Rchr
J-GLOBAL ID：201501001495641921   Update date: Nov. 21, 2023

Ito Maski

イトウ マサキ | Ito Maski
Affiliation and department：
The University of Tokyo Social ICT Research Center, Graduate School of Information Science and Technology

About The University of Tokyo Social ICT Research Center, Graduate School of Information Science and Technology


Job title： Associate Professor
Homepage URL  (1)： http://www.niya.net
Research field  (2)： Civil engineering (planning and transportation) ,  Database science
Research theme for competitive and other funds  (7)：
  • 2020 - 2024 development of altruistic transportation behavior under disadvantageous situation and adapted MaaS system
  • 2021 - 2024 人工知能の開発・利用をめぐる自律性および関係性の理論分析と社会実装
  • 2020 - 2023 中小都市における検索履歴データを用いた動学的バス需要予測手法の開発
  • 2018 - 2021 A Method to Understand the Usage Regional Public Transportation by Linking Big Data from Different Sources
  • 2016 - 2019 Application of using Big Data as Local Transport Planning
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Papers (25)：
  • Mio HOSOE, Masashi KUWANO, Taku MORIYAMA, Kosuke MIYAZAKI, Masaki ITO. EXTRACTION OF SIMILAR BEHAVIOR FROM SMART CARD DATA. Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). 2021. 76. 5. I_957-I_966
  • ITO Masaki, MOROHOSHI Kenji, OTA Kohei, MORIYAMA Masayuki, KANDA Yusuke, FUJIWARA Akimasa. PROVIDING INFORMATION ON PUBLIC TRANSPORTATION UNDER THE DISASTER : ACTIVITIES AGAINST 2018 JAPAN FLOODS IN HIROSHIMA AND KURE. Journal of Japan Society of Civil Engineers, Ser. D3 (Infrastructure Planning and Management). 2021. 76. 5. I_1465-I_1475
  • Mio Hosoe, Masashi Kuwano, Taku Moriyama, Kosuke Miyazaki, Masaki Ito. Travel Pattern Extraction from Smart Card Data using Data Polishing. 2019 IEEE International Conference on Big Data (IEEE BigData). 2019. 3563-3572
  • Chenwei Song, Masaki Ito, Yuuki Nishiyama, Kaoru Sezaki. Using Mobile Sensing Technology for Capturing People Mobility Information. Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Prediction of Human Mobility(PredictGIS@SIGSPATIAL). 2019. 33-40
  • Kyoichi Ito, Masaki Ito, Kosuke Miyazaki, Keishi Tanimoto, Kaoru Sezaki. Data analysis on train transportation data with nonnegative matrix factorization. Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017. 2018. 2018-. 4080-4085
ｍore...
MISC (49)：
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Books (1)：
  • 地域モビリティの再構築
    薫風社 2021 ISBN:4902055414
Lectures and oral presentations  (2)：
  • 行動変容と交通インフラの動的制御によるスマートな都市交通基盤を目指して
    (電子情報通信学会 第26回ヒューマンプローブ研究会(HPB) 2022)
  • 公共交通オープンデータ第2幕:「静的データは出来た、次はリアルタイム」と決めつける前に考えること
    (福井県 令和3年度 新モビリティサービス検討会 2021)
Professional career (1)：
  • 博士(政策・メディア) (慶應義塾大学)
Work history (6)：
  • 2022/03 - 現在 一般社団法人日本バス情報協会 代表理事
  • 2021/04 - 現在 The University of Tokyo Social ICT Research Center, Graduate School of Information Science and Technology Associate Professor
  • 2019/04 - 2021/03 The University of Tokyo Institute of Industrial Science Project Lecturer
  • 2013/10 - 2019/03 The University of Tokyo Institute of Industrial Science Research Associate
  • 2010/10 - 2013/09 Tottori University Assistant Professor
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Association Membership(s) (3)：
土木学会 ,  電子情報通信学会 ,  情報処理学会
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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