AI, Blockchain and Social Network on Urban Crisis Management: Leveraging Emerging Technologies for Disaster Response and Resilience in Smart Cities

Erscheinungsjahr 2026
ISBN: 978-0-443-31368-4
Verlag: Elsevier Science & Technology

Buch, Englisch, Format (B × H): 152 mm x 229 mm

AI, Blockchain and Social Network on Urban Crisis Management, Volume 142 in the Advances in Computers series, examines how cutting-edge digital technologies are reshaping disaster preparedness and response. This volume highlights the convergence of artificial intelligence, blockchain, and social network analysis to predict, prevent, and manage urban crises. Chapters explore diverse applications, from AI-driven deforestation monitoring in the Colombian Amazon and diffusion modeling for enhanced oil recovery, to blockchain-based citizen voting systems, metaverse-enabled disaster management, and graph-theoretic approaches for resource mobilization. Ethical AI for law enforcement training, social media’s role in disaster resilience, and innovative methods such as YOLO-based pothole detection further showcase how these technologies support sustainable cities and green energy initiatives. Collectively, the volume provides a multidisciplinary perspective on building smarter, safer, and more resilient urban environments.

Autoren/Hrsg.

Weitere Mitwirkende

Dutta, Pushan Kumar

Krishnan, Saravanan

Bhattacharya, Pronaya

Amesho, Kassian T.T.

Rocha, Álvaro

Haghi, A. K.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik Mathematik Mathematik Allgemein

Inhaltsverzeichnis

1. Nutrient Recovery from Livestock Effluent in a Circular Economy Approach
2. Leveraging Artificial Intelligence for Deforestation Monitoring and Conservation in the Colombian Amazon
3. Experimental and Theoretical Investigation of Diffusion in Hydrocarbon-Based Dense Fluids for Enhanced Oil Recovery
4. Navigating the Complexities: Challenges, Weaknesses, and Hurdles in Integrating AI, Blockchain, and Social Networks for Urban Crisis Management
5. Educating Europe's Guardians: Ethical AI and Emerging Technologies in Law Enforcement Training for Urban Crisis Management
6. The Intersection of AI, Blockchain, and Social Networks in Urban Crises Management
7. Application of Graph Theory in Disaster Management for Efficient Handling and Mobilizing of Resources and Logistics
8. Analyzing the Role of Social Networks in Urban Crisis Management through Citizen Participation and Smart Technological Deployment
9. Unveiling Customer Insights Using Social Network Analysis in Modern Marketing Strategy: The Influence of Urban Economic Uncertainty
10. Future of AI, Blockchain, and Social Networks in Urban Crisis Management
11. Technology for Urban Crisis Management Towards Green Energy Harvesting and Sustainable Environments
12. Synergistic Innovations: Transforming Urban Crisis Management Through AI, Blockchain, and Social Networks
13. Leveraging Fuzzy Artificial Intelligence as a Technique to Find Relative Desirability in Social Networks
14. Disaster Management in Tourist Destinations: Role of Social Media for Disaster Response and Resilience
15. Disaster Management on the Metaverse: Cases, Ethical Implications, Creative Potential, and Regulatory Perspectives
16. Pothole Detection in Disaster-Affected Areas: A YOLO-Based Approach
17. Combining Artificial Neural Networks and Association Rule Mining for Sequential Pattern Discovery
18. Listening to the Citizens: A Blockchain Voting Model as a Tool of Urban Planning
19. Empowering Law Enforcement Education: Ethical AI and Technology Integration for Urban Crisis Management in Europe
20. Project-Based Learning in Urban Crisis Management
21. Convergence of AI, Blockchain, and Social Networks in Urban Crisis Management
22. AI-Enhanced Data Processing for Modeling Applications
23. Building Smarter Cities with Blockchain
24. Tracking Transparency: Blockchain in the Global Supply Chain - A Case Study of IBM Food Trust
25. Artificial Intelligence in Urban Health Epidemic Management

Über Autor(innen)

Krishnan, Saravanan
Saravanan Krishnan is working as a Senior Assistant Professor, Department of Computer Science and Engineering at Anna University, Regional Campus, Tirunelveli, Tamilnadu. He has done ME in Software Engineering and PhD in Computer Science Engineering. His research interests include cloud computing, software engineering, Internet of Things, and smart cities. He has published research papers in 14 international conferences and 27 international journals. He has also written 9 book chapters and 5 books with international publishers. He has done consultancy work for Municipal Corporation and Smart City schemes.

Haghi, A. K.
A. K. Haghi, has written, co-written, edited or co-edited more than 1000 publications, including books, book chapters, and papers in refereed journals with over 3700 citation. He is currently a senior material engineering consultant in the UK. He has received several grants, consulted for several major corporations, and is a frequent speaker to national and international audiences. He has served as a member of the Canadian Research and Development Center of Sciences & Cultures and the Research Chemistry Centre, Coimbra, Portugal and supervised several PhD and MSc theses at the University of Guilan (UG) and co-supervised international doctoral projects. He holds a BSc in urban and environmental engineering from the University of North Carolina and holds two MSc, one in mechanical engineering from North Carolina State University and another one in applied mechanics, acoustics, and materials from the Université de Technologie de Compiègne.

Dutta, Pushan Kumar
Dr. Pushan Kumar Dutta is an Assistant Professor Grade III at Amity University Kolkata, specializing in Electronics and Communication Engineering. He holds a Ph.D. in Electronics and Telecommunication Engineering from Jadavpur University and completed a Postdoctoral fellowship as an Erasmus Mundus Scholar at the University of Oradea. His research interests include data mining, AI, edge computing, and predictive analytics, focusing on applications in smart cities, healthcare, and sustainable development. Dr. Dutta has published over 114 articles in Scopus-indexed journals and has edited more than 30 books for prestigious publishers in 2023-2024. He is recognized as a reviewer for leading academic publishers and has received accolades such as the 'Mentor of Change' from NITI Aayog. Committed to innovative teaching, he authored "Innovative Digital Teaching and Learning for Professional Readiness" and holds two Indian patents. Dr. Dutta is a Threws Fellow member and a senior member of the Indian Institute of Engineering.

Bhattacharya, Pronaya
Pronaya Bhattacharya received the Ph.D. degree in optical networks from Dr. A. P. J. Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India, in 2021. He is currently employed as an Assistant Professor with the Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, India. He has over eight years of teaching experience. He has authored or coauthored more than 120 research papers in leading SCI journals and top core IEEE COMSOC A* conferences. Some of his findings are published in reputed SCI journals, like IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, IEEE Transactions on Network Science and Engineering, IEEE Access, ETT (Wiley), Expert Systems (Wiley), FGCS (Elsevier), OQEL (Springer), WPC (Springer), ACM-MOBICOM, IEEE-INFOCOM, IEEE-ICC, IEEECITS, IEEE-ICIEM, IEEE-CCCI, and IEEE-ECAI. His research interests include healthcare analytics, optical switching and networking, federated learning, blockchain, and the IoT.