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Warianty tytułu
Języki publikacji
Abstrakty
Mass events organized in Poland in recent years, including sports, entertainment, as well as cultural and social (religious) gatherings, have been consistently gaining popularity, as reflected in the large number of participants. This is undoubtedly due to the attractiveness of the events on one hand and the positive assessment of the safety level during these events on the other. Yet it is crucial to recognize that beyond their positive aspects, mass events frequently present specific challenges and threats. Unpredictable and irrational behaviour among participants can result from a variety of factors, posing risks to their health and lives as well as that of bystanders and property. Effective managing of these situations is a genuine challenge for governmental authorities, services and responsible entities. This challenge stems from comprehensive preparatory and organizational measures designed to prevent crisis situations and, if they occur, promptly regain control. This study aims to present a model of organizational-procedural solutions and explore the application of modern information technologies to enhance participant safety during mass events. The research methodology involved a comprehensive analysis of scientific, industry, and legal materials. Additionally, valuable insights were drawn from the author’s first-hand experience gained through direct observations while fulfilling official duties in ensuring the safety of mass events during real incidents in Poland.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
27--38
Opis fizyczny
Bibliogr. 23 poz., tab.
Twórcy
autor
- WSB University
Bibliografia
- 1. Capponi, A., Fiandrino, C., Kantarci, B., Foschini, L., Kliazovich, D., Bouvry, P., (2019). A survey on mobile crowdsensing systems: Challenges solutions and opportunities. IEEE Communications Surveys & Tutorials, 2(3), pp. 2419–2465.
- 2. Challenger, R., Clegg, C., Robinson, M., (2009). Understanding Crowd Behaviours. York, pp. 1–326.
- 3. Chaudhari, M.D., Ghotkar, A.S., (2018). A study on crowd detection and density analysis for safety control, International Journal of Computational Science and Engineering, vol. (4), pp. 424–428.
- 4. Cui, J., Zha, H., Zhao H., Shibasaki, R., (2007). Laser-based detection and tracking of multiple people in crowds. Computer Vision and Image Understanding, vol. 106(2), pp. 300–312.
- 5. Dorreboom, M., Barry, K., (2022). Concrete, bollards, and fencing: exploring the im/ mobilities of security at public events in Brisbane. Annals of Leisure Research, 25(1), pp. 48–70.
- 6. Griffin, R.W., (2001). Podstawy zarządzania organizacjami. Warsaw: Wydawnictwo Naukowe PWN.
- 7. Gromek, P., (2017). Teoria organizacji bezpieczeństwa na przykładzie masowej ewakuacji ludności. Warsaw: Difin.
- 8. Jurgilewicz, M., ed., (2021). Bezpieczeństwo zgromadzeń i imprez masowych w Polsce. Teoria i praktyka. Warsaw: Oficyna wydawnicza ASPRA.
- 9. Kanaujiya, A.K., Tiwari, V., (2022). Crowd Management and Strategies for Security and Surveillance During the Large Mass Gathering Events: The Prayagraj Kumbh Mela 2019 Experience. National Academy Science Letters, 45, 263–273.
- 10. Kosiński, S., (1987). Socjologia ogólna. Zagadnienia podstawowe. Warsaw: Wydawnictwo Naukowe PWN.
- 11. Lamba, S., Nain, N., (2016). A literature review on crowd scene analysis and monitoring. The International Journal of Urban Design for Ubiquitous Computing, 4(2), 9–20.
- 12. Martella, C., Li, J., Conrado, C., Vermeeren, A., (2017). On current crowd management practices and the need for increased situation awareness prediction and intervention. Safety Science, 91, 381–393.
- 13. Reiman, T., Rollenhagen, C., (2011). Human and organizational biases affecting the management of safety. Reliability Engineering & System Safety, 96(10), 1263–1274.
- 14. Saleh, S.A.M., Suandi, S.A., Ibrahim, H., (2015). Recent survey on crowd density estimation and counting for visual surveillance. Engineering Applications of Artificial Intelligence, 41, 103–114.
- 15. Sołoma, L., (1991). Socjologia. Olsztyn: Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego.
- 16. Struniawski, J. et al., (2016). Video Signals Integrator (VSI) System architecture. Proceedings of SPIE, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments, vol. 100312K.
- 17. Struniawski, J., (2017). Sztaby w Policji. Organizacja i funkcjonowanie. Szczytno: WSPol.
- 18. Struniawski, J., (2018). Bezpieczeństwo zorganizowanych zbiorowości społecznych. Szczytno: WSPol.
- 19. Vinodkumar, M.N., Bhasi, M., (2011). A study on the impact of management system certification on safety management. Safety Science, 49(3), 498–507.
- 20. Wijermans, N., Conrado C., van Steen, M., Martella, C., Li, J., (2016). A landscape of crowd-management support: an integrative approach. Safety Science, 86, 142–164.
- 21. Wren, K., (2005). Wpływ społeczny. Gdańsk: Gdańskie Wydawnictwo Psychologiczne.
- 22. Yamin, M., (2019). Managing crowds with technology: cases of Hajj and Kumbh Mela. International Journal of Information Technology, 11, 229–237.
- 23. Yaseen, S., Al-Habaibeh, A., Su, D., Otham, F., (2013). Real-time crowd density mapping using a novel sensory fusion model of infrared and visual systems. Safety Science, 57, 313–325.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-98059fcf-be1a-4825-bf64-f79dfadb25c8
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