Jamal Shahrabi
Papers
1
Total Citations
12
H-Index
1
About
Jamal Shahrabi is a leading researcher in spatial data analysis and urban planning, with a focus on optimizing facility location and resource allocation. His work addresses critical challenges in how organizations and governments strategically position resources to maximize efficiency and accessibility. Shahrabi’s most cited paper, "New spatial clustering-based models for optimal urban facility location considering geographical obstacles" (2014, 12 citations), introduces innovative clustering algorithms that account for real-world barriers like rivers or highways, moving beyond traditional distance-based models. This contribution has provided a robust framework for integrating geographical obstacles into decision-making, directly impacting urban infrastructure development and public service planning. By bridging spatial data science with practical urban management, Shahrabi’s research offers actionable insights for policymakers and planners. His work continues to influence the design of more equitable and efficient urban systems, making him a key figure in the advancement of spatial optimization techniques.
Research Focus
Key Achievements
Top Papers
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