An AI-Enabled Tourist Safety and Incident Response Framework Using Geo-Fencing and Blockchain-based Digital Identity
Keywords:
Blockchain-based digital ID, Network infrastructure, Risk-as-a-service (RaaS), Smart safety system, Smart tourist safety monitoring and incident response (STSM-IR)Abstract
Tourist safety has become a critical challenge due to the rapid growth of global travel and the increasing complexity of emergency response management. Traditional monitoring systems rely heavily on centralised infrastructures and reactive mechanisms, resulting in delayed incident detection and inefficient coordination. This paper proposes an AI-enabled Tourist Safety and Incident Response Framework that integrates geo-fencing, real-time data analytics, and blockchain-based digital identity management. The proposed system utilises IoT-enabled location tracking and cloud-based processing to monitor tourist movement patterns continuously. A machine learning-driven risk assessment module dynamically evaluates geospatial deviations and behavioural anomalies to generate real-time risk scores and automated alerts. Geo-fencing mechanisms define secure and restricted zones, enabling proactive detection of incidents. Additionally, a decentralised blockchain layer ensures secure identity verification, data integrity, and tamper-resistant record management. The layered architecture enhances system scalability, transparency, and operational efficiency while reducing response latency. Comparative analysis indicates that the proposed framework improves emergency coordination, resource allocation, and overall reliability compared to conventional centralised safety models. The framework contributes to the development of intelligent, secure, and responsive smart tourism infrastructures.
References
D. Prakash, “Why do smart city projects fail to create impact? Understanding decision-making in smart city policy implementation,” Urban Governance, vol. 5, no. 1, pp. 45–53, Mar. 2025.
R. Damaševičius, N. Bacanin, and S. Misra, “From sensors to safety: Internet of emergency services (IoES) for emergency response and disaster management,” Journal of Sensor and Actuator Networks, vol. 12, no. 3, May 2023.
S. S. Saye Lakshmi, K. A. Emmanuel, R. Kathiravan and S. Nagaraj, “Digital Identity Verification Using Blockchain,” International Journal of Research and Analytical Reviews (IJRAR), vol. 8, no. 4, pp. 295–302, Dec 2021.
T. Swathi and B. Malleswari, “Location based tracking system for emergency services,” International Journal of Computer Applications Technology and Research, vol. 3, no. 12, pp. 836–838, 2014.
D. Dharrshan S. et al., “Smart tourist safety,” International Journal of Scientific Research & Engineering Trends, vol. 12, no. 1, Jan.–Feb. 2026.
J. Rong, H. Hao, and W. Xu, “Big data intelligent tourism management platform design based on abnormal behavior identification,” Intelligent Systems with Applications, vol. 21, Mar. 2024.
V. Sonawane1, S. Naikwadi, S. Lodhe, S. Najan, and K. Wagh, “E-Fir and complaints system using blockchain,” International Journal of Creative Research Thoughts (IJCRT), vol. 13, no. 1, Mar. 18, 2026.
M. Pola, V. Sharanya, L. Prithviraj, R. Abhilash, S. P, V. B., “A conceptual framework for proactive tourist safety using AI-based risk scoring and blockchain digital identity,” International Journal of Engineering Research & Technology, vol. 15, no. 1, Jan. 2026.
H. Taherdoost, “Wearable healthcare and continuous vital sign monitoring with IoT integration,” Computers, Materials & Continua, vol. 81, no. 1, pp. 79–104, 2024.
D. MacLean and R. Titah, “Implementation and impacts of IT service management in the IT function,” International Journal of Information Management, vol. 70, Jun. 2023.
S. M. Brondoni, “Global tourism and terrorism. safety and security management,” Symphonya. Emerging Issues in Management, no. 2, pp. 7–16, May 2016.
L. Pande and S. Sengupta, “Data analytics in smart tourism design: A review paper,” International Conference on Recent Advances in Waste Minimization & Utilization-2024, E3S Web of Conferences, vol. 556, Aug. 2024.
J. Liu, Q. Chu, and R. Feng, “Review article: Emergency response automation (ERA) as a safety-critical system: A systematic review of reliability, architecture, and evolution (2010–2025),” EGUsphere, Jan. 2026.
S. S. Rvn, “Leveraging APIs for seamless machine learning model integration,” Infosys, 2023.
S. Biswas, Z. Yao, L. Yan, A. Alqhatani, A. K. Bairagi, F. Asiri, and M. Masud, “Interoperability benefits and challenges in smart city services: Blockchain as a solution,” Electronics, vol. 12, no. 4, Feb. 2023.
C. M. Patel, “Edge computing for low-latency loT applications in smart cities,” Smart Internet of Things, vol. 1, no. 4, pp. 282–288, 2024.
H. Song, L. Wang, S. Xu, S. Zhang, W. Shao, and Q. Wang, “Privacy-preserving data sharing with personalized encrypted retrieval,” Applied Sciences, vol. 16, no. 6, Mar. 2026.
A. A. Varfolomeev and L. H. Al-Farhani, “Blockchain based digital identity management system for smart city services,” 2023 International Conference on Information Technology, Applied Mathematics and Statistics (ICITAMS), Al-Qadisyia, Iraq, 2023, pp. 79–85.
J. dos S. Roque da Silva, G. F. R. Disperati, and A. A. de Souza Tartaglia, “An initial exploration of non-functional requirements specifications applied to smart cities traffic-focused systems development,” International Journal of Computer Science and Engineering, vol. 10, no. 12, pp. 17–24, Dec. 2023.
E. Nagel and J. Kranz, “Smart city applications on the blockchain: Development of a multi-layer taxonomy,” in Blockchain and Distributed Ledger Technology Use Cases, H. Treiblmaier and T. Clohessy, Eds., Springer, 2020, pp. 201–226.
