- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Land suitability analysis is becoming critical in determiningtheland resource whichis suitable for some specific uses. The city administrators and planners are faced with difficulties in supplying facilitieslike availing of green space duetothe dynamic urban growthtrends.The paper assesses suitable sites for urban green space using geographic information system (GIS) multicriteria analysis methods. Numerous spatial and non-spatial datasets were obtained from different organizations and processed using GIS tools and remote sensing techniques for suitable site selection process. The suitability analysis was done in GISbased multi-criteria decision analysis steps. Analytical hierarchy process of a pairwise comparison matrix was created and criteria weights were calculated for each factor. Based on GIS-based MCA, 49.76, 4.15, and 24.04% of the study area identified as less suitable, highly suitable and moderately suitable for green space development, respectively.
The urban/built-up areas in Addis Ababa have expanded dramatically, while green areas declined. According to the new City Development Plan (2001–2010), the city has currently consumed more than 75% of its areas for development, leaving little space for green areas. This unprecedented growth is beyond the city’s bearing capacity within its current socioeconomic, physical, and administrative situation. Added to these prime problems, the city is challenged by expanding squatter settlements, rising traffic congestion and more pollution, lack of green spaces, and inadequate water supply and sanitation.
From the analysis, we can see that the rapid urbanization in the city of Addis Ababa has given little room for green area development. Land suitability analysis is a critical element in determining areas suitable for some specific purposes such as green space development. However, proposing suitable sites for green space development using suitability analysis is a cumbersome job involving multi-criteria decision analysis steps.
The classification achieved in this study indicates that large area is less suitable for park development in the existing situation (49.76% of the area). As demonstrated in this study, remote sensing and GIS technologies can play a crucial role in urban research and help to get up-to-date information about the urban LULC dynamics with frequent coverage and low cost.