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Smart Infrastructure Management
- 1st Edition - June 1, 2025
- Authors: Shi Qiu, Qasim Zaheer, Jin Wang, Chenbo Ai
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 0 1 7 - 8
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 0 1 8 - 5
People and businesses rely on transportation networks every day, but what happens when critical assets break unexpectedly, or worse, when they pollute our environment and threaten… Read more
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Request a sales quotePeople and businesses rely on transportation networks every day, but what happens when critical assets break unexpectedly, or worse, when they pollute our environment and threaten our natural resources? Smart Infrastructure Management is an up-to-date, inter-disciplinary exploration of this intricate and dynamic landscape, with the overarching aim of providing theoretical and practical understanding of state-of-the-art technologies that can effectively support a variety of stakeholders in the decision-making process throughout the entire lifecycle of an infrastructure project.
The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies for modern-day infrastructure management, with a narrative that traverses the complex frameworks of different domains to coordinate a transformative, fully integrated approach. Data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, decision support systems, and the transformative influence of smart cities contribute to the book’s breadth and depth. Real-world case studies are strategically interwoven throughout, offering tangible examples of encouragingly successful implementations and valuable lessons learnt. The appeal of the investigation is thus expanded from researchers and students to professionals across diverse fields, ensuring that actionable strategies are incorporated in industry practice too — paramount for the improvement of infrastructure capabilities in step with society’s ever-changing needs.
The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies for modern-day infrastructure management, with a narrative that traverses the complex frameworks of different domains to coordinate a transformative, fully integrated approach. Data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, decision support systems, and the transformative influence of smart cities contribute to the book’s breadth and depth. Real-world case studies are strategically interwoven throughout, offering tangible examples of encouragingly successful implementations and valuable lessons learnt. The appeal of the investigation is thus expanded from researchers and students to professionals across diverse fields, ensuring that actionable strategies are incorporated in industry practice too — paramount for the improvement of infrastructure capabilities in step with society’s ever-changing needs.
- Connects a robust theoretical foundation with real-world application attempts spanning various critical assets, including tracks, bridges, and roads
- Leverages the latest developments in technology and infrastructure management best practices to address current challenges
- Offers valuable insights into future trends, fostering further research endeavors
- Acknowledges the pressing need to correlate economics, resilience, and sustainability facets into project decision-making
Graduate students, researchers, and academics in transportation science (geography, planning, operations, and management), urban studies, civil engineering, as well as computer science applied to these areas.
1.Introduction to Infrastructure Management
2.Fundamentals of Computer Science for Infrastructure Management
3.Data Collection and Sensors in Infrastructure Management
4.Infrastructure Modeling and Simulation
5.Asset Management and Maintenance
6.Computational Techniques
7.Cybersecurity in Infrastructure Management
8.Decision Support Systems
9.Smart Cities and Infrastructure Management
10.Future Trends and Challenges
11.Case Studies
12.Conclusion and Future Directions
2.Fundamentals of Computer Science for Infrastructure Management
3.Data Collection and Sensors in Infrastructure Management
4.Infrastructure Modeling and Simulation
5.Asset Management and Maintenance
6.Computational Techniques
7.Cybersecurity in Infrastructure Management
8.Decision Support Systems
9.Smart Cities and Infrastructure Management
10.Future Trends and Challenges
11.Case Studies
12.Conclusion and Future Directions
- No. of pages: 320
- Language: English
- Edition: 1
- Published: June 1, 2025
- Imprint: Elsevier
- Paperback ISBN: 9780443340178
- eBook ISBN: 9780443340185
SQ
Shi Qiu
Shi (Sheldon) Qiu is a Professor in the School of Civil Engineering at Central South University (CSU). From 2015 to 2019, he was an Associate Professor at the Beijing University of Technology after serving as a postdoctoral fellow at the University of Texas in 2014. With a PhD in Civil Engineering from Oklahoma State University (2013), an M.S. and a B.S. in Management Science from Beijing Jiaotong University (2009, 2007), his interdisciplinary research focuses on transportation (pavement, airport, rail) and municipal (e.g., utility tunnels) infrastructure development, performance measurements, and intelligent infrastructure asset management and operation. Dr. Qiu currently also serves as the executive deputy director of the Research Center for Railway Infrastructure Smart Monitoring and Management at CSU. He has published extensively on these topics in leading academic journals. He has also been awarded numerous research grants from government agencies and industry sponsors to support his work, which is making significant contributions to the field of civil engineering and infrastructure monitoring.
Affiliations and expertise
Professor, School of Civil Engineering, Central South University, Changsha, Hunan, ChinaQZ
Qasim Zaheer
Qasim Zaheer is an accomplished PhD scholar and researcher, affiliated with the School of Civil Engineering at Central South University since 2022. His current research focuses on intelligent monitoring techniques for rail transit infrastructure, and he is working under the expert guidance of Dr. Qiu at the Research Center for Railway Infrastructure Smart Monitoring and Management.
Affiliations and expertise
PhD Scholar and Researcher, School of Civil Engineering, Central South University, Changsha, Hunan, ChinaJW
Jin Wang
Jin Wang is a researcher and Assistant Professor affiliated with the School of Civil Engineering at Central South University. He was awarded his PhD degree in Transportation Management Engineering from Beijing Jiaotong University. For several years now, he has been dedicated to research in operations, digital visualization, simulation modeling, and algorithm design for transportation infrastructure, which has resulted in a number of highly cited academic papers. He also has 7 national patents to his name.
Affiliations and expertise
Assistant Professor, School of Civil Engineering, Central South University, Changsha, Hunan, ChinaCA
Chenbo Ai
Chengbo Ai is an Assistant Professor at the Department of Civil and Environmental Engineering at the University of Massachusetts at Amherst. He received his PhD from Georgia Tech in Transportation Systems Engineering and his BS from Peking University in Electrical and Computing Engineering. His interdisciplinary research focuses on developing computational models, AI algorithms, and remote sensing hardware systems as they are applied in transportation asset management, geometry design, roadway safety, pavement preservation and maintenance, and many other critical transportation applications.
Affiliations and expertise
Assistant Professor, Dept. of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, MA, USA