Intelligent Decision Support Systems for Smart City Applications 1st Edition
Intelligent Decision Support Systems for Smart City Applications (1st Edition) by Loveleen Gaur, Vernika Agarwal, and Prasenjit Chatterjee is a timely guide that equips urban professionals with the tools to turn data into decisive action. If you’re working on smart city initiatives, urban governance, or civic technology, this book delivers a clear path from complex data streams to practical, scalable solutions.
Discover evidence-based frameworks and intelligent system designs that integrate IoT, big data analytics, and machine learning for improved mobility, energy management, public safety, and citizen services. Written in an accessible yet authoritative voice, the book bridges theory and practice—making advanced concepts usable for planners, data scientists, policy makers, and graduate students alike.
What sets this edition apart is its focus on real-world applicability: practitioner-oriented methodologies, decision-making models, and examples drawn from diverse urban landscapes—relevant to cities across Asia, Europe, and North America. Whether you’re developing predictive traffic models for Bangalore, optimizing energy systems for European municipalities, or designing citizen-feedback platforms for North American towns, you’ll find actionable guidance and strategic insights.
Packed with clear explanations, illustrative use-cases, and a pragmatic approach to deployment and governance, this volume helps stakeholders make smarter, faster decisions that improve urban livability and resilience.
For professionals, researchers, and civic leaders seeking a dependable roadmap to intelligent urban systems, this book is an essential reference. Order your copy today and start transforming urban data into better decisions for your city.
Note: eBooks do not include supplementary materials such as CDs, access codes, etc.


