Advanced casualty estimation based on tsunami evacuation intended behavior: case study at Yuigahama Beach, Kamakura, Japan

Takabatake, Tomoyuki; Shibayama, Tomoya; Esteban, Miguel; Ishii, Hidenori

doi:10.1007/s11069-018-3277-0

Cited by 41 publications

(10 citation statements)

References 28 publications

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“…This difference in intended behavior should be further examined to identify the underlying factors that influence community evacuation. Existing agent-based evacuation simulations [18,19,52] could be a good tool to simulate community behavior based on different scenarios and conditions.…”

Section: Discussionmentioning

confidence: 99%

“…However, it is not clear whether these recent events have resulted in a lowering of tsunami awareness amongst local residents, and whether the reconstruction patterns and adaptation measures implemented after the floods have resulted in a lower preparedness against a tsunami. Awareness about natural hazards is of paramount importance to ensure a successful evacuation, and a lack of it can lead to increased number of casualties [14][15][16][17][18][19]. In order to ascertain the level of community awareness about such issues, the authors set out to conduct community mapping exercises amongst local residents in the municipality.…”

Section: Introductionmentioning

confidence: 99%

“…Community mapping, an ethnographic tool inside human-centered design (HCD), is an interactive tool that has been developed in order to integrate the traditional knowledge and ideas of the people living within a community into the planning and development of an academic or business project [20,21]. This methodology allows a local community to describe the numerous characteristics of an area (such as risk-prone or polluted areas) through vocal and visual representations that facilitate the understanding of the socio-environmental conditions of the settlement [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

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Understanding Community-Level Flooding Awareness in Remote Coastal Towns in Northern Chile through Community Mapping

et al. 2019

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In 2015 and 2017 unusual ocean and atmospheric conditions produced many years’ worth of rainfall in short periods over Northern Chile’s Atacama Desert, resulting in catastrophic flooding in the town of Chañaral. However, the town is not only at risk of fluvial flooding, it is also at risk of tsunamis. Through a community mapping exercise, the authors attempted to establish the level of community awareness about tsunamis, and contrasted it with that of other types of water-related hazards facing the town (namely that of flooding due to high intensity rain). This was then compared with the results of field surveys and tsunami hazard simulations, indicating than overall the community appears to have better awareness than authorities about the threat posed by these types of events. The authors thus concluded that in cases when the community has a high level of hazard awareness (which in the case of Chile was the result of traditional knowledge being transmitted from previous generations) it would be advantageous to include them in discussions on how to improve disaster resilience.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding Community-Level Flooding Awareness in Remote Coastal Towns in Northern Chile through Community Mapping

et al. 2019

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“…From the study, it is clearly important for local governments in PRE to develop an evacuation plan based on findings in this study, especially in Zhuhai and Shenzhen cities. It is also important to communicate with local citizens and spread such a kind of plans to improve residents awareness about their location and inundation potential and depth, and routes to safe places for better decision making to save people's lives [32,33]. Additionally, Developing a mobile application for tsunami evacuation undoubtedly is helpful for people under risk by feeding them with information about inundation areas and depth under different tsunami risks [34].…”

Section: Discussionmentioning

confidence: 99%

“…As many researchers suggested before, it is difficult to evaluate tsunami evacuation models [32,35], due to the difficulty to predict the exact tsunami wave height, penetration of water into land, and dynamics of people. Primarily, there were no previous incidents in the study area to relay on for model validation.…”

Section: Discussionmentioning

confidence: 99%

Evacuation Priority Method in Tsunami Hazard Based on DMSP/OLS Population Mapping in the Pearl River Estuary, China

Mohamadi

Chen

Liu

2019

IJGI

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Evacuation plans are critical in case of natural disaster to save people’s lives. The priority of population evacuation on coastal areas could be useful to reduce the death toll in case of tsunami hazard. In this study, the population density remote sensing mapping approach was developed using population records in 2013 and Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) night-time light (NTL) image of the same year for defining the coastal densest resident areas in Pearl River Estuary (PRE), China. Two pixel-based saturation correction methods were evaluated for application of population density mapping to enhance DMSP/OLS NTL image. The Vegetation Adjusted NTL Urban Index (VANUI) correction method (R2 (original/corrected): 0.504, Std. error: 0.0069) was found to be the better-fit correction method of NTL image saturation for the study area compared to Human Settlement Index (HSI) correction method (R2 (original/corrected): 0.219, Std. error: 0.1676). The study also gained a better dynamic range of HSI correction (0~25 vs. 0.1~5.07) compared to the previous one [27]. The town-level’s population NTL simulation model is built (R2 = 0.43, N = 47) for the first time in PRE with mean relative error (MSE) of 32% (N = 24, town level), On the other side, the tsunami hazard map was produced based on numerical modeling of potential tsunami wave height and velocity, combining with the river net system, elevation, slope, and vegetation cover factors. Both results were combined to produce an evacuation map in PRE. The simulation of tsunami exposure on density of population showed that the highest evacuation priority was found to be in most of Zhuhai city area and the coastal area of Shenzhen City under wave height of nine meters, while lowest evacuation priority was defined in Panyu and Nansha Districts of Guangzhou City, eastern and western parts of Zhongshan City, and northeast and northwest parts of Dongguan City. The method of tsunami risk simulation and the result of mapped tsunami exposure are of significance for direction to tsunami disaster-risk reduction or evacuation traffic arrangement in PRE or other coastal areas in the world.

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Demand Estimation for Humanitarian Aid Due to Earthquakes in Lima’s Cliff Area Using Simulation

Raymundo

Flórez²,

Cornejo-Sanchez³

2022

Springer Proceedings in Mathematics &Amp; Statistics

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Advanced casualty estimation based on tsunami evacuation intended behavior: case study at Yuigahama Beach, Kamakura, Japan

Cited by 41 publications

References 28 publications

Understanding Community-Level Flooding Awareness in Remote Coastal Towns in Northern Chile through Community Mapping

Understanding Community-Level Flooding Awareness in Remote Coastal Towns in Northern Chile through Community Mapping

Evacuation Priority Method in Tsunami Hazard Based on DMSP/OLS Population Mapping in the Pearl River Estuary, China

Demand Estimation for Humanitarian Aid Due to Earthquakes in Lima’s Cliff Area Using Simulation

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