Synergetic Decision-Making: Analyzing the Interplay of Human Behavior and Physical Infrastructure in Emergency Evacuations via an Analytical Approach
Emergency evacuations involve a complex interaction between different stress-related factors (encompassing both human behavior and physical infrastructure) and associated responses. Utilizing the unity real-time development platform, this research examines these dynamics by exploring diverse aspects...
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| Published in | Global journal of flexible systems management Vol. 25; no. 4; pp. 785 - 803 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
New Delhi
Springer India
01.12.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0972-2696 0974-0198 |
| DOI | 10.1007/s40171-024-00412-0 |
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| Abstract | Emergency evacuations involve a complex interaction between different stress-related factors (encompassing both human behavior and physical infrastructure) and associated responses. Utilizing the unity real-time development platform, this research examines these dynamics by exploring diverse aspects of evacuation, such as psychological traits and their interaction with physical infrastructure elements such as building layout, exit options, and crowd density. A single-story workspace at Marshall University was used as a case study. The findings reveal that individual human traits, behaviors, and interactions significantly impact evacuation success, often more than the physical infrastructure features themselves. Moreover, there is potential for the coupling effect where multiple stress inducing and/or reducing factors may act together and increase and/or decrease evacuation efficiency. In essence, this study underscores the complexity of human behavior under stress, emphasizing the importance of considering related factors in evacuation models to simulate realistic scenarios accurately. These insights, validated by subject matter experts for general applicability across various workplace setups, can help organizations enhance their emergency management strategies, resulting in more effective systems, better-prepared personnel, and more adaptive responses to different stressors. |
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| AbstractList | Emergency evacuations involve a complex interaction between different stress-related factors (encompassing both human behavior and physical infrastructure) and associated responses. Utilizing the unity real-time development platform, this research examines these dynamics by exploring diverse aspects of evacuation, such as psychological traits and their interaction with physical infrastructure elements such as building layout, exit options, and crowd density. A single-story workspace at Marshall University was used as a case study. The findings reveal that individual human traits, behaviors, and interactions significantly impact evacuation success, often more than the physical infrastructure features themselves. Moreover, there is potential for the coupling effect where multiple stress inducing and/or reducing factors may act together and increase and/or decrease evacuation efficiency. In essence, this study underscores the complexity of human behavior under stress, emphasizing the importance of considering related factors in evacuation models to simulate realistic scenarios accurately. These insights, validated by subject matter experts for general applicability across various workplace setups, can help organizations enhance their emergency management strategies, resulting in more effective systems, better-prepared personnel, and more adaptive responses to different stressors. |
| Author | Alzarrad, Ammar Miller, Matthew Chowdhury, Sudipta Hossain, Niamat Ullah Ibne |
| Author_xml | – sequence: 1 givenname: Matthew surname: Miller fullname: Miller, Matthew organization: Department of Computer Sciences and Electrical Engineering, Marshall University – sequence: 2 givenname: Sudipta orcidid: 0009-0003-2250-6838 surname: Chowdhury fullname: Chowdhury, Sudipta email: chowdhurys@marshall.edu organization: Department of Mechanical and Industrial Engineering, Marshall University – sequence: 3 givenname: Ammar surname: Alzarrad fullname: Alzarrad, Ammar organization: Department of Civil Engineering, Marshall University – sequence: 4 givenname: Niamat Ullah Ibne surname: Hossain fullname: Hossain, Niamat Ullah Ibne organization: Department of Engineering Management, Arkansas State University, State University |
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| Copyright | The Author(s) under exclusive licence to Global Institute of Flexible Systems Management 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Keywords | Evacuation dynamics Human behavior in evacuations Emergency preparedness strategies Flexibility in evacuation decision-making Building attributes in emergencies Evacuation modeling |
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| References_xml | – reference: GwynneSAmosMKinatederMBénichouNBoyceKNatalie van der WalCRonchiEThe future of evacuation drills: Assessing and enhancing evacuee performanceSafety Science202012910476710.1016/j.ssci.2020.104767 – reference: NainAJainDGuptaSKumarAImproving first Responders' effectiveness in post-disaster scenarios through a hybrid framework for damage assessment and prioritizationGlobal Journal of Flexible Systems Management202324340943710.1007/s40171-023-00346-z – reference: PanXHanCSDauberKLawKHA multi-agent based framework for the simulation of human and social behaviors during emergency evacuationsAI and Society20072211313210.1007/s00146-007-0126-1 – reference: ChowdhurySZhuJZhangWOptimized restoration planning of infrastructure system-of-systems using heterogeneous network flow simulationJournal of Computing in Civil Engineering20203450402003210.1061/(ASCE)CP.1943-5487.0000913 – reference: WidedRIT capabilities, strategic flexibility and organizational resilience in SMEs post-COVID-19: A mediating and moderating role of big data analytics capabilitiesGlobal Journal of Flexible Systems Management202324112314210.1007/s40171-022-00327-8 – reference: Beyaz, C., Özgener, E. D., Bagcı, Y. G., Akın, Ö., & Demirel, H. (2021). Integration of building information modeling and agent-based modeling for evacuation simulation. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. https://doi.org/10.5194/isprs-archives-XLVI-4-W5-2021-109-2021 – reference: Bo, Y., Cheng, W., Hua, H., & Lijun, L. (2007). A multi-agent and PSO based simulation for human behavior in emergency evacuation. In International conference on computational intelligence and security (CIS 2007) (pp. 296–300). https://doi.org/10.1109/CIS.2007.209 – reference: PrabhuHMSrivastavaAKCEO transformational leadership, supply chain agility and firm performance: A TISM modeling among SMEsGlobal Journal of Flexible Systems Management2023241516510.1007/s40171-022-00323-y – reference: JiYWangWZhengMChenSReal time building evacuation modeling with an improved cellular automata method and corresponding IoT system implementationBuildings202212671810.3390/buildings12060718 – reference: KaserekaSKasoroNKyamakyaKDoungmo GoufoEFChokkiAPYengoMVAgent-based modelling and simulation for evacuation of people from a building in case of fireProcedia Computer Science2018130101710.1016/j.procs.2018.04.006 – reference: BoukasEKostavelisIGasteratosASirakoulisGCRobot guided crowd evacuationIEEE Transactions on Automation Science and Engineering201512273975110.1109/TASE.2014.2323175 – reference: RahoutiALovreglioRGwynneSJacksonPDatoussaïdSHuntAHuman behaviour during a healthcare facility evacuation drills: Investigation of pre-evacuation and travel phasesSafety Science202012910475410.1016/j.ssci.2020.104754 – reference: EgodageNAbdeenFNSridarranPFire emergency evacuation procedures for differently-abled community in high-rise buildingsJournal of Facilities Management202018550551910.1108/JFM-07-2020-0043 – reference: XudongCHepingZQiyuanXYongZHongjiangZChenjieZStudy of announced evacuation drill from a retail storeBuilding and Environment200944586487010.1016/j.buildenv.2008.06.012 – reference: SharmaSOgunlanaKScribnerDGrynovickiJModeling human behavior during emergency evacuation using intelligent agents: A multi-agent simulation approachInformation Systems Frontiers20182074175710.1007/s10796-017-9791-x – reference: WasJLubaśRTowards realistic and effective Agent-based models of crowd dynamicsNeurocomputing201414619920910.1016/j.neucom.2014.04.057 – reference: Almeida, J. E., Rosseti, R., Leça Coelho, A., & Roberto Frias, R. (2013). Crowd simulation modeling applied to emergency and evacuation simulations using multi-agent systems. 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