1. Proceedings
  2. I3M
  3. 2021
  4. IWISH
  5. 10.46354/i3m.2021.iwish.014

Improving Operational Procedures to Access Industrial Facilities and Urban Areas during Pandemics

  • a Agostino G. Bruzzone ,
  • b Marina Massei, 
  • c Javier Pernas-Álvarez, 
  • d Andrea Reverberi, 
  • e Massimo Pedemonte
  • a,b,c,e Simulation Team, via Magliotto, 17100, Savona, Italy
  • d DCCI, University of Genoa, Via Dodecaneso 31, 16146 Genova, Italy
Cite as
Bruzzone A.G., Massei M., Pernas-Álvarez J., Reverberi A., Pedemonte M. (2021). Improving Operational Procedures to Access Industrial Facilities and Urban Areas during Pandemics. Proceedings of the 10th International Workshop on Innovative Simulation for Healthcare (IWISH 2021), pp. 90-94. DOI: https://doi.org/10.46354/i3m.2021.iwish.014

Abstract

Management of population crowds and their access to critical infrastructures is crucial to effectively tackle incidents and avert undesirable situations derived from pandemics. To this end, modelling and simulation combined with serious games emerge as a proper tool to train current and future strategic engineers on this subject. Thus, we propose a simulation-based serious game to devise and improve operational procedures and regulations aimed at preventing access to urban areas and key facilities. The multi-platform application considers three different types of game to explore different situations and evaluate user’s proposal to face complex situations. In addition, we are still working on improving user experience and upgrading game mechanics.

References

  1. Allen, L.J.S., Bolker, B.M., Lou, Y., Nevai, A.L., 2008. Asymptotic profiles of the steady states for an SIS epidemic reaction-diffusion model, in: Discrete and Continuous Dynamical Systems. pp. 1–20. https://doi.org/10.3934/dcds.2008.21.1
  2. Araz, O.M., Jehn, M., Lant, T., Fowler, J.W., 2012. A new method of exercising pandemic preparedness through an interactive simulation and visualization. J. Med. Syst. 36, 1475–1483. https://doi.org/10.1007/s10916-010-9608-7
  3. Bijl, J.L., Boer, C.A., 2011. Advanced 3D visualization for simulation using game technology, in: Proceedings - Winter Simulation Conference. Winter Simulation Conference, pp. 2810–2821. https://doi.org/10.1109/WSC.2011.6147985
  4. Bossomaier, T., Bruzzone, A.G., Massei, M., Newth, D., Rosen, J., 2009. Pandemic dynamic objects & reactive agents, in: International Workshop on MAS, MAS, held at I3M. pp. 115–122.
  5. Bruzzone, A.G., 2018. MS2G as pillar for developing strategic engineering as a new discipline for complex problem solving, in: 30th European Modeling and Simulation Symposium, EMSS 2018. pp. 405–411.
  6. Bruzzone, A.G., Massei, M., Madeo, F., Tarone, F., Petuhova, J., 2011. Intelligent agents for pandemic modeling, Proc. of EAIA - Spring SIM. pp. 23–30.
  7. Bruzzone, A.G., Massei, M., Sinelshchikov, K., Fadda, P., Fancello, G., Fabbrini, G., Gotelli, M., 2019. Extended reality, intelligent agents and simulation to improve efficiency, safety and security in harbors and port plants. 21st HMS, 88–91. https://doi.org/10.46354/i3m.2019.hms.012
  8. Bruzzone, A.G., Massei, M., Tremori, A., Longo, F., Nicoletti, L., ..., 2014. MS2G: simulation as a service for data mining and crowd sourcing in vulnerability reduction. Proc. WAMS ….
  9. Bruzzone, A.G., Matteo, R. Di, 2018. Strategic Engineering and Innovative Modeling Paradigms Proc. of WAMS, Praha, CZ, pp.14–19.
  10. Bruzzone, A.G., Sinelshchikov, K., Massei, M., 2020a. Epidemic simulation based on intelligent agents. 9th Int. Work. Innov. Simul. Heal. Care, IWISH 2020 86–91. https://doi.org/10.46354/i3m.2020.iwish.015
  11. Bruzzone, A.G., Sinelshchikov, K., Massei, M., Pedemonte, M., 2020b. Town protection simulation. 19th Int. Conf. Model. Appl. Simulation, MAS 2020 160–165. https://doi.org/10.46354/i3m.2020.mas.021
  12. De Rooij, D., Belfroid, E., Hadjichristodoulou, C., Mouchtouri, V.A., Raab, J., Timen, A., 2020. Educating, training, and exercising for infectious disease control with emphasis on cross-border settings: An integrative review. Global. Health 16. https://doi.org/10.1186/S12992-020-00604-0
  13. Dieckmann, P., Torgeirsen, K., Qvindesland, S.A., Thomas, L., Bushell, V., Langli Ersdal, H., 2020. The use of simulation to prepare and improve responses to infectious disease outbreaks like COVID-19: practical tips and resources from Norway, Denmark, and the UK. Adv. Simul. 5. https://doi.org/10.1186/s41077-020-00121-5
  14. Galvão, T.A.B., Neto, F.M.M., Bonates, M.F., Campos, M.T., 2012. A serious game for supporting training in risk management through project-based learning. Commun. Comput. Inf. Sci. 248 CCIS, 52–61. https://doi.org/10.1007/978-3-642-31800-9_6
  15. Karshenas, S., Haber, D., 2012. Developing a serious game for construction planning and scheduling education, in: Construction Research Congress 2012: Construction Challenges in a Flat World, Proc. Construction Research Congress. American Society of Civil Engineers, pp. 2042–2051. https://doi.org/10.1061/9780784412329.205
  16. Mao, L., Bian L. 2011 Agent based simulation for a dual diffusion process of influenza & human preventive behavior, Int.J.Geogr.Inf.Sci. 25, 1371–1388 https://doi.org/10.1080/13658816.2011.556121
  17. Mossel, A., Peer, A., Goellner, J., Kaufmann, H., 2015. REQUIREMENTS ANALYSIS ON A VIRTUAL REALITY TRAINING SYSTEM FOR CBRN CRISIS PREPAREDNESS, in: Proceedings of the 59th Annual Meeting of the International Society for the Systems Sciences (ISSS). pp. 1–20.
  18. Perrotta, C., Featherstone, G., Aston, H., Houghton, E., 2013. Game-based learning: Latest evidence and future directions, NFER
  19. Perry, R.W., 2018. Defining Disaster: An Evolving Concept. Springer, Cham, pp. 3–22. https://doi.org/10.1007/978-3-319-63254-4_1
  20. Raybourn, E.M., 2014. A new paradigm for serious games: Transmedia learning for more effective training and education. J. Comput. Sci. 5, 471–481. https://doi.org/10.1016/j.jocs.2013.08.005
  21. Stolar, A., 2012. Live CBRN agent training for responders as a key role in a safe crisis recovery, in: Barry, D.L., Coldewey, W.G., Reimer, D.W.G., Rudakov, D. V. (Eds.), NATO Science for Peace and Security Series - E: Human and Societal Dynamics. IOS Press, pp. 58–66. https://doi.org/10.3233/978-1-61499-039-0-58