Urban Intelligence: Navigating Climate Challenges With AI
| dc.contributor.author | Sathianarayanan, Manikandan | |
| dc.contributor.author | Kirdemir, Umut | |
| dc.contributor.author | Gianoli, Alberto | |
| dc.date.accessioned | 2025-07-03T21:17:53Z | |
| dc.date.issued | 2024 | |
| dc.department | Balıkesir Üniversitesi | |
| dc.description.abstract | In the rapidly evolving landscape of urbanization, cities face unprecedented challenges due to climate change. As frontline battlegrounds against global warming, urban areas increasingly rely on AI to bolster resilience and sustainability. This chapter explores AI’s role in shaping urban resilience, drawing from research and real-world applications. AI revolutionizes climate modeling, using vast datasets and machine learning to create predictive models that anticipate and mitigate impacts like extreme weather and sea-level rise, enabling proactive urban planning.AI also enhances smart infrastructure and resource management, optimizing energy use, water resources, and transportation to minimize ecological footprints. Through real-time monitoring and adaptive systems, cities can respond to environmental changes, ensuring infrastructure resilience. AI democratizes decision-making by empowering citizen participation in climate efforts. Open data, cross-sector partnerships, and collaborative research drive innovation, accelerating the transition to climate-resilient urban futures. © 2025 by IGI Global Scientific Publishing. All rights reserved. | |
| dc.identifier.doi | 10.4018/979-8-3693-5918-1.ch003 | |
| dc.identifier.endpage | 90 | |
| dc.identifier.isbn | 979-836935920-4 | |
| dc.identifier.isbn | 979-836935918-1 | |
| dc.identifier.scopus | 2-s2.0-105007383455 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.startpage | 59 | |
| dc.identifier.uri | https://doi.org/10.4018/979-8-3693-5918-1.ch003 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12462/21090 | |
| dc.indekslendigikaynak | Scopus | |
| dc.language.iso | en | |
| dc.publisher | IGI Global | |
| dc.relation.ispartof | Nexus of AI, Climatology, and Urbanism for Smart Cities | |
| dc.relation.publicationcategory | Kitap Bölümü - Uluslararası | |
| dc.rights | info:eu-repo/semantics/closedAccess | |
| dc.snmz | KA_Scopus_20250703 | |
| dc.subject | Resource allocation | |
| dc.subject | Risk perception | |
| dc.subject | Urban transportation | |
| dc.subject | Water management | |
| dc.subject | Climate challenges | |
| dc.subject | Extreme weather | |
| dc.subject | Frontline | |
| dc.subject | Machine-learning | |
| dc.subject | Predictive models | |
| dc.subject | Real-world | |
| dc.subject | Sea level rise | |
| dc.subject | Smart infrastructures | |
| dc.subject | Urban areas | |
| dc.subject | Urban resilience | |
| dc.subject | Global warming | |
| dc.title | Urban Intelligence: Navigating Climate Challenges With AI | |
| dc.type | Book Chapter |












