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Author：

Wei, Y. (Wei, Y..) | Zhang, Y. (Zhang, Y..) | Xu, Y. (Xu, Y..) | Wang, S. (Wang, S..) | Liu, J. (Liu, J..) | Jin, L. (Jin, L..) | Ou, S. (Ou, S..) | Pan, S. (Pan, S..) | Liu, Y. (Liu, Y..)

Indexed by：

EI Scopus SCIE

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.　©　2024　Elsevier　B.V.

Keyword：

Risk preferences Evacuation behavior Eye-tracking technology Evacuation model Urban underground space

Author Community：

  • [ 1 ] [Wei Y.]Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing, 100083, China
  • [ 2 ] [Wei Y.]School of Civil Engineering and Resources, University of Science & Technology Beijing, Beijing, 100083, China
  • [ 3 ] [Wei Y.]Key Laboratory for Engineering Control of Dust Hazard, National Health Commission of People's Republic of China, Beijing, 100083, China
  • [ 4 ] [Zhang Y.]Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing, 100083, China
  • [ 5 ] [Zhang Y.]School of Civil Engineering and Resources, University of Science & Technology Beijing, Beijing, 100083, China
  • [ 6 ] [Zhang Y.]Key Laboratory for Engineering Control of Dust Hazard, National Health Commission of People's Republic of China, Beijing, 100083, China
  • [ 7 ] [Xu Y.]Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing, 100083, China
  • [ 8 ] [Xu Y.]School of Civil Engineering and Resources, University of Science & Technology Beijing, Beijing, 100083, China
  • [ 9 ] [Xu Y.]Key Laboratory for Engineering Control of Dust Hazard, National Health Commission of People's Republic of China, Beijing, 100083, China
  • [ 10 ] [Wang S.]Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing, 100083, China
  • [ 11 ] [Wang S.]School of Civil Engineering and Resources, University of Science & Technology Beijing, Beijing, 100083, China
  • [ 12 ] [Wang S.]Key Laboratory for Engineering Control of Dust Hazard, National Health Commission of People's Republic of China, Beijing, 100083, China
  • [ 13 ] [Liu J.]Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing, 100083, China
  • [ 14 ] [Liu J.]School of Civil Engineering and Resources, University of Science & Technology Beijing, Beijing, 100083, China
  • [ 15 ] [Liu J.]Key Laboratory for Engineering Control of Dust Hazard, National Health Commission of People's Republic of China, Beijing, 100083, China
  • [ 16 ] [Jin L.]Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing, 100083, China
  • [ 17 ] [Jin L.]School of Civil Engineering and Resources, University of Science & Technology Beijing, Beijing, 100083, China
  • [ 18 ] [Jin L.]Key Laboratory for Engineering Control of Dust Hazard, National Health Commission of People's Republic of China, Beijing, 100083, China
  • [ 19 ] [Ou S.]Research Institute of Macro-Safety Science, University of Science and Technology Beijing, Beijing, 100083, China
  • [ 20 ] [Ou S.]School of Civil Engineering and Resources, University of Science & Technology Beijing, Beijing, 100083, China
  • [ 21 ] [Ou S.]Key Laboratory for Engineering Control of Dust Hazard, National Health Commission of People's Republic of China, Beijing, 100083, China
  • [ 22 ] [Pan S.]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 23 ] [Liu Y.]Department of Mechanical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, 50603, Malaysia

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Source ：

Physica A: Statistical Mechanics and its Applications

ISSN： 0378-4371

Year： 2024

Volume： 640

3 . 3 0 0

JCR@2022

Cited Count：

WoS CC Cited Count：

SCOPUS Cited Count： 1

ESI Highly Cited Papers on the List： 0 Unfold All

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 1

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