People and businesses rely on transportation networks every day, but what happens when critical assets fail unexpectedly or pollute our environment? Smart Infrastructure Management provides an interdisciplinary exploration of this intricate and dynamic landscape, enriching the theoretical and practical understanding of state-of-the-art technologies that can productively support various stakeholders in the decision-making process throughout the entire lifecycle of infrastructure projects.
The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies of modern infrastructure management, with a narrative that spans several domains to coordinate a fully integrated approach. Key topics include data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, and decision support systems. The transformative impact of smart cities is also explored, emphasizing their role in enhancing infrastructure capabilities.
With real-world case studies systematically featured to illustrate successful implementations and valuable lessons learned, this investigation appeals not only to researchers and students but also to professionals across diverse fields, ensuring that effective strategies are integrated into industry practices, which are essential for improving infrastructure capabilities in line with society’s ever-changing needs.
1. Chapter 1 Introduction to infrastructure management - p. 1 2. Chapter 2 Fundamentals of computer science for infrastructure management - p. 31 3. Chapter 3 Data collection and preprocessing - p. 67 4. Chapter 4 Infrastructure modeling and simulation - p. 111 5. Chapter 5 Asset management and maintenance - p. 155 6. Chapter 6 Computational techniques - p. 191 7. Chapter 7 Cybersecurity in infrastructure management - p. 235 8. Chapter 8 Decision support systems - p. 261 9. Chapter 9 Smart cities and infrastructure management - p. 287 10. Chapter 10 Future trends and challenges - p. 317 11. Chapter 11 Case studies - p. 333 12. Chapter 12 Conclusion and future directions - p. 371 13. Index - p. 381
People and businesses rely on transportation networks every day, but what happens when critical assets fail unexpectedly or pollute our environment? Smart Infrastructure Management provides an interdisciplinary exploration of this intricate and dynamic landscape, enriching the theoretical and practical understanding of state-of-the-art technologies that can productively support various stakeholders in the decision-making process throughout the entire lifecycle of infrastructure projects.
The volume examines the evolutionary trajectory, inherent challenges, and pivotal methodologies of modern infrastructure management, with a narrative that spans several domains to coordinate a fully integrated approach. Key topics include data collection and sensors, spatial modeling and simulation tools, asset management, preventative or predictive maintenance measures, computational techniques, cybersecurity, and decision support systems. The transformative impact of smart cities is also explored, emphasizing their role in enhancing infrastructure capabilities.
With real-world case studies systematically featured to illustrate successful implementations and valuable lessons learned, this investigation appeals not only to researchers and students but also to professionals across diverse fields, ensuring that effective strategies are integrated into industry practices, which are essential for improving infrastructure capabilities in line with society’s ever-changing needs.
1. Chapter 1 Introduction to infrastructure management - p. 1 2. Chapter 2 Fundamentals of computer science for infrastructure management - p. 31 3. Chapter 3 Data collection and preprocessing - p. 67 4. Chapter 4 Infrastructure modeling and simulation - p. 111 5. Chapter 5 Asset management and maintenance - p. 155 6. Chapter 6 Computational techniques - p. 191 7. Chapter 7 Cybersecurity in infrastructure management - p. 235 8. Chapter 8 Decision support systems - p. 261 9. Chapter 9 Smart cities and infrastructure management - p. 287 10. Chapter 10 Future trends and challenges - p. 317 11. Chapter 11 Case studies - p. 333 12. Chapter 12 Conclusion and future directions - p. 371 13. Index - p. 381
