{"updated":"2025-01-21T23:28:00.579673+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00070392","sets":["1164:2735:6033:6169"]},"path":["6169"],"owner":"10","recid":"70392","title":["不動産バリュエーション・マップ"],"pubdate":{"attribute_name":"公開日","attribute_value":"2010-09-21"},"_buckets":{"deposit":"f5f95dbb-f475-4c15-b555-7894dfcd5e6a"},"_deposit":{"id":"70392","pid":{"type":"depid","value":"70392","revision_id":0},"owners":[10],"status":"published","created_by":10},"item_title":"不動産バリュエーション・マップ","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"不動産バリュエーション・マップ"},{"subitem_title":"Real Estate Valuation Maps","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2010-09-21","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"中央大学大学院国際会計研究科"},{"subitem_text_value":"京都大学大学院エネルギー科学研究科"},{"subitem_text_value":"株式会社野村総合研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Graduate School of International Accounting, Chuo University.","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of Energy Science, Kyoto University.","subitem_text_language":"en"},{"subitem_text_value":"Nomura Research Institute, Ltd.","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/70392/files/IPSJ-MPS10080001.pdf"},"date":[{"dateType":"Available","dateValue":"2012-09-21"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MPS10080001.pdf","filesize":[{"value":"2.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"17"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"cdbce8b0-5ff3-4fee-b213-9d8eb444074d","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2010 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"石島, 博"},{"creatorName":"前田, 章"},{"creatorName":"谷山, 智彦"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hiroshi, Ishijima","creatorNameLang":"en"},{"creatorName":"Akira, Maeda","creatorNameLang":"en"},{"creatorName":"Tomohiko, Taniyama","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10505667","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本論文では, 不動産が立地する，Google Earth(GE) などの地球儀・地図上の座標にピンを打ち，金融工学の理論に基づいて評価した不動産の価格とリスクを表示させるシステム 「不動産バリュエーション・マップ」 を提案する. 本システムは，金融工学を地理情報システム （GIS; Geographic Information System） 上に，融合・展開する新しいモデルである．不動産は，個人や企業等にとって最も大きな資産であるにも関わらず，株式などの金融資産とは異なり，その売買の意思決定において，手軽に利用・活用できるデータや分析ツールが圧倒的に少ない．このような状況に 1 つの解決策を提案すべく，クラウド時代の Web 上のデータや GE などの高度な地球儀・地図アプリケーションを効果的に用いることにより，不動産バリュエーション・マップを構築する．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"This paper presents a system called “Real Estate Valuation Maps” which displays prices and risks of target real estate by clicking the pin at which it is located on the globes or maps such as Google Earth (GE). These prices and risks are rigorously evaluated based on the financial theory which are previously developed by authors. Hence this system can be regarded as a new Geographic Information System in the sense that financial engineering techniques are driven on it. Although real estate is no doubt the largest asset for individuals and firms, there are few data or tools available when they make a decision to buy or sell real estate. The situation is quite different from the one concerning financial assets such as stocks. Hence we are to present the system in the era of cloud computing which effectively uses data on the Web and well-developed globe or map applications such as GE.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"13","bibliographic_titles":[{"bibliographic_title":"研究報告数理モデル化と問題解決（MPS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2010-09-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2010-MPS-80"}]},"relation_version_is_last":true,"weko_creator_id":"10"},"created":"2025-01-18T23:29:37.209296+00:00","id":70392,"links":{}}