RISK FACTOR ANALYSIS AND EVALUATION OF NATURAL DISASTERS: APPLICATION OF THE <i>RIFAE</i> FRAMEWORK TO THE 2000 TOKAIFLOOD DISASTER IN JAPAN

Zhai, Guofang; Sato, Teruko; Seo, Kami; Fukuzono, Teruki; Ikeda, Saburo

doi:10.1142/9789812777102_0026

Cited by 4 publications

(2 citation statements)

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“…A survey of risks associated with damage after a major flood event in Japan in 2000 found that major property risk factors included household characteristics such as the type of dwelling, ownership, and inundation extents. ( 20 ) A second study of this flood found that previous experience with flooding does not necessarily bolster awareness and preparedness for future floods, homeowners and renters prepare for floods differently, and preparedness for floods is determined by perceived fear of floods and damage exposure. ( 21 ) An extensive evaluation of flood warning systems and awareness in Colorado concluded that there is a low level of public knowledge of basic flash flood information that varies by demographic group, awareness of flood risk to property is greater than risk to life, and respondents would rather be overwarned than underwarned.…”

Section: Introductionmentioning

confidence: 99%

Flash Flood Awareness in Southwest Virginia

Knocke¹,

Kolivras²

2007

Risk Analysis

102

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Flash floods are one of the most dangerous weather-related natural disasters in the world. These events develop less than six hours after a rainfall event and create hazardous situations for people and extensive damage to property. It is critical for flash flood conditions to be warned of in a timely manner to minimize impacts. There is currently a knowledge gap between flood experts and the general public about the level of perceived risk that the latter has toward the powerful flood waters and how events should be warned of, which affects the communication capabilities and efficiency of the warning process. Prior research has addressed risk perception of natural disasters, but there is little emphasis on flash floods within flood-prone regions of the United States. This research utilizes an online survey of 300 respondents to determine the current state of flash flood awareness and preparation in southwest Virginia. Analysis of trends involved the use of chi-squared tests (chi2) and simple frequency and percentage calculations. Results reveal that a knowledge base of flash floods does exist, but is not advanced enough for proper awareness. Young adults have a lower understanding and are not as concerned about flood impacts. Increased exposure and perceived risk play a key role in shaping the way a person approaches flash floods. People do monitor flood events, but they are unaware of essential guidance and communication mechanisms. Finally, results suggest that the current method of warning about flash floods is not provided at an appropriate level of detail for effective communication.

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Section: Introductionmentioning

confidence: 99%

Flash Flood Awareness in Southwest Virginia

Knocke¹,

Kolivras²

2007

Risk Analysis

102

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“…If a logistical model is applied to describe the probability of a fatal flood event with at least one death (Zhai et al, 2002), the following Equation (6) is obtained according to the goodness of fit. The Nagelkerke R 2 is 0.419, and the correct classification rate is 93 percent, according to the classification value 0.5.…”

Section: Data Distributionmentioning

confidence: 99%

An Empirical Model of Fatalities and Injuries Due to Floods in Japan

Zhai¹,

Fukuzono²,

Ikeda³

2006

J Am Water Resources Assoc

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: This paper provides a framework for analyzing flood fatalities and injuries, and it describes the derivation of a generalized flood risk (i.e., flood consequences and their probabilities) function by introducing an integrated index (the number of residential buildings affected by a flood) that represents the major change in the power relation among the flood intensity, regional vulnerability, and resilience. Both the probabilities and the numbers of fatalities and injuries clearly increase significantly after the flood severity (in terms of the number of inundated buildings) passes a branch point. Below the branch point, it is still possible for fatalities and injuries to occur because of the variability in the data and the uncertainty in the predicted fatality values. The empirical models of fatalities and injuries due to floods in Japan suggested the usefulness in predicting fatalities and injuries and evaluating the efficacy of the warning or other emergency response measures.

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The changing social vulnerability in Shanghai during 2000–2020 and its implications for risk management

Huang,

Li,

et al. 2024

International Journal of Disaster Risk Reduction

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RISK FACTOR ANALYSIS AND EVALUATION OF NATURAL DISASTERS: APPLICATION OF THE RIFAE FRAMEWORK TO THE 2000 TOKAIFLOOD DISASTER IN JAPAN

Cited by 4 publications

References 0 publications

Flash Flood Awareness in Southwest Virginia

Flash Flood Awareness in Southwest Virginia

An Empirical Model of Fatalities and Injuries Due to Floods in Japan

The changing social vulnerability in Shanghai during 2000–2020 and its implications for risk management

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