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Investigating Pedestrians’ Exit Choice with Incident Location Awareness in an Emergency in a Multi-Level Shopping Complex

Author

Listed:
  • Kayvan Aghabayk

    (School of Civil Engineering, College of engineering, University of Tehran, Tehran 4563-11155, Iran)

  • Alireza Soltani

    (School of Civil Engineering, College of engineering, University of Tehran, Tehran 4563-11155, Iran)

  • Nirajan Shiwakoti

    (Sustainable Systems Engineering, School of Engineering, RMIT, Melbourne, VIC 3000, Australia)

Abstract

Limited studies have investigated pedestrians’ exit choices in an emergency in multi-level commercial buildings. In particular, the comparison between exit choices before and after awareness of an incident location is non-existent in the literature. Likewise, the influence of individual attributes, such as the presence of a child or a companion, on the individual’s exit choice in complex architectural layouts has rarely been studied in the literature. This paper aims to address these knowledge gaps by investigating pedestrians’ exit choice behavior in an emergency at a multi-level shopping complex considering exit choice behavior before and after awareness of incident location and the influence of personal attributes (e.g., presence of a child or companion). A survey of 1271 pedestrians for two hypothetical emergency scenarios in a multi-level shopping center in Tehran, Iran was conducted. A tablet-based simulator of a multi-story commercial complex was designed, and on-site interviews were conducted. In the first scenario, participants were asked to select their preferred exit door at the start of the emergency alarm without being informed about the incident location. In the next scenario, the scene of an incident (fire) was displayed without altering the conditions, and pedestrians were asked to choose their desired exit. The utility models investigated the differences in pedestrians’ behavior before and after awareness of the fire location. The models show differences in pedestrian decisions to evacuate and select the exit when the fire location information was available compared to when only emergency alarm information was available. Further, differences in evacuation strategy between the people who preferred to delay the exit and those who preferred to exit immediately were observed. Participants with children were more concerned about the ease of moving on the route and preferred a less congested route and exit area. Differences in evacuation behavior on the ground floor and other floors were also observed.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:19:p:11875-:d:920629
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    References listed on IDEAS

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    1. Haghani, Milad & Sarvi, Majid, 2018. "Crowd behaviour and motion: Empirical methods," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 253-294.
    2. Antonini, Gianluca & Bierlaire, Michel & Weber, Mats, 2006. "Discrete choice models of pedestrian walking behavior," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 667-687, September.
    3. Kayvan Aghabayk & Kiarash Radmehr & Nirajan Shiwakoti, 2020. "Effect of Intersecting Angle on Pedestrian Crowd Flow under Normal and Evacuation Conditions," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    4. Haghani, Milad & Sarvi, Majid, 2017. "Stated and revealed exit choices of pedestrian crowd evacuees," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 238-259.
    5. Liu, Shaobo & Yang, Lizhong & Fang, Tingyong & Li, Jian, 2009. "Evacuation from a classroom considering the occupant density around exits," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(9), pages 1921-1928.
    6. Yongqing Guo & Siyuan Ma & Fulu Wei & Liqun Lu & Feng Sun & Jie Wang, 2022. "Analysis of Behavior Characteristics for Pedestrian Twice-Crossing at Signalized Intersections Based on an Improved Social Force Model," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    7. 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.
    8. Vladislav Krivda & Jan Petru & David Macha & Jakub Novak, 2021. "Use of Microsimulation Traffic Models as Means for Ensuring Public Transport Sustainability and Accessibility," Sustainability, MDPI, vol. 13(5), pages 1-38, March.
    9. Ajjima Soathong & Douglas Wilson & Prakash Ranjitkar & Subeh Chowdhury, 2019. "A Critical Review of Policies on Pedestrian Safety and a Case Study of New Zealand," Sustainability, MDPI, vol. 11(19), pages 1-27, September.
    10. Shi, Xiaomeng & Ye, Zhirui & Shiwakoti, Nirajan & Tang, Dounan & Lin, Junkai, 2019. "Examining effect of architectural adjustment on pedestrian crowd flow at bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 522(C), pages 350-364.
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