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Enhancing Disaster Response for Hazardous Materials Using Emerging Technologies: The Role of AI and a Research Agenda

  • Jaziar Radianti
  • Ioannis DokasEmail author
  • Kees Boersma
  • Nadia Saad Noori
  • Nabil Belbachir
  • Stefan Stieglitz
Conference paper
  • 501 Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 1000)

Abstract

Despite all efforts like the introduction of new training methods and personal protective equipment, the need to reduce the number of First Responders (FRs) fatalities and injuries remains. Reports show that advances in technology have not yet resulted in protecting FRs from injuries, health impacts, and odorless toxic gases effectively. Currently, there are emerging technologies that can be exploited and applied in emergency management settings to improve FRs protection. The aim of this paper is threefold: First, to conduct scenario analysis and situations that currently threat the first responders. Second, to conduct gap analysis concerning the new technology needs in relations to the proposed scenarios. Third, to propose a research agenda and to discuss the role of Artificial Intelligence within it.

Keywords

Hazardous materials Emerging technologies Emergency management First responders 

References

  1. 1.
    McGarry, S.L., et al.: Preventing the preventable: the 2015 Tianjin explosions, in Harvard T.H Chan School of Public Helath, Hongkong jockey Club Disaster Preparedness and Response Institute, Hongkong (2017)Google Scholar
  2. 2.
    Sarter, N.B., Woods, D.D.: Situation awareness: a critical but ill-defined phenomenon. Int. J. Aviat. Psychol. 1(1), 45–57 (1991)CrossRefGoogle Scholar
  3. 3.
    Hall, A.H.: A Survey of Firefighter Cancers and Other Chronic Diseases: Preliminary Results (2016)Google Scholar
  4. 4.
    Svensson, S.: Firefighter fatalities in Sweden, 1937–2016. Brandteknik Lunds tekniska högskola, Lund (2017)Google Scholar
  5. 5.
    IFAFRI: Capability Gap 2 “Deep Dive” Analysis Synopsis (2017)Google Scholar
  6. 6.
    Comfort, L.K.: Crisis management in hindsight: cognition, communication, coordination, and control. Public Adm. Rev. 67, 189–197 (2007)CrossRefGoogle Scholar
  7. 7.
    Endsley, M.R.: Designing for Situation Awareness: An Approach to User-Centered Design. CRC Press (2016)Google Scholar
  8. 8.
    Klein, G.: The recognition-primed decision (RPD) model: looking back, looking forward. In: Naturalistic Decision Making, pp. 285–292 (1997)Google Scholar
  9. 9.
    Zsambok, C.E., Klein, G.: Naturalistic Decision Making. Psychology Press (2014)Google Scholar
  10. 10.
    Weick, K.E., Roberts, K.H.: Collective mind in organizations: heedful interrelating on flight decks. In: Administrative Science Quarterly, pp. 357–381 (1993)CrossRefGoogle Scholar
  11. 11.
    Druskat, V.U., Pescosolido, A.T.: The content of effective teamwork mental models in self-managing teams: ownership, learning and heedful interrelating. Hum. Relat. 55(3), 283–314 (2002)CrossRefGoogle Scholar
  12. 12.
    Weber, K., Glynn, M.A.: Making sense with institutions: context, thought and action in Karl Weick’s theory. Organ. Stud. 27(11), 1639–1660 (2006)CrossRefGoogle Scholar
  13. 13.
    Weick, K.E., Sutcliffe, K.M., Obstfeld, D.: Organizing and the process of sensemaking. Organ. Sci. 16(4), 409–421 (2005)CrossRefGoogle Scholar
  14. 14.
    Endsley, M.R.: Toward a theory of situation awareness in dynamic systems. Hum. Factors 37(1), 32–64 (1995)CrossRefGoogle Scholar
  15. 15.
    Taber, N., Plumb, D., Jolemore, S.: “Grey” areas and “organized chaos” in emergency response. J. Workplace Learn. 20(4), 272–285 (2008)CrossRefGoogle Scholar
