Geospatial analysis of urban green space enjoyment in Mashhad metropolis based on Multi-Criterion Spatial Decision Support System (MC-SDSS)

Authors

DOI:

https://doi.org/10.12775/bgss-2026-0019

Keywords

geography, planning & development, urban green space, sustainable development, multi-criteria spatial decision support system, Mashhad metropolis

Abstract

This study conducts a spatial analysis of sustainable development in Mashhad, Iran's second-largest metropolis, focusing on urban green space (UGS) enjoyment. Utilizing a descriptive-analytical approach paired with the multi-criterion decision-making (MCDM) method, the assessment encompasses the city's 13 districts. Data analysis was performed using ArcMap software, categorizing the districts into five development levels: very developed, developed, relatively developed, deprived, and very deprived. The key statistical findings are as follows: The spatial analysis reveals a Moran's I index of 0.19, indicating a clustered distribution and spatial autocorrelation in the availability of green spaces across Mashhad's districts. Additionally, the analysis of the G statistic shows no significant local clustering or hot/coldspot patterns. ...

Author Biography

Qadir Siaami

Assistant Professor of Geography and Urban Planning, Faculty Member, Department of Urban Planning and Architecture, Imam Reza International University, Mashhad, Iran

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Bulletin of Geography. Socio-economic Series

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Published

2026-05-22

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1.
SIAAMI, Qadir, BAGHBAN KHIABANI, Sajedeh and JAHAN TIGH, Mina. Geospatial analysis of urban green space enjoyment in Mashhad metropolis based on Multi-Criterion Spatial Decision Support System (MC-SDSS). Bulletin of Geography. Socio-economic Series. Online. 22 May 2026. No. 72, pp. 125-139. [Accessed 22 May 2026]. DOI 10.12775/bgss-2026-0019.

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No. 72 (2026): June

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Copyright (c) 2026 Qadir Siaami, Sajedeh Baghban Khiabani, Mina Jahan Tigh

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