IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v65y2013i3p1765-1781.html
   My bibliography  Save this article

Civilian monitoring video records for earthquake intensity: a potentially unbiased online information source of macro-seismology

Author

Listed:
  • Xiaolin Yang
  • Zhongliang Wu

Abstract

We collected and analyzed 68 civilian monitoring videos recording the scenes of the May 12, 2008, Wenchuan earthquake. These video recordings are shared online by volunteers after the earthquake. Intensity was estimated by visual inspection of the playback video recordings. Comparing to traditional media accounts, these video records have the distinctive unbiased feature in obtaining local intensity due to their dynamic and repeatable nature. We argue that with proper guidance for providing the necessary information of the location and time when sharing these data online, civilian monitoring videos are potentially more and more useful in the citizen-powered macro-seismology. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Xiaolin Yang & Zhongliang Wu, 2013. "Civilian monitoring video records for earthquake intensity: a potentially unbiased online information source of macro-seismology," 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. 65(3), pages 1765-1781, February.
    • Handle: RePEc:spr:nathaz:v:65:y:2013:i:3:p:1765-1781
    DOI: 10.1007/s11069-012-0447-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11069-012-0447-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11069-012-0447-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    2. Anders Johansson & Dirk Helbing & Habib Z. Al-Abideen & Salim Al-Bosta, 2008. "From Crowd Dynamics To Crowd Safety: A Video-Based Analysis," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 497-527.
    3. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    4. Liu, Xuan & Song, Weiguo & Zhang, Jun, 2009. "Extraction and quantitative analysis of microscopic evacuation characteristics based on digital image processing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(13), pages 2717-2726.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lian, Liping & Song, Weiguo & Yuen, Kwok Kit Richard & Telesca, Luciano, 2018. "Investigating the time evolution of some parameters describing inflow processes of pedestrians in a room," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 507(C), pages 77-88.
    2. Subramanian, Gayathri Harihara & Choubey, Nipun & Verma, Ashish, 2022. "Modelling and simulating serpentine group behaviour in crowds using modified social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
    3. Sun, Yutong & Liu, Hong, 2021. "Crowd evacuation simulation method combining the density field and social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    4. Lian, Liping & Song, Weiguo & Richard, Yuen Kwok Kit & Ma, Jian & Telesca, Luciano, 2017. "Long-range dependence and time-clustering behavior in pedestrian movement patterns in stampedes: The Love Parade case-study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 265-274.
    5. Jiang, Yan-Qun & Zhang, Wei & Zhou, Shu-Guang, 2016. "Comparison study of the reactive and predictive dynamic models for pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 51-61.
    6. Liu, Yixue & Mao, Zhanli, 2022. "An experimental study on the critical state of herd behavior in decision-making of the crowd evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    7. Shiwakoti, Nirajan & Sarvi, Majid, 2013. "Understanding pedestrian crowd panic: a review on model organisms approach," Journal of Transport Geography, Elsevier, vol. 26(C), pages 12-17.
    8. Wang, Jiayue & Boltes, Maik & Seyfried, Armin & Zhang, Jun & Ziemer, Verena & Weng, Wenguo, 2018. "Linking pedestrian flow characteristics with stepping locomotion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 106-120.
    9. Ma, Liang & Chen, Bin & Wang, Xiaodong & Zhu, Zhengqiu & Wang, Rongxiao & Qiu, Xiaogang, 2019. "The analysis on the desired speed in social force model using a data driven approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 894-911.
    10. Guo, Ren-Yong, 2014. "Simulation of spatial and temporal separation of pedestrian counter flow through a bottleneck," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 415(C), pages 428-439.
    11. Ziyou Gao & Yunchao Qu & Xingang Li & Jiancheng Long & Hai-Jun Huang, 2014. "Simulating the Dynamic Escape Process in Large Public Places," Operations Research, INFORMS, vol. 62(6), pages 1344-1357, December.
    12. Nanda Wijermans & René Jorna & Wander Jager & Tony van Vliet & Otto Adang, 2013. "CROSS: Modelling Crowd Behaviour with Social-Cognitive Agents," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 16(4), pages 1-1.
    13. Hänseler, Flurin S. & Bierlaire, Michel & Farooq, Bilal & Mühlematter, Thomas, 2014. "A macroscopic loading model for time-varying pedestrian flows in public walking areas," Transportation Research Part B: Methodological, Elsevier, vol. 69(C), pages 60-80.
    14. 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.
    15. Heng Wang & Tiandong Xu & Feng Li, 2021. "A Novel Emergency Evacuation Model of Subway Station Passengers Considering Personality Traits," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
    16. Wang, Lei & Zhang, Qian & Cai, Yun & Zhang, Jianlin & Ma, Qingguo, 2013. "Simulation study of pedestrian flow in a station hall during the Spring Festival travel rush," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(10), pages 2470-2478.
    17. Johansson, Fredrik & Peterson, Anders & Tapani, Andreas, 2015. "Waiting pedestrians in the social force model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 95-107.
    18. Zhao, Yongxiang & Li, Meifang & Lu, Xin & Tian, Lijun & Yu, Zhiyong & Huang, Kai & Wang, Yana & Li, Ting, 2017. "Optimal layout design of obstacles for panic evacuation using differential evolution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 175-194.
    19. Li, Wenhang & Gong, Jianhua & Yu, Ping & Shen, Shen, 2016. "Modeling, simulation and analysis of group trampling risks during escalator transfers," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 970-984.
    20. Liu, Xuan & Song, Weiguo & Zhang, Jun, 2009. "Extraction and quantitative analysis of microscopic evacuation characteristics based on digital image processing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(13), pages 2717-2726.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:65:y:2013:i:3:p:1765-1781. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.