Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand

<p>This paper presents a new framework for the seismic loss prediction of residential buildings in Ōtautahi / Christchurch, New Zealand. It employs data science techniques, geospatial tools, and machine learning (ML) trained on insurance claims data from the Earthquake Commission (EQC) collect...

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Bibliographic Details
Main Authors: S. Roeslin, Q. Ma, P. Chigullapally, J. Wicker, L. Wotherspoon
Format: Article
Language:English
Published: Copernicus Publications 2023-03-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://nhess.copernicus.org/articles/23/1207/2023/nhess-23-1207-2023.pdf