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http://dx.doi.org/10.7780/kjrs.2021.37.3.23

A Cross-Validation of SeismicVulnerability Assessment Model: Application to Earthquake of 9.12 Gyeongju and 2017 Pohang  

Han, Jihye (National Disaster Management Research Institute, MOIS)
Kim, Jinsoo (Department of Spatial Information Engineering, Pukyong National University)
Publication Information
Korean Journal of Remote Sensing / v.37, no.3, 2021 , pp. 649-655 More about this Journal
Abstract
This study purposes to cross-validate its performance by applying the optimal seismic vulnerability assessment model based on previous studies conducted in Gyeongju to other regions. The test area was Pohang City, the occurrence site for the 2017 Pohang Earthquake, and the dataset was built the same influencing factors and earthquake-damaged buildings as in the previous studies. The validation dataset was built via random sampling, and the prediction accuracy was derived by applying it to a model based on a random forest (RF) of Gyeongju. The accuracy of the model success and prediction in Gyeongju was 100% and 94.9%, respectively, and as a result of confirming the prediction accuracy by applying the Pohang validation dataset, it appeared as 70.4%.
Keywords
Seismic vulnerability; Random forest; Cross-validation; Gyeongju Earthquake; Pohang Earthquake;
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  • Reference
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