Regional Disaster Prevention Countermeasures Considering Inhabitants' Risk Acceptance of Tsunami
スポンサーリンク
概要
- 論文の詳細を見る
Prediction of tsunami inundation area was announced in Hokkaido on June 28th, 2012. Local governments reconsider tsunami prevention. Countermeasures of tsunami prevention are divided by non-structural measures including tsunami hazard map and structural measures including seawall. However, the priority of order is not clear among those countermeasures. The governments cannot decide a policy of tsunami prevention in the future. For this reason, the aim of this study is to propose the suitable countermeasure according to the needs of the people by applying prospect theory. As a result of questionnaire survey in Kushiro city, when non-structural measures and structural measures are improved, non-structural measures are more important than structural measures. Meanwhile, when non-structural measures and structural measures are nothing, these measures don't have difference. That is, the countermeasures which inhabitants want to improve are non-structural measures. However, structural measures should be satisfied with the minimal role for inhabitants.
著者
-
ITO Kana
Graduate School of Electronic Science and Technology, Shizuoka University
-
Nakatsuji Takashi
Faculty of Engineering, Hokkaido University
-
Nakatsuji Takashi
Faculty Of Engineering Hokkaido University
-
KISHI Kunihiro
Faculty of Engineering Hokkaido University
関連論文
- A Range-Shift Technique for TOF Range Image Sensors
- W-06 Our Challenge-International Undergraduate Program for Civil Engineering at Hokkaido University(International Session)
- Analytical Verification of the Link between Reduced Bus Service and Land Value Depreciation
- Regional Disaster Prevention Countermeasures Considering Inhabitants' Risk Acceptance of Tsunami
- Evaluation of bus route efficiency by network DEA including social priority
- Evaluation of Community Cafe's Utility for Public Transportation Use in a Local Community in Japan
- Construction of Method for Comprehensive Priority Assessment of Road Maintenance Sections Using Network DEA