Application of GIS and Topsis Techniques in Analyzing and Prioritizing of Urban Green Space Case Study: Dehgolan City
Subject Areas :
Hossein
Hataminejhad
1
(Ph.D. Assistant Professor, Geography and Urban Planning, Faculty of Geography , Tehran university, Tehran, Iran)
Mohammad
Waysian
2
( Msc. Geography and Urban Planning, Kharazme University, Tehran, Iran)
Naser
Mohammadi varzaneh
3
(Msc, GIS, Science and Research Campus, Islamic Azad University, Iran)
Adel
Alizadeh
4
(Msc. Geography and Urban Planning, Sistan and Balochestan University, Iran)
Keywords: prioritization, urban green space, Dehgolan city,
Abstract :
Today lack of urban green space is the basic problem of cities. Urban green space is one of the very important land use problems in the city and minimum per capita green space also is a criteria for assessment and determination of sustainable cities. DEHGOLAN city in one of cities that does not have the proper distribution of green space, so that its per capita is 57/2 square meters per person. In this city, some neighborhoods do not have any green space and some neighborhoods have more green space. This article aims to provide a suitable model for optimal distribution of green space in city, according to components such as population, communication networks, facilities, space, security and arid areas in the neighborhoods. The deployed research methods is descriptive - analytical and data was collected based on field surveys. TOPSIS and GIS techniques have been used in this study. According to above criteria, each neighborhood has been studied and analyzed separately. Prioritization of green space in the first phase was conducted in six step of TOPSIS. Results in this phase showed that the KLE_MLE district have first priority for green space allocation. In the second stage, firstly the data was collected and database in GIS was formed, then according to the importance of each criteria in green space, appropriate weights were assigned. The results of GIS and TOPSIS combined and KLE_MLE district with /0537 (CL) was taken in the first place. The final result of this study indicates the important applications of TOPSIS and GIS in urban green space Prioritization and provides optimum dispersion pattern based on the criteria and needs of the urban population.
