{"created":"2023-07-27T06:42:29.476336+00:00","id":32047,"links":{},"metadata":{"_buckets":{"deposit":"550a0fa9-e953-4040-9af4-cba37a93bd8a"},"_deposit":{"created_by":3,"id":"32047","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"32047"},"status":"published"},"_oai":{"id":"oai:kanazawa-u.repo.nii.ac.jp:00032047","sets":["4288:4297:2491:2492"]},"author_link":["53886","53888","53887"],"item_4_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2017-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"115","bibliographicPageStart":"100","bibliographicVolumeNumber":"5","bibliographic_titles":[{"bibliographic_title":"International Review for Spatial Planning and Sustainable Development"}]}]},"item_4_description_21":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Unlike the data from traditional sources, there have not been standard ways to validate the quality and reliability of information derived from big data. This article argues that the theory of urban formation can be used to do the validation. In addition, the information derived from big data can be used to verify and even extend existing theories or hypotheses of urban formation. It proposes a general framework regarding how the theory of urban formation can be employed to validate information derived from smart card data and how the validated information can supplement other data to reveal spatial patterns of economic agglomeration or human settlements. Through a case study of Beijing, it demonstrates the usefulness of the framework. Additionally, it utilizes smart card data to delineate characteristics of subcenters defined by bus commuters of Beijing.","subitem_description_type":"Abstract"}]},"item_4_publisher_17":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"SPSD Press"}]},"item_4_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"10.14246/irspsd.5.3_100","subitem_relation_type_select":"DOI"}}]},"item_4_relation_28":{"attribute_name":"関連URI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.jstage.jst.go.jp/browse/irspsd","subitem_relation_type_select":"URI"}}]},"item_4_rights_23":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"SPSD Press"}]},"item_4_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2187-3666","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_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Jiangping, Zhou"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Mingshu, Wang"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Ying, Long"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-10-05"}],"displaytype":"detail","filename":"IRSPSD5-3_100-115.pdf","filesize":[{"value":"657.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IRSPSD5-3_100-115.pdf","url":"https://kanazawa-u.repo.nii.ac.jp/record/32047/files/IRSPSD5-3_100-115.pdf"},"version_id":"5c7bedf2-7826-40ce-b63e-856f12c3baad"}]},"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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Big data for intrametropolitan human movement studies : A case study of bus commuters based on smart card data","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Big data for intrametropolitan human movement studies : A case study of bus commuters based on smart card data"}]},"item_type_id":"4","owner":"3","path":["2492"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-10-05"},"publish_date":"2017-10-05","publish_status":"0","recid":"32047","relation_version_is_last":true,"title":["Big data for intrametropolitan human movement studies : A case study of bus commuters based on smart card data"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-07-27T19:51:54.300461+00:00"}