EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 40 / No 4 (August 2022) JNWPU, 40 4 (2022) 853-864 References
Open Access
Issue
JNWPU
Volume 40, Number 4, August 2022
Page(s) 853 - 864
DOI https://doi.org/10.1051/jnwpu/20224040853
Published online 30 September 2022
  1. XUE Z, BLOEBAUM C. A particle swarm optimization based aircraft evacuation simulation model-vacateair[C]//AIAA Aerospace Sciences Meeting & Exhibit, 2013 [Google Scholar]
  2. Safety Regulation Group. CAP 780: aviation safety review-2008[EB/OL]. (2008-11-11)[2021-09-02]. [Article] [Google Scholar]
  3. Office of Technology Assessment. Aircraft Evacuation Testing: Research and Technology Issues[EB/OL]. (1993-09-15)[2021-09-02]. [Article] [Google Scholar]
  4. ZHANG Yugang, SONG Bifeng, XUE Hongjun. Advances in simulation for civil aircraft emergency evaluation[J]. Advances in Aeronautical Science and Engineering, 2010, 1(1): 55–61 [Article] (in Chinese) [Google Scholar]
  5. HELBING D, MOLNAR P. Social force model for pedestrian dynamics[J]. Physical Review E, 1998, 51(5): 4282 [Google Scholar]
  6. ALTSHULER E, RAMOS O, NUNEZ Y, et al. Symmetry breaking in escaping ants[J]. The American Naturalist, 2005, 166: 643–649. [Article] [CrossRef] [Google Scholar]
  7. TIAN W, SONG W G, MA J, et al. Experimental study of pedestrian behaviors in a corridor based on digital image processing[J]. Fire Safety Journal, 2012, 47: 8–15. [Article] [CrossRef] [Google Scholar]
  8. HELBING D, JOHANSSON A, AL-ABIDEEN H Z. Crowd turbulence: the physics of crowd disasters[C]//The Fifth International Conference on Nonlinear Mechanics, Shanghai, 2007: 967–969 [Google Scholar]
  9. HELBING D BUZNA L JOHANSSON A, et al. Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions[J]. Transportation Science, 2005, 39(1): 1–24. [Article] [CrossRef] [Google Scholar]
  10. ZHANG Peihong, SHANG Rongxue, JIANG Zeming, et al. Investigation and analysis of evacuation behavior in a large shopping mall[J]. Journal of Northeastern University, 2011, 32(3): 439–442. [Article] (in Chinese) [Google Scholar]
  11. ZHANG Qingqing. Simulation on emergency evacuation in civil aircraft[D]. Tianjin: Civil Aviation University of China, 2016 (in Chinese) [Google Scholar]
  12. GUO Yu, HE Li, SHI Hongjie, et al. Questionnaire research on the evacuation behavior characteristics of different crowds in subway[J]. Journal of Safety Science and Technology, 2012, 8(4): 183–188. [Article] (in Chinese) [Google Scholar]
  13. LI Jingqiang, LI Kang, WANG Bei, et al. Anxiety characteristic in air passengers: a cross-sectional analysis[J]. Chinese Journal of Public Health, 2019, 35(4): 398–401. [Article] (in Chinese) [Google Scholar]
  14. YAN Weidong, LIANG Qingshan, CHEN Baozhi. Mental and behavioral differences among students of different levels and starting points during evacuation from fire[J]. China Safety Science Journal, 2006, 16(3): 8–11. [Article] (in Chinese) [Google Scholar]
  15. KE Xiao, CHEN Wuyi, DENG Yunfeng, et al. Investigation and correlation study on evacuation behavior of residents in "4·6" accident of Zhangzhou Gulei[J]. Journal of Safety Science and Technology, 2019, 15(6): 48–54. [Article] (in Chinese) [Google Scholar]
  16. LIU Yanping, WANG Shitong, ZHANG Yu. Emergency behavior research of subway passenger based on the logistic regression[J]. Safety, 2018, 39(1): 23–26. [Article] (in Chinese) [Google Scholar]
  17. LIU Yanping, WANG Shitong, LAI Dihui. Surveys on personnel evacuation in subways in Tianjin[J]. Journal of Catastrophology, 2017, 32(4): 169–172. [Article] (in Chinese) [Google Scholar]
  18. MU Nana, XIAO Guoqing, HE Li, et al. Investigation and correlation study on human evacuation psychological behavior in subway[J]. Journal of Safety Science and Technology, 2013, 9(6): 85–90. [Article] (in Chinese) [Google Scholar]
  19. WANG Yanyun, LI Shugang, CHEN Lianhua. Study on non-adaptive behavior based on individual characteristics of subway passengers[J]. Fire Safety Science, 2019, 28(2): 79–84. [Article] (in Chinese) [Google Scholar]
  20. YUAN Z, JIA H, LIAO M, et al. Simulation model of self-organizing pedestrian movement considering following behavior[J]. Frontiers of Information Technology & Electronic Engineering, 2017, 18(8): 1142–1150 [CrossRef] [Google Scholar]
  21. VELOZ M V, ZHOU K, BOSMAN L, et al. Cerebellar control of gait and interlimb coordination[J]. Brain Structure and Function, 2015, 220(6): 3513–3536. [Article] [CrossRef] [Google Scholar]
  22. MEYER-KNIG T, VALANTO P, POVEL D. Implementing ship motion in AENEAS-model development and first results[C]//Conference Proceedings, Pedestrian and Evacuation Dynamics, Vienna, 2005 [Google Scholar]
  23. CIVIL Aviation Authority, Safety Regulation Group. A database to record human experience of evacuation in aviation accidents[EB/OL]. (2008-07-15)[2021-09-02]. [Article] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.