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Impact of risk preferences on evacuee behavior and attention distribution in urban underground space evacuations

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  • Wei, Yixuan
  • Zhang, Yixing
  • Xu, Yifei
  • Wang, Shu
  • Liu, Jianguo
  • Jin, Longzhe
  • Ou, Shengnan
  • Pan, Song
  • Liu, Yiqiao

Abstract

Evacuation and conducting emergency rescue operations in underground spaces pose substantial challenges. However, limited work has been done to investigate how evacuees’ heterogeneity influence the evacuation efficiency. In this study, we conducted virtual environment experiment and on-site experiment to analyze the physical behavior and attention distribution of evacuees with different risk preferences during route selections. A total of 30 participants were clustered into three groups: Risk Averter (RA), Risk Neuter (RN) and Risk Seeker (RS), based on the proportion of choosing safe detours. Eye metrics analysis revealed that RA allocated more time to gaze at risk elements, whereas RS tended to pay more attention to the route distance (P =0.003). The total fixation time for RA and RS was about 300 ms longer than RN (P =0.007), indicating that RN exhibited more cautious behavior pattern when selecting an evacuation route. In addition, all participants displayed a noticeable gaze bias towards potential choices during the decision-making process. Specifically, gaze likelihood increased and exceeded 50% at 300–400 ms before decisions were made. Additionally, evacuation models were established based on AnyLogic to investigate the influence of evacuees’ risk preference on evacuation efficiency. The evacuation simulation results demonstrated a significant improvement in evacuation efficiency when all evacuees adopted a risk-averse approach. This resulted in a reduction of evacuation time by 12.07–28.84% compared to the benchmark condition. The findings offer valuable insights into the behavior prediction in the evacuation simulation and emergency management in urban underground spaces.

Suggested Citation

  • Wei, Yixuan & Zhang, Yixing & Xu, Yifei & Wang, Shu & Liu, Jianguo & Jin, Longzhe & Ou, Shengnan & Pan, Song & Liu, Yiqiao, 2024. "Impact of risk preferences on evacuee behavior and attention distribution in urban underground space evacuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 640(C).
  • Handle: RePEc:eee:phsmap:v:640:y:2024:i:c:s0378437124002073
    DOI: 10.1016/j.physa.2024.129698
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    References listed on IDEAS

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    1. Young-Hoon Bae & Young-Chan Kim & Ryun-Seok Oh & Jong-Yeong Son & Won-Hwa Hong & Jun-Ho Choi, 2020. "Gaze Point in the Evacuation Drills: Analysis of Eye Movement at the Indoor Wayfinding," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
    2. Maier, Johannes & Rüger, Maximilian, 2010. "Measuring Risk Aversion Model-Independently," Discussion Papers in Economics 11873, University of Munich, Department of Economics.
    3. David S. Dixon & Pallab Mozumder & William F. Vásquez & Hugh Gladwin, 2017. "Heterogeneity Within and Across Households in Hurricane Evacuation Response," Networks and Spatial Economics, Springer, vol. 17(2), pages 645-680, June.
    4. Huang, Keke & Zheng, Xiaoping & Yang, Yeqing & Wang, Tao, 2015. "Behavioral evolution in evacuation crowd based on heterogeneous rationality of small groups," Applied Mathematics and Computation, Elsevier, vol. 266(C), pages 501-506.
    5. Liu, Qian, 2018. "The effect of dedicated exit on the evacuation of heterogeneous pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 305-323.
    6. Jiansong Wu & Zhuqiang Hu & Jinyue Chen & Zheng Li, 2018. "Risk Assessment of Underground Subway Stations to Fire Disasters Using Bayesian Network," Sustainability, MDPI, vol. 10(10), pages 1-21, October.
    7. Li, Yang & Chen, Maoyin & Zheng, Xiaoping & Dou, Zhan & Cheng, Yuan, 2020. "Relationship between behavior aggressiveness and pedestrian dynamics using behavior-based cellular automata model," Applied Mathematics and Computation, Elsevier, vol. 371(C).
    8. Ning Ding, 2020. "The effectiveness of evacuation signs in buildings based on eye tracking experiment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 103(1), pages 1201-1218, August.
    9. Michael K. Lindell & Ronald W. Perry, 2012. "The Protective Action Decision Model: Theoretical Modifications and Additional Evidence," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 616-632, April.
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