{"_buckets": {"deposit": "380ea56c-ce40-49b8-b4a9-d17cf597a1de"}, "_deposit": {"id": "5951", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "5951"}, "status": "published"}, "_oai": {"id": "oai:nied-repo.bosai.go.jp:00005951", "sets": []}, "author_link": [], "item_10001_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2015", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "7", "bibliographicPageEnd": "7_389", "bibliographicPageStart": "7_378", "bibliographicVolumeNumber": "15", "bibliographic_titles": [{"bibliographic_title": "日本地震工学会論文集", "bibliographic_titleLang": "ja"}, {"bibliographic_title": "Journal of Japan Association for Earthquake Engineering", "bibliographic_titleLang": "en"}]}]}, "item_10001_description_5": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "日本では内閣府や自治体で、地震防災対策の１つとして様々な被害予測が行われている。そのうち東京都では、地震による建物倒壊と火災出火・延焼の危険性を評価した地域危険度測定調査が行われ、2013年に第7回調査が公表された。これは地震に脆弱な地域を抽出することで市街地整備や防災意識の向上に役立てられている。しかしこの調査には都独自のデータや算出法が用いられることから、パラメータ変更の際や他地域での同様な危険度算出は容易ではない。そこで本研究では、東京都のデータから建物の震動被害を支配する要因を明らかにするとともに、回帰分析により簡易な推定式を構築して危険量推定を行い、実際の調査との精度比較を行うことで本手法の有用性を検討した。", "subitem_description_language": "ja", "subitem_description_type": "Other"}, {"subitem_description": "Tokyo Metropolitan Government (TMG) conducts a community-based seismic risk assessment for all the city-blocks of Tokyo Metropolis every five years. The 7th seismic risk assessment survey was carried out for two kinds of risk due to earthquakes: building damage due to strong shaking, and fire outbreak and spread. A bedrock motion with the peak ground velocity 30 cm/s was assumed uniformly for all the study areas and site amplification was considered based on topography and subsurface soil type. Building damage was evaluated using empirical vulnerability functions. In this paper, a statistical analysis was conducted for the result of the building damage assessment by the TMG. In the multiple regression analysis, the number of severely damaged buildings per unit area was considered as the dependent variable and several explanation variables were employed, such as the number of buildings for each structural type and construction period, the soil amplification factor. The regression analysis was conducted for all the 5,133 city-blocks of Tokyo Metropolis and an accurate prediction equation was derived.", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "公益社団法人 日本地震工学会", "subitem_publisher_language": "ja"}, {"subitem_publisher": "JAPAN ASSOCIATION FOR EARTHQUAKE ENGINEERING", "subitem_publisher_language": "en"}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "10.5610/jaee.15.7_378"}}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "岩瀬 早綾", "creatorNameLang": "ja"}, {"creatorName": "IWASE Saaya", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "山崎 文雄", "creatorNameLang": "ja"}, {"creatorName": "YAMAZAKI Fumio", "creatorNameLang": "en"}]}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "jpn"}]}, "item_title": "地域危険度測定調査データに基づく建物倒壊危険量の簡易推定", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "地域危険度測定調査データに基づく建物倒壊危険量の簡易推定", "subitem_title_language": "ja"}, {"subitem_title": "Simplified Estimation Method for Building Damage due to Earthquakes", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["1670839190650"], "permalink_uri": "https://nied-repo.bosai.go.jp/records/5951", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2023-03-30"}, "publish_date": "2023-03-30", "publish_status": "0", "recid": "5951", "relation": {}, "relation_version_is_last": true, "title": ["地域危険度測定調査データに基づく建物倒壊危険量の簡易推定"], "weko_shared_id": -1}