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Author:

Wei, Yixuan (Wei, Yixuan.) | Liu, Jianguo (Liu, Jianguo.) | Jin, Longzhe (Jin, Longzhe.) | Wang, Shu (Wang, Shu.) | Deng, Fei (Deng, Fei.) | Ou, Shengnan (Ou, Shengnan.) | Pan, Song (Pan, Song.) | Wu, Jinshun (Wu, Jinshun.)

Indexed by:

SSCI Scopus SCIE

Abstract:

A fast evacuation from buildings to emergency shelters is necessary and important after the occurrence of a disaster. We investigated the variations in physical behaviors and cognition processes while finding emergency shelter. The on-site emergency-shelter-finding experiments were conducted in Beijing, China. Participants performed the task by using a wearable eye-tracking device. We aimed to assess three eye metrics: fixation counts, mean fixation duration, and visual attention index, to perform cognitive searching analysis for the environmental elements. The results showed that most people spend more fixation time on digital maps (297.77 & PLUSMN; 195.90 ms) and road conditions (239.43 & PLUSMN; 114.91 ms) than signs (150.90 & PLUSMN; 81.70 ms), buildings (153.44 & PLUSMN; 41.15 ms), and plants (170.11 & PLUSMN; 47.60 ms). Furthermore, most participants exhibit hesitation and retracing behaviors throughout the wayfinding process. The participants with relatively rich disaster experience and a proactive personality exhibit better performance in the shelter-finding task, such as a shorter retracing distance (p = 0.007) and nearer destination (p = 0.037). Eye metrics, together with the questionnaire, can mirror the complexity and heterogeneity of evacuation behavior during emergency shelter-finding. In addition, this also provides insights for the optimization of guidance sign systems and improvements in emergency management.

Keyword:

emergency shelter attention distribution wayfinding behavior directing sign eye metrics

Author Community:

  • [ 1 ] [Wei, Yixuan]Univ Sci & Technol Beijing, Sch Civil Engn & Resources, Beijing 100083, Peoples R China
  • [ 2 ] [Liu, Jianguo]Univ Sci & Technol Beijing, Sch Civil Engn & Resources, Beijing 100083, Peoples R China
  • [ 3 ] [Jin, Longzhe]Univ Sci & Technol Beijing, Sch Civil Engn & Resources, Beijing 100083, Peoples R China
  • [ 4 ] [Wang, Shu]Univ Sci & Technol Beijing, Sch Civil Engn & Resources, Beijing 100083, Peoples R China
  • [ 5 ] [Ou, Shengnan]Univ Sci & Technol Beijing, Sch Civil Engn & Resources, Beijing 100083, Peoples R China
  • [ 6 ] [Wei, Yixuan]Univ Sci & Technol Beijing, Res Inst Macrosafety Sci, Beijing 100083, Peoples R China
  • [ 7 ] [Liu, Jianguo]Univ Sci & Technol Beijing, Res Inst Macrosafety Sci, Beijing 100083, Peoples R China
  • [ 8 ] [Jin, Longzhe]Univ Sci & Technol Beijing, Res Inst Macrosafety Sci, Beijing 100083, Peoples R China
  • [ 9 ] [Wang, Shu]Univ Sci & Technol Beijing, Res Inst Macrosafety Sci, Beijing 100083, Peoples R China
  • [ 10 ] [Ou, Shengnan]Univ Sci & Technol Beijing, Res Inst Macrosafety Sci, Beijing 100083, Peoples R China
  • [ 11 ] [Wei, Yixuan]Natl Hlth Commiss Peoples Republ China, Key Lab Engn Control Dust Hazard, Beijing 100083, Peoples R China
  • [ 12 ] [Liu, Jianguo]Natl Hlth Commiss Peoples Republ China, Key Lab Engn Control Dust Hazard, Beijing 100083, Peoples R China
  • [ 13 ] [Jin, Longzhe]Natl Hlth Commiss Peoples Republ China, Key Lab Engn Control Dust Hazard, Beijing 100083, Peoples R China
  • [ 14 ] [Wang, Shu]Natl Hlth Commiss Peoples Republ China, Key Lab Engn Control Dust Hazard, Beijing 100083, Peoples R China
  • [ 15 ] [Ou, Shengnan]Natl Hlth Commiss Peoples Republ China, Key Lab Engn Control Dust Hazard, Beijing 100083, Peoples R China
  • [ 16 ] [Deng, Fei]North China Inst Sci & Technol, Sch Econ & Management, Langfang 101601, Peoples R China
  • [ 17 ] [Pan, Song]Beijing Univ Technol, Beijing Key Lab Green Built Environm & Energy Effi, Beijing 100124, Peoples R China
  • [ 18 ] [Wu, Jinshun]North China Inst Sci & Technol, Coll Architecture & Civil Engn, Langfang 065201, Peoples R China

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Source :

SUSTAINABILITY

Year: 2023

Issue: 15

Volume: 15

3 . 9 0 0

JCR@2022

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:17

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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