Systematic Review of the Problematic Factors in the Evacuation of Cruise/Large Passenger Vessels and Existing Solutions
Source abstract
Abstract
Background: In recent decades, the size and passenger capacity of cruise/passenger ships has been associated with noticeable growth; in turn, this has created significant concerns regarding the adequacy of existing evacuation protocols during an “abandon the ship” situation (life threatening emergency). This study provides a systematic overview of related weaknesses and challenges, identifying critical factors that influence evacuation efficiency, and also proposes innovative/interdisciplinary solutions to address those challenges. It further emphasizes the growing complexity of cruise/passenger ship evacuations due to increased vessel size/heavy density of human population, as well as identifying the necessity of addressing both technical and human-centered elements to enhance safety and efficiency of those specific operations. Methods: Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, a comprehensive systematic literature search was conducted across academic databases, including Scopus, Science Direct, Google Scholar, and a limited number of academic journals that are heavily maritime-focused in their mission. Emphasis was placed on peer-reviewed articles and certain gray studies exploring the impacts of ship design, human behavior, group dynamics, and environmental conditions on evacuation outcomes. This review prioritized research incorporating advanced simulation models, crowd management solutions (applied in various disciplines, such as stadiums, airports, malls, and ships), real-world case studies, and established practices aligned with contemporary maritime safety standards. Results: The key findings identify several critical factors influencing the overall evacuation efficiency, including ship heeling angles, staircase configurations, and passenger (physical) characteristics (with their mobility capabilities and related demographics clearly standing out, among others). This effort underscores the pivotal role of group dynamics, including the influence of group size, familiarity among the group, and leader-following behaviors, in shaping evacuation outcomes. Advanced technological solutions, such as dynamic wayfinding systems, real-time monitoring, and behavior-based simulation models, emerged as essential tools for optimizing an evacuation process. Innovative strategies to mitigate identified challenges, such as phased evacuations, optimized muster station placements, and tailor made/strategic passenger cabin allocations to reduce congestion during an evacuation and enhance the overall evacuation flow, are also highlighted. Conclusions: Protecting people facing a life-threatening situation requires timely preparations. The need for a holistic evacuation strategy that effectively integrates specific ship design considerations and human factors management, along with inputs related to advanced information technology-related solutions, is the best way forward. At the same time, the importance of real-time adaptive management systems and interdisciplinary approaches to address the challenges of modern cruise/passenger ship evacuations clearly stands out. These findings provide a robust foundation for future research and practical applications, contributing to advancements in maritime safety and the development of efficient evacuation protocols for large-in-size cruise/passenger vessels.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Evacuation and Crowd Dynamics · Oil Spill Detection and Mitigation · Maritime Navigation and Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
World Maritime University (Maritime Safety and Environmental Administration), SE 201 24 Malmö, Sweden
References (47)
Show source-provided references
1. Klüpfel, H., Meyer-König, T., Wahle, J., and Schreckenberg, M. (2001). Microscopic Simulation of Evacuation Processes on Passenger Ships, Springer EBooks.10.1007/978-1-4471-0709-5_8 ↗
2. Market Watch, C.M. (2024, December 02). Growth of the Ocean Cruise Line Industry. Available online: https://cruisemarketwatch.com/growth/.
3. Pospolicki, M. (2024, December 12). A Study on How to Improve the Mass Evacuation at Sea with the Use of Survival Crafts. LUTVDG/TVBB. Available online: https://lup.lub.lu.se/luur/download?func=downloadFile&recordOId=8906061&fileOId=8906062.
4. Importance of the on-board crew trainings and drills for the improvement of the vessels’ safety
5. Analysis of performance influence factors on shipboard drills to improve ship emergency preparedness at sea10.1504/IJSTL.2020.105865 ↗
6. Eliopoulou, E., Alissafaki, A., and Papanikolaou, A. (2023). Statistical analysis of accidents and review of safety level of passenger ships. J. Mar. Sci. Eng., 11.10.3390/jmse11020410 ↗
7. Hu, M., Cai, W., and Bode, H. (2019). Simulation of Passenger Evacuation Process in Cruise Ships Based on A Multi-Grid Model. Symmetry, 11.10.3390/sym11091166 ↗
8. IMO (2024, December 12). International Convention for the Safety of Life at Sea. Available online: https://www.imo.org/en/KnowledgeCentre/ConferencesMeetings/Pages/SOLAS-CONF-1974-default.aspx/.
9. International Maritime Organization (2024, December 12). Guidelines for Evacuation Analyses for New and Existing Passenger Ships (MSC/Circ.1238), Available online: https://www.imorules.com/MSCCIRC_1238.html.
10. International Maritime Organization (2024, December 12). Revised Guidelines on Evacuation Analysis for New and Existing Passenger Ships (MSC.1/Circ.1533), Available online: https://www.imorules.com/MSCCIRC_1533.html.
11. Jørgensen, H.D., and May, M. (2002, January 2–3). Human factors management of passenger ship evacuation. Proceedings of the RINA Conference, London, UK.
12. Determinants, methods, and solutions of evacuation models for passenger ships: A systematic literature review10.1016/j.oceaneng.2022.112371 ↗
13. International Maritime Organization (2024, November 23). Historic Background, Available online: https://www.imo.org/en/OurWork/MSAS/Pages/Historic-background.aspx.