  16. 16.
    Wolbers, J., Boersma, K.: The common operational picture as collective sensemaking. J. Conting. Crisis Manag. 21(4), 186–199 (2013)CrossRefGoogle Scholar
  17. 17.
    Mirbabaie, M., Zapatka, E.: Sensemaking in Social Media Crisis Communication–A Case Study on the Brussels Bombings in 2016 (2017)Google Scholar
  18. 18.
    Pentina, I., Tarafdar, M.: From “information” to “knowing”: exploring the role of social media in contemporary news consumption. Comput. Hum. Behav. 35, 211–223 (2014)CrossRefGoogle Scholar
  19. 19.
    Dervin, B.: Sense-making theory and practice: an overview of user interests in knowledge seeking and use. J. Knowl. Manag. 2(2), 36–46 (1998)CrossRefGoogle Scholar
  20. 20.
    Savolainen, R.: The sense-making theory: reviewing the interests of a user-centered approach to information seeking and use. Inf. Process. Manag. 29(1), 13–28 (1993)CrossRefGoogle Scholar
  21. 21.
    Stieglitz, S., et al.: Sensemaking and communication roles in social media crisis communication (2017)Google Scholar
  22. 22.
    Rabjohn, A.: The human cost of being a ‘first responder’. J. Bus. Cont. Emerg. Plann. 6(3), 268–271 (2013)Google Scholar
  23. 23.
    SWD: Overview of Natural and Man-made Disaster Risks the European Union may face, in 176 Commission Staff Working Document, Brussels (2017)Google Scholar
  24. 24.
    Europol: EU Terrorism Situation and Trend Report (TE-SAT) (2017)Google Scholar
  25. 25.
    Atyabi, A., MahmoudZadeh, S., Nefti-Meziani, S.: Current advancements on autonomous mission planning and management systems: an AUV and UAV perspective. Ann. Rev. Control 46, 196–215 (2018)CrossRefGoogle Scholar
  26. 26.
    Seneviratne, S., et al.: A survey of wearable devices and challenges. IEEE Commun. Surv. Tutor. 19(4), 2573–2620 (2017)CrossRefGoogle Scholar
  27. 27.
    Garcia-Luna-Aceves, J.J.H., Westphal, C.D.: Network support for AR/VR and immersive video application: a survey. In: Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, ICETE 2018, vol. 1 (2018)Google Scholar
  28. 28.
    Rantanen, T., et al.: The adoption of care robots in home care—a survey on the attitudes of Finnish home care personnel. J. Clin. Nurs. 27(9–10), 1846–1859 (2018)CrossRefGoogle Scholar
  29. 29.
    Chung, S., et al.: A survey on aerial swarm robotics. IEEE Trans. Rob. 34(4), 837–855 (2018)CrossRefGoogle Scholar
  30. 30.
    Radianti, J., Gonzalez, J.J., Granmo, O.-C.: Publish-subscribe smartphone sensing platform for the acute phase of a disaster: a framework for emergency management support. In: 2014 IEEE International Conference on Pervasive Computing and Communication Workshops (PERCOM WORKSHOPS). IEEE (2014)Google Scholar
  31. 31.
    Radianti, J., Lazreg, M.B., Granmo, O.-C.: Fire simulation-based adaptation of SmartRescue App for serious game: design, setup and user experience. Eng. Appl. Artif. Intell. 46, 312–325 (2015)CrossRefGoogle Scholar
  32. 32.
    Ryabko, B., Rakitskiy, A.: Theoretical approach to performance evaluation of supercomputers. J. Circ. Syst. Comput. 27(04), 1850062 (2018)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Jaziar Radianti
    • 1
  • Ioannis Dokas
    • 2
    Email author
  • Kees Boersma
    • 3
  • Nadia Saad Noori
    • 4
  • Nabil Belbachir
    • 4
  • Stefan Stieglitz
    • 5
  1. 1.University of AgderKristiansandNorway
  2. 2.Demokritus University of ThraceXanthiGreece
  3. 3.Vrije UniversityAmsterdamThe Netherlands
  4. 4.NORCE ResearchOsloNorway
  5. 5.University of Duisburg EssenDuisburgGermany

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