IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i4p2405-d504552.html
   My bibliography  Save this article

Evacuation Simulation Focusing on Modeling of Disabled People Movement

Author

Listed:
  • Karolina Żydek

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44–100 Gliwice, Poland)

  • Małgorzata Król

    (Department of Heating, Ventilation and Dust Removal Technology, Faculty of Energy and Environmental Engineering, Silesian University of Technology, Konarskiego 20, 44–100 Gliwice, Poland)

  • Aleksander Król

    (Faculty of Transport and Aviation Engineering, Silesian University of Technology, Krasińskiego 8, 40–019 Katowice, Poland)

Abstract

All building users should have the right to safe evacuation. However, evacuation becomes a big challenge when it concerns people with disabilities. Nowadays, computer programs are used to plan escape routes. Therefore, the manuscript deals with the issues of modeling evacuation with particular emphasis on people with disabilities. A review of different evacuation modeling software is presented. The research is performed mainly to see what the limitations of different programs are and how they regard occupants with disabilities. The analyses contain a study of six cases of the evacuation from a building. In this study the three following programs—SIMULEX, STEPS and Pathfinder—are considered. Different populations of people with mobility impairments are modeled. The comparison of the methodology when using these three programs is presented in the following sections. Research has shown that despite the same input data, the results obtained with the three programs differ significantly. In the case of the total evacuation time, the differences reach up to 8%.

Suggested Citation

  • Karolina Żydek & Małgorzata Król & Aleksander Król, 2021. "Evacuation Simulation Focusing on Modeling of Disabled People Movement," Sustainability, MDPI, vol. 13(4), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2405-:d:504552
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/4/2405/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/4/2405/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Keith Christensen & Yuya Sasaki, 2008. "Agent-Based Emergency Evacuation Simulation with Individuals with Disabilities in the Population," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-9.
    2. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    3. Lovreglio, Ruggiero & Ronchi, Enrico & Borri, Dino, 2014. "The validation of evacuation simulation models through the analysis of behavioural uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 166-174.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kayvan Aghabayk & Alireza Soltani & Nirajan Shiwakoti, 2022. "Investigating Pedestrians’ Exit Choice with Incident Location Awareness in an Emergency in a Multi-Level Shopping Complex," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    2. Wang, Xinjian & Liu, Zhengjiang & Loughney, Sean & Yang, Zaili & Wang, Yanfu & Wang, Jin, 2022. "Numerical analysis and staircase layout optimisation for a Ro-Ro passenger ship during emergency evacuation," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    3. Kinateder, Max & Warren, William H., 2021. "Exit choice during evacuation is influenced by both the size and proportion of the egressing crowd," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    4. Haghani, Milad & Sarvi, Majid, 2019. "Laboratory experimentation and simulation of discrete direction choices: Investigating hypothetical bias, decision-rule effect and external validity based on aggregate prediction measures," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 134-157.
    5. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    6. Yunyun Niu & Jieqiong Zhang & Yongpeng Zhang & Jianhua Xiao, 2019. "Modeling Evacuation of High-Rise Buildings Based on Intelligence Decision P System," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    7. Hu, Xiangmin & Chen, Tao & Deng, Kaifeng & Wang, Guanning, 2023. "Effects of aggressiveness on pedestrian room evacuation using extended cellular automata model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 619(C).
    8. Haghani, Milad & Sarvi, Majid & Shahhoseini, Zahra, 2019. "When ‘push’ does not come to ‘shove’: Revisiting ‘faster is slower’ in collective egress of human crowds," Transportation Research Part A: Policy and Practice, Elsevier, vol. 122(C), pages 51-69.
    9. Song, Chengcheng & Shao, Quan & Zhu, Pei & Dong, Min & Yu, Wenfei, 2023. "An emergency aircraft evacuation simulation considering passenger overtaking and luggage retrieval," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    10. Huang, Shenshi & Zhang, Teng & Lo, Siuming & Lu, Shouxiang & Li, Changhai, 2018. "Experimental study of individual and single-file pedestrian movement in narrow seat aisle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 1023-1033.
    11. Fang, Zhi-Ming & Lv, Wei & Jiang, Li-Xue & Xu, Qing-Feng & Song, Wei-Guo, 2016. "Modeling and assessment of civil aircraft evacuation based on finer-grid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 448(C), pages 102-112.
    12. Liu, Yixue & Mao, Zhanli, 2022. "An experimental study on the critical state of herd behavior in decision-making of the crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    13. Lovreglio, Ruggiero & Ronchi, Enrico & Nilsson, Daniel, 2015. "Calibrating floor field cellular automaton models for pedestrian dynamics by using likelihood function optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 308-320.
    14. Maria D Miñambres & Diego R Llanos & Angel M Gento, 2020. "Study of historical evacuation drill data combining regression analysis and dimensionless numbers," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-14, May.
    15. Jin, Cheng-Jie & Shi, Ke-Da & Jiang, Rui & Li, Dawei & Fang, Shuyi, 2023. "Simulation of bi-directional pedestrian flow under high densities using a modified social force model," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).
    16. Haghani, Milad & Sarvi, Majid, 2018. "Hypothetical bias and decision-rule effect in modelling discrete directional choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 361-388.
    17. Yu Zhang & Jason Leezer, 2010. "Simulating human-like decisions in a memory-based agent model," Computational and Mathematical Organization Theory, Springer, vol. 16(4), pages 373-399, December.
    18. Tomoki Tanaka & Yuki Matsuda & Manato Fujimoto & Hirohiko Suwa & Keiichi Yasumoto, 2021. "Evacuation Shelter Decision Method Considering Non-Cooperative Evacuee Behavior to Support the Disaster Weak," Sustainability, MDPI, vol. 13(9), pages 1-21, May.
    19. S. Van Cranenburgh & S. Wang & A. Vij & F. Pereira & J. Walker, 2021. "Choice modelling in the age of machine learning -- discussion paper," Papers 2101.11948, arXiv.org, revised Nov 2021.
    20. Liu, Qiujia & Lu, Linjun & Zhang, Yijing & Hu, Miaoqing, 2022. "Modeling the dynamics of pedestrian evacuation in a complex environment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 585(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:13:y:2021:i:4:p:2405-:d:504552. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.