14. The use of confidence intervals to determine convergence of the total evacuation time for stochastic evacuation models10.1016/j.oceaneng.2017.09.047 ↗
15. A study of evaluating an evacuation time10.1177/1687814018772424 ↗
16. Experimental study on pedestrian behavior in a mixed crowd of individuals and groups10.1016/j.physa.2020.124814 ↗
17. Dynamic analysis of emergency evacuation in a rolling passenger ship using a two-layer social force model10.1016/j.eswa.2024.123310 ↗
18. Wang, L., Zhou, P., Gu, J., and Li, Y. (2024). Numerical Simulation of Passenger Evacuation Process for a Cruise Ship Considering Inclination and Rolling. J. Mar. Sci. Eng., 12.10.3390/jmse12020336 ↗
19. Numerical analysis and staircase layout optimisation for a Ro-Ro passenger ship during emergency evacuation10.1016/j.ress.2021.108056 ↗
20. Building safety and human behaviour in fire: A literature review10.1016/j.firesaf.2009.08.005 ↗
21. Effect of different staircase and exit layouts on occupant evacuation10.1016/j.ssci.2019.05.030 ↗
22. Analysis of naval ship evacuation using stochastic simulation models and experimental data sets
23. Influence factors on the passenger evacuation capacity of cruise ships: Modeling and simulation of full-scale evacuation incorporating information dissemination10.1016/j.psep.2021.11.010 ↗
24. Hu, M., and Cai, W. (2022). Research on the Evacuation Characteristics of Cruise Ship Passengers in Multi-Scenarios. Appl. Sci., 12.10.3390/app12094213 ↗
25. Social force model for pedestrian dynamics10.1103/PhysRevE.51.4282 ↗
26. A study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model10.1016/j.trc.2016.08.018 ↗
27. Bode, N.W.F., Holl, S., Mehner, W., and Seyfried, A. (2015). Disentangling the Impact of Social Groups on Response Times and Movement Dynamics in Evacuations. PLoS ONE, 10.10.1371/journal.pone.0121227 ↗
28. Social groups barely change the speed-density relationship in unidirectional pedestrian flow, but affect operational behaviours10.1016/j.ssci.2021.105259 ↗
29. Experimental study on small group behavior and crowd dynamics in a tall office building evacuation10.1016/j.physa.2017.01.032 ↗
30. von Krüchten, C., and Schadschneider, A. (2019). Group Parameters for Social Groups in Evacuation Scenarios, Springer EBooks.10.1007/978-3-030-11440-4_29 ↗
31. Study of influence of groups on evacuation dynamics using a cellular automaton model10.1016/j.trpro.2014.09.022 ↗
32. Zhang, X., Zhang, H., Wang, S., Xiao, Z., and Zhang, W. (2023). Analysis of the Impact of Small Group Behavior on Cruise Ship Emergency Evacuation. Appl. Sci., 13.10.3390/app13179976 ↗
33. Modeling pedestrian group behavior in crowd evacuations10.1002/fam.2978 ↗
34. Dynamics of social groups’ decision-making in evacuations10.1016/j.trc.2019.04.029 ↗
35. Analysis of Impact of Group Walking Patterns on Pedestrian Evacuation10.3141/2604-09 ↗
36. Brown, R.C. (2024, December 12). Quantifying Human Performance During Passenger Ship Evacuation. Available online: http://gala.gre.ac.uk/id/eprint/23606/1/Robert%20Clarke%20Brown%202016%20-%20redacted.pdf.
37. Passengers’ likely behaviour based on demographic difference during an emergency evacuation in a Ro-Ro passenger ship10.1016/j.ssci.2020.104803 ↗
38. The impact of low efficient evacuation plan during costa concordia accident
39. Evacuation performance of individuals and social groups under different visibility conditions: Experiments and surveys10.1016/j.ijdrr.2020.101527 ↗
40. Höckling, S., Kunz, A., and Motz, F. (2016). Passenger Safety During Rescue and Evacuation from Passenger Vessels: A Holistic Concept for the Integration of Technical Assistance. Advances in Intelligent Systems and Computing, Springer.10.1007/978-3-319-41682-3_37 ↗
41. Intelligent optimization method for the evacuation routes of dense crowds on cruise ships10.1016/j.simpat.2022.102496 ↗
42. Modeling and solving Passenger ship evacuation arrangement problem10.1016/j.ress.2024.110075 ↗
43. Ventikos, N.P., Sotiralis, P., Annetis, M., Podimatas, V.C., Boulougouris, E., Stefanidis, F., Chatzinikolaou, S., and Maccari, A. (2023). The Development and Demonstration of an Enhanced Risk Model for the Evacuation Process of Large Passenger Vessels. J. Mar. Sci. Eng., 11.10.3390/jmse11010084 ↗
44. Validation of advanced evacuation analysis on passenger ships using experimental scenario and data of full-scale evacuation10.1016/j.compind.2015.03.009 ↗
45. Cell-based evacuation simulation considering human behavior in a passenger ship10.1016/j.oceaneng.2012.05.019 ↗
46. Modeling evacuation demand during no-notice emergency events: Tour formation behavior10.1016/j.trc.2020.102713 ↗
47. Velocity-based egress model for the analysis of evacuation process on passenger ships