فهرست نشریات علمی دسترسی آزاد ایران

The rapid expansion of metropolitan areas and the resulting fragmentation of green spaces have intensified concerns regarding ecological functionality and spatial justice. This study assesses the structural connectivity of the green space network in the Tehran Metropolitan Area by applying core principles of landscape ecology, with an emphasis on horizontal linkages across micro, meso, and macro spatial scales. Using Sentinel-2 satellite imagery and object-based classification, three key landscape metrics—Percentage of Landscape (PLAND), Proximity Index (PROX), and Landscape Shape Index (LSI)—were calculated within a 500-meter moving window and integrated into a Composite Connectivity Index (CCI). Spatial modeling and analysis were performed using eCognition Developer, GIS, FRAGSTATS, and Expert Choice software. Results indicate pronounced spatial inequalities in green space connectivity. Northern neighborhoods such as Baharan, Darband, Niavaran, Darakeh, Ghasemabad Dehnarmak, Jamaran, Tajrish, and Shahrak-e Gharb demonstrate the highest connectivity levels. In contrast, neghborhoods such as Northern Afsariyeh, Karun, Salsabil, Imam Khomeini, Vahidieh, Majidieh, and Dehghan reveal extremely low connectivity, underscoring severe fragmentation. A sharp north-south divide is evident, with districts 1, 2, 3, 4, and 5 showing high connectivity, while fourteen central districts exhibit limited structural integration. Southern districts (15, 16, and 20) display moderate conditions. The new index—capturing patch proportion, spatial proximity, and shape complexity—offers a practical and scalable tool for assessing and enhancing the performance of urban green infrastructure. Addressing these connectivity inequalities requires prioritizing structural enhancement over mere expansion to advance both ecological resilience and equitable planning.