{"created":"2024-04-30T06:05:39.275490+00:00","id":2000163,"links":{},"metadata":{"_buckets":{"deposit":"9ea2074b-b9c2-4f87-8f5d-92fd48ae03a7"},"_deposit":{"created_by":12,"id":"2000163","owner":"12","owners":[12],"pid":{"revision_id":0,"type":"depid","value":"2000163"},"status":"published"},"_oai":{"id":"oai:meikai.repo.nii.ac.jp:02000163","sets":["159:160:1714455742103"]},"author_link":[],"control_number":"2000163","item_10002_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023-09-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"34","bibliographicPageEnd":"15","bibliographicPageStart":"1","bibliographic_titles":[{"bibliographic_title":"明海大学不動産学部論集","bibliographic_titleLang":"ja"},{"bibliographic_title":"Meikai Studies in Real Estate Science","bibliographic_titleLang":"en"}]}]},"item_10002_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In this study, we conducted predictions regarding the market conditions of the Tokyo office real estate\nmarket using statistical methods. We use time series models such as ARIMA, ARIMAX, and VAR models\nfor predictions with the office price index of the Tokyo metropolitan area. We also use a neural network\nmodel for the predictions to prepare for the AI era. As a result, the time series models indicated a possibility\nof a sideways movement or a decline in office prices for the Tokyo metropolitan area office market in 2023.\nHowever, we predict that the increase phase in office prices in the Chiyoda ward, such as the Tokyo business\ndistrict, will be significantly smaller than previous trends, suggesting a polarization of the office market\nbased on office location. In this study, AI tools like ChatGPT, which are currently receiving attention, were\nused to obtain a prediction of a sideways movement of the Tokyo office market in 2023. Therefore, this study\nshows a lower possibility of a robust upward increase phase than before the COVID-19 pandemic in the\nTokyo office market 2023. Furthermore, this study considers the supplementation of office market forecast\nvalues through AI tools to provide more convincing predictive information, making it meaningful regarding\nusing AI tools.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10002_full_name_3":{"attribute_name":"著者（英）","attribute_value_mlt":[{"names":[{"name":"KIM,Donghwan","nameLang":"en"}]}]},"item_10002_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"不動産学部論集編集委員会","subitem_publisher_language":"ja"}]},"item_10002_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"13429302","subitem_source_identifier_type":"ISSN"}]},"item_10002_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"金,東煥","creatorNameLang":"ja"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-04-30"}],"displaytype":"preview","filename":"不動産学部論集34-2_金先生.pdf","filesize":[{"value":"1.1 MB"}],"format":"application/pdf","licensetype":"license_5","mimetype":"application/pdf","url":{"url":"https://meikai.repo.nii.ac.jp/record/2000163/files/不動産学部論集34-2_金先生.pdf"},"version_id":"9596c79b-0fb3-4240-b34b-b66331ed2b56"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"AI時代における東京オフィス市況の短期予測研究","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"AI時代における東京オフィス市況の短期予測研究","subitem_title_language":"ja"},{"subitem_title":"A Study of Tokyo’s Office Market Short-Term Prediction in the AI Era","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"12","path":["1714455742103"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-04-30"},"publish_date":"2024-04-30","publish_status":"0","recid":"2000163","relation_version_is_last":true,"title":["AI時代における東京オフィス市況の短期予測研究"],"weko_creator_id":"12","weko_shared_id":-1},"updated":"2025-05-10T06:27:02.908916+00:00"}