Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81477
Title: Thumbnail‐Based Questionnaires for the Rapid and Efficient Collection of Macroseismic Data from Global Earthquakes
Authors: Bossu, Rémy
Landès, Matthieu
Roussel, Fréderic
Steed, Robert
Mazet‐Roux, Gilles
Hough, Susan
Martin, Stacey Servito
Keywords: Macroseismic studies
Thumbnail‐Based Questionnaires
Issue Date: 2016
Source: Bossu, R., Landès, M., Roussel, F., Steed, R., Mazet‐Roux, G., Martin, S. S., et al. (2017). Thumbnail‐Based Questionnaires for the Rapid and Efficient Collection of Macroseismic Data from Global Earthquakes. Seismological Research Letters, 88(1), 72-81.
Series/Report no.: Seismological Research Letters
Abstract: The collection of earthquake testimonies (i.e., qualitative descriptions of felt shaking) is essential for macroseismic studies (i.e., studies gathering information on how strongly an earthquake was felt in different places), and when done rapidly and systematically, improves situational awareness and in turn can contribute to efficient emergency response. In this study, we present advances made in the collection of testimonies following earthquakes around the world using a thumbnail‐based questionnaire implemented on the European‐Mediterranean Seismological Centre (EMSC) smartphone app and its website compatible for mobile devices. In both instances, the questionnaire consists of a selection of thumbnails, each representing an intensity level of the European Macroseismic Scale 1998. We find that testimonies are collected faster, and in larger numbers, by way of thumbnail‐based questionnaires than by more traditional online questionnaires. Responses were received from all seismically active regions of our planet, suggesting that thumbnails overcome language barriers. We also observed that the app is not sufficient on its own, because the websites are the main source of testimonies when an earthquake strikes a region for the first time in a while; it is only for subsequent shocks that the app is widely used. Notably though, the speed of the collection of testimonies increases significantly when the app is used. We find that automated EMSC intensities as assigned by user‐specified thumbnails are, on average, well correlated with “Did You Feel It?” (DYFI) responses and with the three independently and manually derived macroseismic datasets, but there is a tendency for EMSC to be biased low with respect to DYFI at moderate and large intensities. We address this by proposing a simple adjustment that will be verified in future earthquakes.
URI: https://hdl.handle.net/10356/81477
http://hdl.handle.net/10220/43477
ISSN: 0895-0695
DOI: 10.1785/0220160120
Research Centres: Earth Observatory of Singapore 
Rights: © 2016 Seismological Society of America (SSA). This paper was published in Seismological Research Letters and is made available as an electronic reprint (preprint) with permission of Seismological Society of America (SSA). The published version is available at: [http://dx.doi.org/10.1785/0220160120]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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