{"created":"2025-01-19T01:28:05.589330+00:00","updated":"2025-01-19T11:39:26.887418+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00228963","sets":["1164:3865:11134:11355"]},"path":["11355"],"owner":"44499","recid":"228963","title":["広島県呉市における高密度な人流データの利活用を目的としたデータ分析手法に関する一考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-11-08"},"_buckets":{"deposit":"18c6ccdb-478b-4242-98c4-1d303fc9b735"},"_deposit":{"id":"228963","pid":{"type":"depid","value":"228963","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"広島県呉市における高密度な人流データの利活用を目的としたデータ分析手法に関する一考察","author_link":["614941","614942","614940","614939"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"広島県呉市における高密度な人流データの利活用を目的としたデータ分析手法に関する一考察"},{"subitem_title":"Exploring High-Density Pedestrian Flow Data Utilization in Urban Development - Case of Kure City, Hiroshima -","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2023-11-08","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京電機大学／エクスポリス合同会社"},{"subitem_text_value":"東京電機大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Denki University / Expolis.LLC","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Denki University","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/228963/files/IPSJ-MBL23109011.pdf","label":"IPSJ-MBL23109011.pdf"},"date":[{"dateType":"Available","dateValue":"2025-11-08"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-MBL23109011.pdf","filesize":[{"value":"2.1 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":"35"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6b5170c0-51b9-48e4-b803-9a51b4703422","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"松井, 加奈絵"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"片桐, 悠馬"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Kanae, Matsui","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yuuma, Katagiri","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11851388","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8817","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"人流データの分析は都市の交通動態を理解し，未来の交通ニーズを予測する際に不可欠である．伝統的に，10 年ごとの集計間隔でのパーソントリップ調査データが用いられてきたが，急激に変わる都市環境に追従するのは難しい．これに対して，GPS データを使用したリアルタイムの人流分析は新たな可能性をもたらすが，具体的な分析・解析方法は未整理である．本研究では，広島県呉市の公開人流データを利用し，高密度の人流データの活用法を明らかにする．そして，提案した方法が都市開発のステークホルダーにとって実用的かを評価した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The analysis of pedestrian flow data is essential for understanding urban traffic dynamics and predicting future transportation needs. Traditionally, person-trip survey data, collected at intervals of every ten years, has been utilized; however, it is challenging to keep pace with rapidly changing urban environments. In contrast, real-time pedestrian flow analysis using GPS data offers new possibilities, but specific methods for analysis and interpretation remain underdeveloped. In this study, we leverage publicly available pedestrian flow data from Kure City in Hiroshima Prefecture to elucidate the utilization of high-density pedestrian data. We then evaluate the practicality of the proposed methods for urban development stakeholders.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告モバイルコンピューティングと新社会システム（MBL）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2023-11-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"11","bibliographicVolumeNumber":"2023-MBL-109"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":228963,"links":{}}