Smart Infrastructure Management

Capture the future of cities and critical networks with Smart Infrastructure Management, a definitive guide by Shi Qiu, Qasim Zaheer, Jin Wang, and Chengbo Ai. This book translates advanced theory into practical strategies for optimizing roads, bridges, utilities, and transit systems using IoT, AI, and data-driven lifecycle planning.

Discover proven approaches to real-world challenges faced by urban planners, civil engineers, asset managers, and municipal leaders. Detailed chapters cover sensor networks, digital twins, predictive maintenance, risk and resilience modeling, performance-based budgeting, and sustainability metrics—equipping professionals to reduce downtime, cut costs, and extend asset lives across cities from Shanghai and Singapore to London and New York.

Packed with case studies and best practices, the text balances technical depth with actionable recommendations. Learn how to implement condition-based monitoring, prioritize interventions with data analytics, and align infrastructure management with climate adaptation goals and regulatory demands. The authors bridge academic rigor and field experience to support smarter procurement, stakeholder engagement, and cross-disciplinary collaboration.

Whether you’re responsible for a municipality, utility, transportation agency, or private infrastructure portfolio, this book shows how to shift from reactive repairs to strategic, predictive stewardship. Practical checklists and decision frameworks make it easy to pilot projects and scale solutions across regions and asset classes.

Build more resilient, efficient, and sustainable infrastructure today. Invest in the knowledge that helps cities thrive—order Smart Infrastructure Management and transform how you plan, operate, and preserve vital systems for generations to come.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.