TY - JOUR
T1 - Influence of road blockage on tsunami evacuation
T2 - A comparative study of three different coastal cities in Japan
AU - Takabatake, Tomoyuki
AU - Chenxi, Dawn Han
AU - Esteban, Miguel
AU - Shibayama, Tomoya
N1 - Funding Information:
The present study was supported by the Maeda Engineering Foundation, JSPS KAKENHI Grant Number JP19K15104 and JP20KK0107, and Japan Science and Technology Agency (JST) as part of the Belmont Forum Grant Number JPMJBF2005. The present study was also performed as a part of activities of the Research Institute of Sustainable Future Society, Waseda Research Institute for Science and Engineering, Waseda University.
Funding Information:
The present study was supported by the Maeda Engineering Foundation, JSPS KAKENHI Grant Number JP19K15104 and JP20KK0107 , and Japan Science and Technology Agency (JST) as part of the Belmont Forum Grant Number JPMJBF2005. The present study was also performed as a part of activities of the Research Institute of Sustainable Future Society, Waseda Research Institute for Science and Engineering, Waseda University.
Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2022/1
Y1 - 2022/1
N2 - For the case of a near-field tsunami, severe ground shaking prior to the arrival of the first tsunami wave could result in the collapse of many buildings, which could lead to road blockage and hinder evacuation. The present study aims to clarify the influence that seismic damage to the buildings and the debris created will have on the road network, and how this in turn will influence tsunami evacuation and the expected number of casualties. To do so, an agent-based tsunami evacuation simulation model that can consider the changes in evacuation behaviour due to road blockage was developed. The model was then applied to three coastal cities in Japan (Kamakura, Zushi, Fujisawa) by considering a Genroku Kanto Earthquake Tsunami scenario. The simulated results showed that considering the effects of building collapse and associated road blockage significantly increased the expected mortality rates. A correlation analysis also indicated that while mortality rates considering road blockage were strongly correlated with inundation depth, they were also positively correlated with the percentage of collapsed buildings, and blocked roads. This suggests that the inundation depth and the distance to a refuge area/shelter might not be sufficient parameters to determine the likely tsunami risks at a given point in a coastal city in the case of a near-field tsunami, and that the effect of damaged buildings should also be considered.
AB - For the case of a near-field tsunami, severe ground shaking prior to the arrival of the first tsunami wave could result in the collapse of many buildings, which could lead to road blockage and hinder evacuation. The present study aims to clarify the influence that seismic damage to the buildings and the debris created will have on the road network, and how this in turn will influence tsunami evacuation and the expected number of casualties. To do so, an agent-based tsunami evacuation simulation model that can consider the changes in evacuation behaviour due to road blockage was developed. The model was then applied to three coastal cities in Japan (Kamakura, Zushi, Fujisawa) by considering a Genroku Kanto Earthquake Tsunami scenario. The simulated results showed that considering the effects of building collapse and associated road blockage significantly increased the expected mortality rates. A correlation analysis also indicated that while mortality rates considering road blockage were strongly correlated with inundation depth, they were also positively correlated with the percentage of collapsed buildings, and blocked roads. This suggests that the inundation depth and the distance to a refuge area/shelter might not be sufficient parameters to determine the likely tsunami risks at a given point in a coastal city in the case of a near-field tsunami, and that the effect of damaged buildings should also be considered.
KW - Agent-based modelling
KW - Building collapse
KW - Evacuation
KW - Road blockage
KW - Tsunami
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U2 - 10.1016/j.ijdrr.2021.102684
DO - 10.1016/j.ijdrr.2021.102684
M3 - Article
AN - SCOPUS:85121228401
SN - 2212-4209
VL - 68
JO - International Journal of Disaster Risk Reduction
JF - International Journal of Disaster Risk Reduction
M1 - 102684
ER -