{"created":"2023-05-15T12:35:59.889936+00:00","id":875,"links":{},"metadata":{"_buckets":{"deposit":"4c85a82a-7d67-488f-8bcd-a10ed56ba562"},"_deposit":{"created_by":2,"id":"875","owners":[2],"pid":{"revision_id":0,"type":"depid","value":"875"},"status":"published"},"_oai":{"id":"oai:kutarr.kochi-tech.ac.jp:00000875","sets":["16:20"]},"author_link":["2351","2350"],"item_5_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"4","bibliographic_titles":[{"bibliographic_title":"Society for Social Management Systems Internet Journal"}]}]},"item_5_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Household water demand prediction model was developed by using input-output table to calculate effects from declared policy. The next important step is water demand and supply analysis with governmental scenarios and pricing policy to control higher water demand with limited water supply in Lower Chao Phraya River Basin. Developed household water demand management model is a powerful tool for policy makers to make decision which policy is suitable with each evaluation standard such as; 1) maximum net benefit with higher price; 2) maximum user’s satisfaction with higher cost from investment and subsidy; and 3) minimize raw water needed to support water demand. By this model, Policy makers can forecast household water demand with effect from changing economic structure and calculate the impacts from declared governmental policy.","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2432-552X","subitem_source_identifier_type":"ISSN"}]},"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":"Suttinon, Pongsak"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Nasu, Seigo"}],"nameIdentifiers":[{}]}]},"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","filename":"SMS08-103.pdf","filesize":[{"value":"151.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"SMS08-103.pdf","url":"https://kutarr.kochi-tech.ac.jp/record/875/files/SMS08-103.pdf"},"version_id":"53bb66f8-58de-4bce-9a2b-51fb36df6be4"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"household water demand prediction model","subitem_subject_scheme":"Other"},{"subitem_subject":"Input-output table","subitem_subject_scheme":"Other"},{"subitem_subject":"pricing policy","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":"Household Water Demand Management Model By Using Input-Output Table with Impacts from Pricing Policy","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Household Water Demand Management Model By Using Input-Output Table with Impacts from Pricing Policy"}]},"item_type_id":"5","owner":"2","path":["20"],"pubdate":{"attribute_name":"公開日","attribute_value":"2018-02-06"},"publish_date":"2018-02-06","publish_status":"0","recid":"875","relation_version_is_last":true,"title":["Household Water Demand Management Model By Using Input-Output Table with Impacts from Pricing Policy"],"weko_creator_id":"2","weko_shared_id":-1},"updated":"2023-05-15T13:23:23.376765+00:00"}