{"_buckets": {"deposit": "545d761d-e342-45e8-b1ff-ef0e13fb0c56"}, "_deposit": {"created_by": 17, "id": "2003776", "owner": "17", "owners": [17], "owners_ext": {"displayname": "repository", "username": "repository"}, "pid": {"revision_id": 0, "type": "depid", "value": "2003776"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:02003776", "sets": ["675"]}, "author_link": [], "item_1615768549627": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_ab4af688f83e57aa", "subitem_version_type": "AM"}]}, "item_9_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2022-05", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "5", "bibliographicPageEnd": "4256", "bibliographicPageStart": "4247", "bibliographicVolumeNumber": "23", "bibliographic_titles": [{"bibliographic_title": "IEEE Transactions on Intelligent Transportation Systems", "bibliographic_titleLang": "en"}]}]}, "item_9_description_4": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "A better understanding of travel pattern variability is important for public transport (PT) authorities to improve passenger experience and service provision. Although many studies have examined the travel pattern variability of PT users, these studies are often limited to a short analysis period or to only one dimension of travel behavior. In addition, there is limited knowledge of how the demographic characteristics of PT users are associated with their travel pattern variability. To address these limitations, we develop a novel measure that simultaneously considers multiple dimensions of travel behavior to quantify the intrapersonal variability in weekly PT usage. Moreover, we examine interpersonal variability by identifying clusters of users who share similar weekly profiles. Based on smart card transaction data for 52 weeks and an anonymous cardholder database (including age and gender) from Shizuoka, Japan, we analyze the intrapersonal and interpersonal variability in weekly PT usage as well as the role of gender and age in travel pattern variability. The results indicate that gender and age play an important role in the travel pattern variability of PT users. Female users exhibit higher intrapersonal variability than their male counterparts. Weekly patterns are the most diverse for users aged 70 or over, followed by the users aged 65–69. Regarding interpersonal variability, we identify five clusters of users, each characterized by a distinct weekly profile and associated with certain age and gender.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_9_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "IEEE", "subitem_publisher_language": "en"}]}, "item_9_relation_43": {"attribute_name": "関連情報", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1109/TITS.2020.3043021", "subitem_relation_type_select": "DOI"}}]}, "item_9_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "“© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”", "subitem_rights_language": "en"}]}, "item_9_source_id_7": {"attribute_name": "収録物識別子", "attribute_value_mlt": [{"subitem_source_identifier": "1524-9050", "subitem_source_identifier_type": "PISSN"}]}, "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": "Liu, Shasha", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yamamoto, Toshiyuki", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Yao, Enjian", "creatorNameLang": "en"}]}, {"creatorNames": [{"creatorName": "Nakamura, Toshiyuki", "creatorNameLang": "en"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-09-13"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "Liu_et_al_2022.pdf", "filesize": [{"value": "666 KB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 666000.0, "url": {"objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/2003776/files/Liu_et_al_2022.pdf"}, "version_id": "57415546-7d95-4e35-858e-8543f927b933"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "Age", "subitem_subject_scheme": "Other"}, {"subitem_subject": "gender", "subitem_subject_scheme": "Other"}, {"subitem_subject": "interpersonal variability", "subitem_subject_scheme": "Other"}, {"subitem_subject": "intrapersonal variability", "subitem_subject_scheme": "Other"}, {"subitem_subject": "public transport", "subitem_subject_scheme": "Other"}, {"subitem_subject": "smart card data", "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": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Exploring Travel Pattern Variability of Public Transport Users Through Smart Card Data: Role of Gender and Age", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Exploring Travel Pattern Variability of Public Transport Users Through Smart Card Data: Role of Gender and Age", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "17", "path": ["675"], "permalink_uri": "http://hdl.handle.net/2237/0002003776", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2022-09-13"}, "publish_date": "2022-09-13", "publish_status": "0", "recid": "2003776", "relation": {}, "relation_version_is_last": true, "title": ["Exploring Travel Pattern Variability of Public Transport Users Through Smart Card Data: Role of Gender and Age"], "weko_shared_id": -1}
Exploring Travel Pattern Variability of Public Transport Users Through Smart Card Data: Role of Gender and Age
http://hdl.handle.net/2237/0002003776
http://hdl.handle.net/2237/0002003776