ID: 1607
Presenting Author: Mutasem El fadel
Session: 665 - Planning Support Systems for Environmental Assessment and Urban Decision-Making
Status: pending
Understanding the complex interactions among Sustainable Development Goals
This study proposes a novel hybrid methodology combining Inner Composition Alignment (IOTA) and correlation analysis with network centrality measures to understand the complex interactions among Sustainable Development Goals (SDGs). Using the United Arab Emirates as a pilot test area, over 5,000 potential indicator pairings across 16 SDGs were analyzed. The results revealed a mixed landscape of interactions: 57.6% were synergistic, while 42.4% represented trade-offs. Goal-level analysis identified SDGs 3 (Good health and well-being), 6 (Clean water and sanitation), and 10 (Reduced inequalities) as having the highest net positive interactions, while SDGs 7 (Affordable and clean energy), 8 (Decent work and economic growth), and 15 (Life on Land) exhibited the strongest net negative interactions. At the indicator level, while 54.8% demonstrated positive influence, 23.3% exhibited negative effects, highlighting the importance of indicator-specific analysis for policy planning. The multi-metric centrality and net influence analysis recognized leverage points for intervention, providing a context for SDGs prioritization that consider synergies and trade-offs.
Professor & Chairperson, Department of Civil & Environmental Engineering, Khalifa University, United Arab Emirates. Served as Environmental Safeguard Consultant, World Bank, MENA region.
Coauthor 1: Lea Issa