Advancing Urban Analytics: GeoAI Applications in Spatial Decision-Making and Sustainable Cities

Source abstract

The rapid growth of geospatial data and advances in artificial intelligence (AI) have driven GeoAI’s rise as a key paradigm in urban analytics. GeoAI methods support spatial planning, risk assessment, and policymaking in cities facing climate change, socio-economic disparities, and environmental challenges. Recent research highlights improvements in methodology, decision-making support, and impacts on resilience, social inclusion, and fair governance. However, this review also addresses ongoing issues such as data access, model transparency, ethical concerns, and the varying relevance across Global North and Global South contexts. It explores opportunities to use GeoAI to enhance climate resilience, alleviate poverty, foster inclusive urban strategies, and develop better cities, while suggesting future research to ensure that GeoAI advances are fair, transparent, and aligned with urban policy goals.