{"created":"2023-03-31T02:05:21.052890+00:00","id":4860,"links":{},"metadata":{"_buckets":{"deposit":"369bf929-45ed-4499-b947-c0e9a5401fe8"},"_deposit":{"id":"4860","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"4860"},"status":"published"},"_oai":{"id":"oai:nied-repo.bosai.go.jp:00004860","sets":[]},"author_link":[],"item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2013","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"0","bibliographicPageEnd":"274","bibliographicPageStart":"267","bibliographicVolumeNumber":"21","bibliographic_titles":[{"bibliographic_title":"地域安全学会論文集","bibliographic_titleLang":"ja"},{"bibliographic_title":"Journal of Social Safety Science","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"
Damage estimation for scenario earthquakes is conducted by local governments for emergency response planning. However, local governments usually do not possess detailed data of utility pipelines and hence, they generally estimate the distribution of pipeline length. A problem of this approach is that the accuracy of pipeline length estimation is not so high. This study tries to perform the estimation of water-pipeline data for more accurate earthquake damage assessments. The method to estimate the pipeline length is proposed from road network data by using GIS for densely inhabited districts (DIDs). But outside of DIDs, buildings data must be introduced in addition to road network data as parameters to estimate water-pipeline lengths in grid cells.
","subitem_description_language":"ja","subitem_description_type":"Other"},{"subitem_description":"Damage estimation for scenario earthquakes is conducted by local governments for emergency response planning. However, local governments usually do not possess detailed data of utility pipelines and hence, they generally estimate the distribution of pipeline length. A problem of this approach is that the accuracy of pipeline length estimation is not so high. This study tries to perform the estimation of water-pipeline data for more accurate earthquake damage assessments. The method to estimate the pipeline length is proposed from road network data by using GIS for densely inhabited districts (DIDs). But outside of DIDs, buildings data must be introduced in addition to road network data as parameters to estimate water-pipeline lengths in grid cells.
","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"一般社団法人 地域安全学会","subitem_publisher_language":"ja"},{"subitem_publisher":"Institute of Social Safety Science","subitem_publisher_language":"en"}]},"item_10001_relation_14":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"10.11314/jisss.21.267"}}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1345-2088","subitem_source_identifier_type":"ISSN"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"小林 朋美","creatorNameLang":"ja"},{"creatorName":"KOBAYASHI Tomomi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"山崎 文雄","creatorNameLang":"ja"},{"creatorName":"YAMAZAKI Fumio","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"丸山 喜久","creatorNameLang":"ja"},{"creatorName":"MARUYAMA Yoshihisa","creatorNameLang":"en"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_title":"道路網のGISデータに基づく上水道管路の分布推定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"道路網のGISデータに基づく上水道管路の分布推定","subitem_title_language":"ja"},{"subitem_title":"Estimation of Water-Pipeline Length from GIS Road Network Data","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"1","path":["1670839190650"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-03-30"},"publish_date":"2023-03-30","publish_status":"0","recid":"4860","relation_version_is_last":true,"title":["道路網のGISデータに基づく上水道管路の分布推定"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-06-08T06:11:30.454736+00:00"}