Research Information System
Due to its alignment with sustainable development goals, rooftop agriculture has gained increasing interest from communities and decision-makers, especially in recent years. These practices increase local food production and security, reduce logistical needs and promote self-sufficiency. Furthermore, rooftop agriculture reduces the urban heat island effect, reduces cooling energy consumption in buildings and contributes to climate neutrality by increasing green spaces. The integration of geographic & imath;nformation systems (GIS) and multi-criteria decision analysis (MCDA) enables holistic and simultaneous analysis of various spatial criteria. GIS-based decision analyses guided by expert opinions support economic and sustainable site selection decisions based on predetermined priorities. In this study, GIS and MCDA were integrated to identify potential suitable areas for rooftop agriculture in & Idot;stanbul. Analytical hierarchy process (AHP) was used for weighting the criteria and the technique for order of preference by similarity to ideal solution (TOPSIS) was used for ranking the suitable areas. According to the results, the suitability of rooftop agriculture is concentrated in districts with high population, good transport connectivity and dense green areas such as Bak & imath;rkoy, Basaksehir, Besiktas, Beykoz, Kad & imath;koy, Kucukcekmece, Sar & imath;yer and uskudar. Among the listed suitable areas, Caddebostan, Gokturk Merkez and Fenerbahce neighbourhoods were identified as the most ideal locations for rooftop agriculture in & Idot;stanbul.
