{"created":"2023-07-27T06:53:12.123056+00:00","id":47562,"links":{},"metadata":{"_buckets":{"deposit":"a03aaa4f-d13e-4cf7-9086-cc75e94ea23e"},"_deposit":{"created_by":18,"id":"47562","owners":[18],"pid":{"revision_id":0,"type":"depid","value":"47562"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00047562","sets":["934:935:936"]},"author_link":["84863","84866","84868","84484","84859","84865"],"item_4_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2019-03","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"59","bibliographicPageStart":"48","bibliographicVolumeNumber":"21","bibliographic_titles":[{"bibliographic_title":"運輸政策研究"},{"bibliographic_title":"Transport policy studies' review","bibliographic_titleLang":"en"}]}]},"item_4_creator_33":{"attribute_name":"著者別表示","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Suzuki, Akira"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yamaguchi, Hiromichi"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Fukuda, Daisuke"}],"nameIdentifiers":[{}]}]},"item_4_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"In recent years, aggregate mobile phone data such as Mobile Spatial Statistics (MSS) has been increasingly applied for transport data collections. Though MSS enables to obtain the data of various days and seasons easily, it does not contain passengers ‘qualitative information’ such as trip-purposes. Thus we propose a novel data-fusion methodology of Inter-Regional Travel Survey (IRTS) and MSS to estimate inter-regional passenger flow by different trip purposes for multiple days and seasons. We found that: (1) the predicted annual passenger demand by each trip purpose is similar with the predicted one from another statistics; (2) the predicted daily passenger demand is reasonable for some origin prefectures with large cities; but, (3) the predicted daily passenger demand seems to be unreasonable for some origin prefectures in rural areas.","subitem_description_type":"Abstract"},{"subitem_description":"近年活用事例が増えつつある集計携帯電話基地局情報等のビッグデータは,都市・地域間の旅客流動を年間を通じて容易に把握できる新たなデータソースとして期待されている.しかし,こうしたデータだけでは,アンケート調査のように旅行者の質的情報(e.g. 旅行目的等)を把握することは難しい.本研究では,相互補完関係にあるこれら2つのデータ(ビッグデータとアンケートデータ)を融合して,多時点に渡る日別・旅行目的別の都市間旅客流動量を推計する手法を提案した.モバイル空間統計と全国幹線旅客純流動調査に対して提案手法を適用し,推計結果の解釈,別の統計調査から得られた流動量との比較,モデルの残差分析等を行ったところ,次のような主要な知見が得られた:(1)年間での旅行目的構成比は,別統計調査の結果に概ね合致する,(2)日単位での旅行目的別流動量に関しては,幹線調査のサンプル数が少ない地方発の都市間流動において不自然な推計結果が生じやすい.","subitem_description_type":"Abstract"}]},"item_4_description_22":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Embargo Period 12 months","subitem_description_type":"Other"}]},"item_4_description_5":{"attribute_name":"提供者所属","attribute_value_mlt":[{"subitem_description":"金沢大学理工研究域地球社会基盤学系","subitem_description_type":"Other"}]},"item_4_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.24517/00053886","subitem_identifier_reg_type":"JaLC"}]},"item_4_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"運輸総合研究所 = Japan Transport and Tourism Research Institute"}]},"item_4_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.24639/tpsr.TPSR_21R_07","subitem_relation_type_select":"DOI"}}]},"item_4_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"http://www.jterc.or.jp/"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.jterc.or.jp/","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"http://www.jterc.or.jp/journal/index.html"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://www.jterc.or.jp/journal/index.html","subitem_relation_type_select":"URI"}},{"subitem_relation_name":[{"subitem_relation_name_text":"https://www.jstage.jst.go.jp/browse/tpsr/-char/ja"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.jstage.jst.go.jp/browse/tpsr/-char/ja","subitem_relation_type_select":"URI"}}]},"item_4_rights_23":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"copyright © 運輸総合研究所 Japan Transport and Tourism Research Institute"}]},"item_4_source_id_11":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AA11287548","subitem_source_identifier_type":"NCID"}]},"item_4_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1344-3348","subitem_source_identifier_type":"ISSN"}]},"item_4_version_type_25":{"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_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"鈴木, 新"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山口, 裕通"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"福田, 大輔"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2020-04-01"}],"displaytype":"detail","filename":"TE-PR-YAMAGUCHI-H-48.pdf","filesize":[{"value":"1.1 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"TE-PR-YAMAGUCHI-H-48.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/47562/files/TE-PR-YAMAGUCHI-H-48.pdf"},"version_id":"0bb5bed2-7fe1-4a6d-9f92-9a9d93bf3095"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"データ融合による日別・旅行目的別都市間旅客流動量推計","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"データ融合による日別・旅行目的別都市間旅客流動量推計"},{"subitem_title":"Data-Fusion Approach for Estimating Inter-Regional Passenger Flow for Multiple Days across Different Trip Purposes","subitem_title_language":"en"}]},"item_type_id":"4","owner":"18","path":["936"],"pubdate":{"attribute_name":"公開日","attribute_value":"2019-05-16"},"publish_date":"2019-05-16","publish_status":"0","recid":"47562","relation_version_is_last":true,"title":["データ融合による日別・旅行目的別都市間旅客流動量推計"],"weko_creator_id":"18","weko_shared_id":-1},"updated":"2023-07-27T16:30:55.313477+00:00"}