Development of Fragility Curves for Story-Collapsed Buildings Based on Mashiki Town's Disaster-Victim Certificate Data Due to the 2016 Kumamoto Earthquake

Use of Multi-Temporal LiDAR Data to Extract Collapsed Buildings and to Monitor Their Removal Process after the 2016 Kumamoto Earthquake

“…However, it was found to be insignificant after some trials, and hence only two parameters, the average and standard deviation of ∆H within the reduced footprint, were used in this study. We expected that only a part of the L4 class would be able to be extracted from the LiDAR data, because significant height changes occur only for part of the L4 damage [45]. Logistic regression [46][47][48][49], which is suitable for representing qualitative (such as the damage level) dependent variables, was introduced in order to model the probability (p = 0.0-1.0) to fall in the major damage level (L4).…”