammadi Hojat Arzhani Sayed Milad Hoseeini
        Appropriate distribution of urban green spaces is very important to increase of spatial justice in the cities. City of Ardabil is among the cities that faced with the problem of the imbalance in the distribution of public parks and green spaces. The per capita public gr More
        Appropriate distribution of urban green spaces is very important to increase of spatial justice in the cities. City of Ardabil is among the cities that faced with the problem of the imbalance in the distribution of public parks and green spaces. The per capita public green space in the city of Ardabil is 7.30 square meters. This amount is lower than the green space standards of the United Nations Environment Program (20 to 25 square meters per person) and lowers than the standards of Iran’s urban green spaces (12 square meters). This study by using of 9 key indicators has ranked 44 neighborhoods of the Ardabil city in terms of access to the parks and public green spaces. Research data gathered from the Ardabil City Municipality Department of Parks and Green Spaces and in the next step, have been corrected by using of field study in the year 2016. Multi-criteria decision-making methods, including TOPSIS, VIKOR, SAW and COPLAND have been used for analyzing, ranking and integration of final results. The findings of this research show that in terms of public green space indicators, 14 neighborhoods of the city are developed, 15 neighborhoods are semi developed and 15 neighborhoods of the city are poor in access to the appropriate public green spaces. Finally, based on the findings, recommendations were presented. Manuscript profile