GIS-BASED INCIDENT CARTOGRAPHIC VISUALIZATION AND PRIORITIZATION SYSTEM FOR EVENTS MONITORING AND DISPATCHING
DOI:
https://doi.org/10.56132/2791-3368-2026-1-65-166-181Keywords:
geographic information systems (GIS), incident, cartographic visualization, prioritization, monitoring, spatial data, dispatching, information systemAbstract
The paper presents a Geoinformation system for mapping and prioritizing events aimed at monitoring and managing events. The solution architecture is implemented on a modular principle and consists of a data processing and storage server, a client terminal, incoming data collection and verification blocks, visualization functionality on the map, algorithms for ranking events by degree of significance, a user accounting system, generating reference documentation and storing spatial and descriptive information. The system works on the principle of sequential processing: obtaining data, checking them, storing, displaying and automatically prioritizing them based on preset parameters. Standard scenarios for responding to events at different levels were analyzed, it was shown to ensure a continuous life cycle of the event — from approval to status changes and placement in the archive. Experimental results show that combining visualization on the map with automatic classification of events contributes to accelerating the reaction, increasing the accuracy of the displayed information and increasing the productivity of control services. The developed platform can become the basis for the creation of advanced intelligent monitoring systems and support for decisions, including monitoring high-security objects, accompanying launch ehicles and monitoring areas of possible falls of detachable parts.
Downloads
References
1. A. Zerger, D. I. Smith. (2003). Impediments to using GIS for real-time disaster decision support. Computers, Environment and Urban Systems, vol. 27, no. 2, pp. 123–141.
2. G. Cai, A. M. MacEachren. (2005). Supporting effective human interactions with geographic information during crisis response. Geomatica, vol. 59, no. 4, pp. 415–425.
3. V. Tanasescu, A. Gugliotta, J. Domingue, R. Davies, L. Gutiérrez-Villarías, M. Rowlatt, M. Richardson, S. Stinčić. (2006). A Semantic Web Services GIS Based Emergency Management Application. The Semantic Web – ISWC 2006, Lecture Notes in Computer Science, pp. 959–966.
4. Y. Y. Li, X. Q. Shang, and R. F. Liu. (2012). GIS-Based Emergency Management System for Chemical Industry Park. Advanced Materials Research, vols. 550–553, pp. 2941–2944.
5. N. Bellantuono, P. Camarda, P. Caneva, S. Lisi, P. Pontrandolfo, V. Romano, D. Striccoli, and B. Scozzi. (2016). Emergency management at sea: A decision support system for Search and Rescue operations. Journal of Software & Systems Development, vol. 2016, Art. ID 732463.
6. M. Avvenuti, M. G. C. A. Cimino, S. Cresci, A. Marchetti, M. Tesconi. (2016). A framework for detecting unfolding emergencies using humans as sensors. SpringerPlus, vol. 5, Art. no. 43.
7. O. Rodríguez-Espíndola, P. Albores, and C. Brewster. (2016). “GIS and Optimisation: Potential Benefits for Emergency Facility Location in Humanitarian Logistics. Geosciences, vol. 6, no. 2, Art. no. 18.
8. R. Der Sarkissian, J.-M. Zaninetti, and C. Abdallah. (2019). The use of geospatial information as support for Disaster Risk Reduction; contextualization to Baalbek-Hermel Governorate/Lebanon. Applied Geography, vol. 111, Art. no. 102075.
9. R. Raškauskaitė, V. Grigonis, (2019). An Approach for the Analysis of the Accessibility of Fire Hydrants in Urban Territories. ISPRS International Journal of Geo-Information, vol. 8, no. 12, Art. no. 587.
10. S. Grimaz, P. Malisan, A. Pividori. (2022). Sharing the post-earthquake situation for emergency response management in transborder areas: The e-Atlas tool. Journal of Safety Science and Resilience, vol. 3, no. 1.
11. W. Nasar, R. Da Silva Torres, O. E. Gundersen, A. T. Karlsen. (2023). The Use of Decision Support in Search and Rescue: A Systematic Literature Review,” ISPRS International Journal of Geo-Information, vol. 12, no. 5, Art. no. 182.
12. S. Z. Golazad, G. Heravi, A. AminShokravi, A. Mohammadi, (2024). Integrating GIS, agent-based, and discrete event simulation to evaluate patient distribution policies for enhancing urban healthcare access network resilience. Sustainable Cities and Society, vol. 111, Art. no. 105559.
13. M. Daud, F. M. Ugliotti, A. Osello. (2024). Comprehensive Analysis of the Use of Web-GIS for Natural Hazard Management: A Systematic Review. Sustainability, vol. 16, no. 10, Art. no. 4238.
14. V. E. Figueroa, A. T. Murray, T. Funk. (2024). Supporting Fire Response: Advanced Spatial Data Analytics for Hydrant Access Assessment,” Transactions in GIS, vol. 28, no. 8, pp. 2559–2573.
15. H. Zhao, C. Niu, X. Dou, J. Liang. (2024). Urban multipoint fire disaster emergency simulation based on web information,” International Journal of Disaster Risk Reduction, vol. 101, Art. no. 104223.
