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Influencing Factors on the Usefulness of an Earthquake Early Warning System during the 2017 Mexico City Earthquakes

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  • Jaime Santos-Reyes

    (Grupo de Investigacion SARACS, SEPI–ESIME, Zac., Instituto Politecnico Nacional, Ciudad de Mexico 07738, Mexico)

Abstract

The paper presents the results of an ongoing research project on the performance of the SASMEX system following the two earthquakes that hit Mexico City in 2017, (a) the 7 September, and (b) the 19 September. In an earlier work, some preliminary findings on the perceived usefulness of the system have been reported. The aim of the present study is the identification of the precursors leading to the outcome variable (‘Usefulness of the SASMEX system’). An ordinal logistic regression analysis has been conducted. The influential factors leading to (a) are the following: the 1985 earthquake experience, drills participation, current knowledge, knowledge on what to do, fear during the tremors, education level, earthquake severity impact. The identified influential factors leading to (b) are the following: knowledge vs. drills, fear of building collapsing, and warning time. The main conclusion of the study is that the outcome is warning time dependent following an event. When there is ‘enough time’ to take protective actions, such as in (a), the probability of the system being considered Useful is higher than otherwise. Conversely, if there is not enough warning time, such as in (b), the probability of the system being considered Not useful is higher than otherwise.

Suggested Citation

  • Jaime Santos-Reyes, 2021. "Influencing Factors on the Usefulness of an Earthquake Early Warning System during the 2017 Mexico City Earthquakes," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:20:p:11499-:d:658892
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    References listed on IDEAS

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    1. Bercedis Peterson & Frank E. Harrell, 1990. "Partial Proportional Odds Models for Ordinal Response Variables," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(2), pages 205-217, June.
    2. Richard Williams, 2006. "Generalized ordered logit/partial proportional odds models for ordinal dependent variables," Stata Journal, StataCorp LP, vol. 6(1), pages 58-82, March.
    3. Thomas Jack Huggins & Lili Yang & Jin Zhang & Marion Lara Tan & Raj Prasanna, 2021. "Psychological Effects of Dominant Responses to Early Warning Alerts," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 12(3), pages 1-15, July.
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