Statistical analysis of building damage from the 2013 super typhoon haiyan and its storm surge in The Philippines

Statistical analysis of building damage from the 2013 super typhoon haiyan and its storm surge in The Philippines

Chaivutitorn, Tanaporn (National Taiwan University of Science and Technology)
Tanasakcharoen, Thawalrat (Chulalongkorn University)
Leelawat, Natt (Chulalongkorn University)
Tang, Jing (Chulalongkorn University)
Caro, Carl Vincent C. (Viosimos Integrated Planning Consultants Inc)
Lagmay, Alfredo Mahar Francisco A. (University of the Philippines Diliman)
Suppasri, Anawat (Tohoku University)
Bricker, J.D. (TU Delft Hydraulic Structures and Flood Risk)
Roeber, Volker (Université de Pau et des Pays de l'Adour)
Yi, Carine J. (R. Park & Associates Inc)
Imamura, Fumihiko (Tohoku University)

2020

In November 2013, Super Typhoon Haiyan (Yolanda) hit the Philippines. It caused heavy loss of lives and extensive damages to buildings and infrastructure. When collapsed buildings are focused on, it is inter-esting to find that these buildings did not collapse for the same reasons after the landfall of the typhoon and storm surge. The objective of this study is to develop a statistical model for building damage due to Super Typhoon Haiyan and its storm surge. The data were collected in collaboration with Tanauan Municipality, the Philippines. The data for the inundation map were ob-tained by field surveys conducted on-site to determine the cause of the damages inferred from satellite data. The maximum wind speed was derived from the Hol-land parametric hurricane model based on the Japan Meteorological Agency (JMA) typhoon track data and the inundation depth of storm surge was calculated using the MIKE model. Multinomial logistic regression was used to develop a model to identify the significant factors influencing the damage to buildings. The result of this work is expected to be used to prepare urban plans for preventing damage from future storms.

Building damage
Statistical analysis
Storm surge
Super Typhoon Haiyan

http://resolver.tudelft.nl/uuid:026aa4a9-898a-476c-8dfb-276f90a093b3

https://doi.org/10.20965/jdr.2020.p0822

1881-2473

Journal of Disaster Research, 15 (7), 822-832

Institutional Repository

journal article

© 2020 Tanaporn Chaivutitorn, Thawalrat Tanasakcharoen, Natt Leelawat, Jing Tang, Carl Vincent C. Caro, Alfredo Mahar Francisco A. Lagmay, Anawat Suppasri, J.D. Bricker, Volker Roeber, Carine J. Yi, Fumihiko Imamura