@article{c3fee03a526844149cb0a24d8a7ee3c9,
title = "Statistical analysis of earthquake debris extent from wood-frame buildings and its use in road networks in japan",
abstract = "Debris scattering is one of the main causes of road/street blockage after earthquakes in dense urban areas. Therefore, the evaluation of debris scattering is crucial for decision makers and for producing an effective emergency response. In this vein, this article presents the following: (1) statistical data concerning the debris extent of collapsed buildings caused by the 2016 Mw 7.0 Kumamoto earthquake in Japan; (2) an investigation of the factors influencing the extent of debris; (3) probability functions for the debris extent; and (4) applications in the evaluation of road networks. To accomplish these tasks, LiDAR data and aerial photos acquired before and after the mainshock (16 April 2016) were used. This valuable dataset gives us the opportunity to accurately quantify the relationship between the debris extent and the geometrical properties of buildings.",
keywords = "Debris, LiDAR, Road networks, The 2016 Kumamoto earthquake",
author = "Luis Moya and Erick Mas and Fumio Yamazaki and M. Eeri and Wen Liu and Shunichi Koshimura",
note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/ or publication of this article: This research was supported by the Japan Science and Technology Agency (JST) through the SICORP project ??Increasing Urban Resilience to Large Scale Disaster: The Development of a Dynamic Integrated Model for Disaster Management and Socio-Economic Analysis (DIM2SEA)?? (no. J150002645) and the CREST project no. (JP-MJCR1411), and the Japan Society for the Promotion of Science (JSPS) Kakenhi (17H06108). The authors thank the Core Research Cluster of Disaster Science at Tohoku University (a designated national university) for their support. Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research was supported by the Japan Science and Technology Agency (JST) through the SICORP project “Increasing Urban Resilience to Large Scale Disaster: The Development of a Dynamic Integrated Model for Disaster Management and Socio-Economic Analysis (DIM2SEA)” (no. J150002645) and the CREST project no. (JP-MJCR1411), and the Japan Society for the Promotion of Science (JSPS) Kakenhi (17H06108). The authors thank the Core Research Cluster of Disaster Science at Tohoku University (a designated national university) for their support. Publisher Copyright: {\textcopyright} The Author(s) 2020.",
year = "2020",
month = feb,
doi = "10.1177/8755293019892423",
language = "English",
volume = "36",
pages = "209--231",
journal = "Earthquake Spectra",
issn = "8755-2930",
publisher = "Earthquake Engineering Research Institute",
number = "1",
}