{"_buckets": {"deposit": "37b29aa3-756d-465b-934e-134bbef028d1"}, "_deposit": {"created_by": 2, "id": "1177", "owners": [2], "pid": {"revision_id": 0, "type": "depid", "value": "1177"}, "status": "published"}, "_oai": {"id": "oai:kutarr.kochi-tech.ac.jp:00001177", "sets": ["24"]}, "author_link": ["3141", "3142", "3140"], "item_5_biblio_info_7": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2012-05", "bibliographicIssueDateType": "Issued"}, "bibliographicVolumeNumber": "8", "bibliographic_titles": [{"bibliographic_title": "Society for Social Management Systems Internet Journal"}]}]}, "item_5_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "This study introduces a method to identify nursing homes and disabled’s institutions with flood or landslide risks, as an alternative to the conventionally use of risk potential maps. The method proposed in this study combines the results of risk potential maps and survey that asks for disaster experiences and environmental risk elements. This study argues that using risk potential maps alone is insufficient because there are usually gaps between assumptions of risk potential models and real situations, e.g., inundation potential models assume that embankments would not break, which are usually not the case. In this study, an institution with highest flood risk is defined as possibly being flooded when 24-hour accumulated rainfall reaches 300 or 350 mm according to the risk potential map, or when an institution experienced flood in the recent ten years. An institution having a second highest level of flood risk is defined as not in the group with the highest level risk and possibly being flooded when 24-hour accumulated rainfall is more than 600mm, or when being located next to rivers, embankments, etc. An institution with the highest landslide risk means that it is in the debris flow potential area, or it has landslide related experiences in the past ten years. An institution with the 2nd highest land slide risk means that it is not in the group with highest risk, but has some environmental risk elements (e.g., near a cracked retaining wall). Department of Social Affairs helped this study to distribute the survey to all 1,057 nursing homes and 285 disabled’s institutions in Taiwan. The response rate is 93%. The results show that 23% of the nursing homes and 30% of the disabled’s institutions have the highest flood risk; 26% of the nursing homes and 34% of the disabled’s institutions have the 2nd highest flood risk; 1% of the nursing homes and less than 1% of disabled’s institutions have the highest landslide risk; 6% of the nursing homes and 15% of the disabled’s institutions have the 2nd highest land slide risk. The researchers of this study are currently cooperating with Department of Social Affairs, using the results of the study to design mechanisms and tools for typhoon risk management of welfare institutions in Taiwan.", "subitem_description_type": "Abstract"}]}, "item_5_publisher_36": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "Society for Social Management Systems"}]}, "item_5_version_type_19": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Lee, Hsiang-Chieh"}], "nameIdentifiers": [{"nameIdentifier": "3140", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Yang, Hui-Hsuan"}], "nameIdentifiers": [{"nameIdentifier": "3141", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Chuang, Ming-Jen"}], "nameIdentifiers": [{"nameIdentifier": "3142", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2019-02-13"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "sms12-4671.pdf", "filesize": [{"value": "341.5 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 341500.0, "url": {"label": "sms12-4671.pdf", "url": "https://kutarr.kochi-tech.ac.jp/record/1177/files/sms12-4671.pdf"}, "version_id": "a1714bc7-7d11-4ae6-8ec1-340178e72fb7"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "disaster risk", "subitem_subject_scheme": "Other"}, {"subitem_subject": "nursing home", "subitem_subject_scheme": "Other"}, {"subitem_subject": "disabled\u0027s institution", "subitem_subject_scheme": "Other"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "conference paper", "resourceuri": "http://purl.org/coar/resource_type/c_5794"}]}, "item_title": "DEVELOP A METHOD TO IDENTIFY WELFARE INSTITUTIONS WITH FLOOD OR LANDSLIDE RISKS IN TAIWAN", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "DEVELOP A METHOD TO IDENTIFY WELFARE INSTITUTIONS WITH FLOOD OR LANDSLIDE RISKS IN TAIWAN"}]}, "item_type_id": "5", "owner": "2", "path": ["24"], "permalink_uri": "http://hdl.handle.net/10173/1020", "pubdate": {"attribute_name": "公開日", "attribute_value": "2013-10-25"}, "publish_date": "2013-10-25", "publish_status": "0", "recid": "1177", "relation": {}, "relation_version_is_last": true, "title": ["DEVELOP A METHOD TO IDENTIFY WELFARE INSTITUTIONS WITH FLOOD OR LANDSLIDE RISKS IN TAIWAN"], "weko_shared_id": -1}