Skip to main content

Human Evacuation Movement Simulation Model: Concepts and Techniques

  • Conference paper
  • First Online:
Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2022)

Abstract

An emergency scenario is an unforeseen situation that threatens human life, and it is related to the emergent movements of evacuees, which is a critical challenge to model as their movements are unpredictable However, such practices provide less concern on how humans move, individual behaviours and individual differences, obstacles and other components. Therefore, modelling and simulation (M&S) are one of the methods that can be used to face this issue. Modelling is a method of solving problems that can be replaced by a simple object that describes the real system with its behaviour. A program with a running algorithm of a computer model is called a computer simulation. In order to develop a simulation model, a conceptual model consisting of a few components such as input, output, and techniques to be used is found to be important to be investigated for modelling the human evacuation egress (EE) movements. Therefore, two simulation techniques were found appropriate for modelling human EE, namely Social Force (SF) and Agent-based (AB). AB is autonomous with self-directed agents that pursue a series of predefined guidelines and rules to accomplish the objectives whilst the interaction among agents and the environment. Whereas SF is an approach to representing human behaviour with social-psychological and physical forces. The primary aim of this work is to review previous conceptual models and to propose a preliminary concept for modelling the human EE simulation. The findings reveal that the significant important components, such as the concept of the EE simulation model, have been identified based on the appropriateness and importance of each, such as the simulation techniques, EE movement procedure, and EE movement state. The conceptual model will be designed to assist in the development process of the EE simulation model for future work.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Edrisi, A., Lahoorpoor, B., Lovreglio, R.: Simulating metro station evacuation using three agent-based exit choice models. Case Stud. Transp. policy 9(3), 1261–1272 (2021)

    Article  Google Scholar 

  2. Hassanpour, S., Gonzalez, V., Liu, J., Zou, Y., Cabrera-Guerrero, G.: A hybrid hierarchical agent-based simulation approach for buildings indoor layout evaluation based on the post-earthquake evacuation. Adv. Eng. Inf. 51, 101531 (2022)

    Article  Google Scholar 

  3. Kano, T., Iwamoto, M., Ueyama, D.: Decentralised control of multiple mobile agents for quick, smooth, and safe movement. Phys. A Stat. Mech. Appl. 572, 125898 (2021). https://doi.org/10.1016/j.physa.2021.125898

    Article  Google Scholar 

  4. Li, M.X., Zhu, S.B., Wang, J.H., Zhou, Z.: Research on fire safety evacuation in a university library in Nanjing. Procedia Eng. 211, 372–378 (2018). https://doi.org/10.1016/j.proeng.2017.12.025

    Article  Google Scholar 

  5. Giordano, G., Sjöberg, J.: Black- and white-box approaches for cascaded tanks benchmark system identification. Mech. Syst. Signal Process. 108, 387–397 (2018). https://doi.org/10.1016/j.ymssp.2018.01.008

    Article  Google Scholar 

  6. Zhang, H., Liu, H., Qin, X., Liu, B.: Modified two-layer social force model for emergency earthquake evacuation. Phys. A Stat. Mech. Appl. 492, 1107–1119 (2018). https://doi.org/10.1016/j.physa.2017.11.041

    Article  Google Scholar 

  7. Eliyan, L.F.: Modeling family behaviors in crowd simulation, no. January, 2017

    Google Scholar 

  8. Dutt, A., Ismail, M.A.: A Systematic Review on Educational Data Mining, vol. 5, pp. 15991–16005 (2017)

    Google Scholar 

  9. Noor Akma, A.B., Ainil Fahsha, A.N., Majid, M.A., Adam, K., Younis, Y.M., Fakhreldin, M.: Vehicular traffic flow simulation model using discrete event simulation: a case study. In: 3ICT Bahrain 2018, pp. 1–6. IEEE (2018)

    Google Scholar 

  10. Yuan, Z., Guo, R., Tang, S., He, B., Bian, L., Li, Y.: Simulation of the separating crowd behavior in a T-shaped channel based on the social force model. IEEE Access 7, 13668–13682 (2019). https://doi.org/10.1109/ACCESS.2019.2894345

    Article  Google Scholar 

  11. Zankoul, E., Khoury, H., Awwad, R.: Evalutation of agent-based and discrete-event simulation for modeling construction earthmoving operations. In: Proceedings of the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2015), no. June (2017). https://doi.org/10.22260/isarc2015/0014

  12. Marshall, D.A., et al.: Selecting a dynamic simulation modeling method for health care delivery research part 2: report of the ISPOR dynamic simulation modeling emerging good practices task force. Value Heal. 18(2), 147–160 (2015). https://doi.org/10.1016/j.jval.2015.01.006

    Article  Google Scholar 

  13. Robinson, S., Arbez, G., Birta, L.G., Tolk, A., Wagner, G.: Conceptual modeling: definition, purpose and benefits. In: Proceedings of the Winter Simulation Conference, vol. 2016-Febru, pp. 2812–2826 (2016). https://doi.org/10.1109/WSC.2015.7408386

  14. Wu, S., Del Zendeh, E.: A conceptual framework to simulate building occupancy using crowd modelling techniques for energy analysis, no. October 2016 (2017)

    Google Scholar 

  15. Jumadi, S., Quincey, D.: A conceptual framework of volcanic evacuation simulation of Merapi using agent-based model and GIS. Procedia Soc. Behav. Sci. 227, 402–409 (2016). https://doi.org/10.1016/j.sbspro.2016.06.092. No. November 2015

  16. Page, S.: Systems Simulation: Topics in Descriptive Simulation Modeling Techniques for Sensitivity Estimation Simulation-based Optimization Techniques, pp. 1–45 (2013)

    Google Scholar 

Download references

Acknowledgement

This research is financially supported by Faculty of Computing Information Technology, Tunku Abdul Rahman University College (TAR-UC). Appreciation to the reviewers and editors for considering this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Noor Akma Abu Bakar .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bakar, N.A.A., Lim, S.M., Majid, M.A. (2023). Human Evacuation Movement Simulation Model: Concepts and Techniques. In: Al-Sharafi, M.A., Al-Emran, M., Al-Kabi, M.N., Shaalan, K. (eds) Proceedings of the 2nd International Conference on Emerging Technologies and Intelligent Systems . ICETIS 2022. Lecture Notes in Networks and Systems, vol 573. Springer, Cham. https://doi.org/10.1007/978-3-031-20429-6_13

Download citation

Publish with us

Policies and ethics