Potential Environmental Factors to Increase the Public Transportation Users by AI Applications Using Traffic Big Data

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学術機関リポジトリデータベース（IRDB）（機関リポジトリ）

Potential Environmental Factors to Increase the Public Transportation Users by AI Applications Using Traffic Big Data

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Material Type: 博士論文
Title: Potential Environmental Factors to Increase the Public Transportation Users by AI Applications Using Traffic Big Data
Author/Editor: 張, 翔筌
Chang, Hsiang Chuan
Author Heading: 張, 翔筌
Chang, Hsiang Chuan
Publication Date: 2022
Publication Date (W3CDTF): 2022
Alternative Title: 交通ビッグデータと人工知能を活用した公共交通利用者増加の潜在的環境要因に関する研究
Pages: 5-148
Degree grantor/type: 早稲田大学
Date Granted: 2023-03-15
Dissertation Number: 甲第6849号
Degree Type: 博士(工学)
Text Language Code: eng
Target Audience: 一般
Note (General): 早大学位記番号:新9261
Format (IMT): application/pdf
Source: Honbun-9261.pdf （fulltext）
https://waseda.repo.nii.ac.jp/record/78459/files/Honbun-9261.pdf
Access Restrictions: インターネット公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 早稲田大学 : 早稲田大学リポジトリ