Large Language Models for Sustainable Urban Development (The Springer Series in Applied Machine Learning)
By: and and and
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- Synopsis
- With rapid urbanization defining the 21st Century, cities face mounting challenges in achieving sustainability, equity, and functionality. This book explores how innovative technologies such as Artificial Intelligence (AI) and Large Language Models (LLMs) can transform urban development by offering intelligent, data-driven solutions. LLMs go beyond automation, acting as co-creators in addressing environmental sustainability, resource management, and equitable development. By analyzing regulations, best practices, and real-time data on phenomena such as air pollution and traffic, these models empower urban planners to design smarter, more sustainable cities while fostering collaboration across disciplines. Divided into five sections, the book explores the diverse applications of LLMs, from optimizing renewable energy systems and enhancing urban planning to revolutionizing construction practices and improving resource efficiency. It highlights case studies on integrating AI with smart infrastructure, ecological balance, and disaster resilience. While underscoring their transformative potential, the book also examines ethical considerations such as bias, privacy, and environmental impact. More than a collection of research, this work is a call to action for urban planners, data scientists, policymakers, and researchers to harness AI responsibly in building greener, more equitable urban futures.
- Copyright:
- 2025
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031860393
- Related ISBNs:
- 9783031860386
- Publisher:
- Springer Nature Switzerland
- Date of Addition:
- 07/30/25
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Art and Architecture, Computers and Internet, Politics and Government
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Nitin Liladhar Rane
- Edited by:
- Suraj Kumar Mallick
- Edited by:
- Jayesh Rane
- Edited by:
- Chaitanya Baliram Pande
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- by Chaitanya Baliram Pande
- by Nitin Liladhar Rane
- by Suraj Kumar Mallick
- by Jayesh Rane
- in Nonfiction
- in Art and Architecture
- in Computers and Internet
- in Politics and Government