To prevent crowd incidents, it is important to share information among stakeholders from the planning stage of crowd management. However, numerous stakeholders are typically involved in crowd management for events, and it is difficult for each stakeholder to understand and agree on their goals, roles, responsibilities, and plans. Additionally, given the vast number of scenarios, it is also difficult to consolidate plans in an efficient and effective manner. Therefore, we devised the simulation-based agile approach (SBAA) methodology, which is characterized by “collaboration with stakeholders,” “responding to plan changes,” and “identifying quality requirements for operations through iterative proposals and agreements.” The first two characteristics are consistent with the Agile Manifesto, which has proven successful as a software development methodology. We participated in the creating of a crowd control plan for a local fireworks display and put SBAA into practice. The SBAA methodology and the effectiveness of SBAA in practice are discussed herein.

1. [1] C. Feliciani, K. Shimura, and K. Nishinari, “Introduction to Crowd Management: Managing Crowds in the Digital Era: Theory and Practice,” Springer, 2021. https://doi.org/10.1007/978-3-030-90012-0
2. [2] R. Challenger, C. W. Clegg, and M. A. Robinson, “Understanding crowd behaviours: Guidance and lessons identified,” UK Government Cabinet Office, Emergency Planning College, 2009.
3. [3] All Japan Security Service Association, “A guide to crowd security operations [advanced level],” 2006 (in Japanese).
4. [4] D. Helbing, A. Johansson, and H. Z. Al-Abideen, “Dynamics of crowd disasters: An empirical study,” Phys. Rev. E, Vol.75, No.4, Article No.046109, 2007. https://doi.org/10.1103/PhysRevE.75.046109
5. [5] J. J. Fruin, “Pedestrian Planning and Design,” Metropolitan Association of Urban Designers and Environmental Planners, 1971.
6. [6] M. Okada, “Safety Technology for Crowd,” Kajima Institute Publishing Co., Ltd., 2011 (in Japanese).
7. [7] N. M. N. Arif et al., “A review on key considerations of mass gathering management: Lesson identified lesson learnt,” IOSR J. Dent. Med. Sci., Vol.17, No.2, pp. 63-68, 2018. https://doi.org/10.9790/0853-1702066368
8. [8] L. B. Zomer, “Managing crowds: Pedestrian activity choice behavior at mass events: A case study on the effectiveness of information measures during the Vierdaagsefeesten Nijmegen 2013,” Master’s Thesis, Delft University of Technology, 2014.
9. [9] B. Leutscher, “Methodology for crowd management measures,” Master’s Thesis, Delft University of Technology, 2018.
10. [10] F. Baelde, “Planning for operational crowd management,” Master’s Thesis, Delft University of Technology, 2016.
11. [11] N. Wijermans, C. Conrado, M. van Steen, C. Martella, and J. Li, “A landscape of crowd-management support: An integrative approach,” Saf. Sci., Vol.86, pp. 142-164, 2016. https://doi.org/10.1016/j.ssci.2016.02.027
12. [12] R. Challenger, C. W. Clegg, and M. A. Robinson, “Understanding crowd behaviours: Supporting evidence,” UK Government Cabinet Office, Emergency Planning College, 2009.
13. [13] Akashi Citizens’ Summer Festival Fireworks Display Accident Investigation Committee, “Fireworks display accident investigation report at the 32nd Akashi Citizens Summer Festival,” 2002 (in Japanese).
14. [14] L. Soomaroo and V. Murray, “Disasters at mass gatherings: Lessons from history,” PLoS Curr., Vol.4, Article No.RRN1301, 2012. https://doi.org/10.1371%2Fcurrents.RRN1301
15. [15] M. M. de Almeida and J. von Schreeb, “Human stampedes: An updated review of current literature,” Prehosp. Disaster Med., Vol.34, No.1, pp. 82-88, 2019. https://doi.org/10.1017/S1049023X18001073
16. [16] M. Haghani et al., “A roadmap for the future of crowd safety research and practice: Introducing the Swiss Cheese Model of Crowd Safety and the imperative of a Vision Zero target,” Saf. Sci., Vol.168, Article No.106292, 2023. https://doi.org/10.1016/j.ssci.2023.106292
17. [17] A. Owaidah, D. Olaru, M. Bennamoun, F. Sohel, and N. Khan, “Review of modelling and simulating crowds at mass gathering events: Hajj as a case study,” J. Artif. Soc. Soc. Simul., Vol.22, No.2, Article No.9, 2019. https://doi.org/10.18564/jasss.3997
18. [18] A. Simonov, A. Lebin, B. Shcherbak, A. Zagarskikh, and A. Karsakov, “Multi-agent crowd simulation on large areas with utility-based behavior models: Sochi Olympic Park Station use case,” Procedia Comput. Sci., Vol.136, pp. 453-462, 2018. https://doi.org/10.1016/j.procs.2018.08.266
19. [19] R. Challenger, C. W. Clegg, and M. A. Robinson, “Understanding crowd behaviours: Simulation Tools,” UK Government Cabinet Office, Emergency Planning College, 2009.
20. [20] T. Yamashita, H. Matsushima, and I. Noda, “Exhaustive analysis with a pedestrian simulation environment for assistant of evacuation planning,” Transp. Res. Procedia, Vol.2, pp. 264-272, 2014. https://doi.org/10.1016/j.trpro.2014.09.047
21. [21] Iventis. https://www.iventis.co.uk/blog/crowd-analysis-and-visualisation-in-iventis/ [Accessed August 20, 2023]
22. [22] N. A. M. Daud and N. A. Rahman, “A state-of-the-art review of multi-agent modelling of crowd dynamic,” IOP Conf. Ser.: Earth Environ. Sci., Vol.476, Article No.012069, 2020. https://doi.org/10.1088/1755-1315/476/1/012069
23. [23] N. Gilbert and K. G. Troitzsch, “Simulation for the Social Scientist,” McGraw-Hill Education, 2005.
24. [24] R. Axelrod, “Advancing the art of simulation in the social sciences,” R. Conte, R. Hegselmann, and P. Terna (Eds.), “Simulating Social Phenomena,” pp. 21-40, Springer, 1997. https://doi.org/10.1007/978-3-662-03366-1_2
25. [25] Manifesto for Agile Software Development. https://agilemanifesto.org/ [Accessed August 25, 2023]