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LI PEIRAN  LI PEIRAN

ORCIDConnect your ORCID iD *help
Researcher Number 80993443
Other IDs
Affiliation (Current) 2026: 一橋大学, 社会科学高等研究院, 講師
Affiliation (based on the past Project Information) *help 2026: 一橋大学, 社会科学高等研究院, 講師
2024: 東京大学, 大学院情報学環・学際情報学府, 特任研究員
Review Section/Research Field
Principal Investigator
Basic Section 22050:Civil engineering plan and transportation engineering-related
Keywords
Principal Investigator
GIS / Big Mobile Phone Data / Pseudo Data / Urban Computing / Generative Model / 都市計画 / 人工知能 / 生成モデル / 携帯電話GPSデータ / ビグデータ
  • Research Projects

    (2 results)
  • Research Products

    (2 results)
  • Co-Researchers

    (2 People)
  •  EventMobility: Event-Aware Human Mobility Generation via LLM-Guide Diffusion ModelPrincipal Investigator

    • Principal Investigator
      LI PEIRAN
    • Project Period (FY)
      2026 – 2027
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 22050:Civil engineering plan and transportation engineering-related
    • Research Institution
      Hitotsubashi University
  •  Big mobile phone GPS data driven pseudo individual life-pattern generationPrincipal Investigator

    • Principal Investigator
      LI PEIRAN
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 22050:Civil engineering plan and transportation engineering-related
    • Research Institution
      The University of Tokyo

All 2025 2024

All Journal Article Presentation

  • [Journal Article] GeoAvatar: A big mobile phone positioning data-driven method for individualized pseudo personal mobility data generation2025

    • Author(s)
      Li Peiran、Zhang Haoran、Li Wenjing、Huang Dou、Guo Zhiling、Chen Jinyu、Zhang Junxiang、Song Xuan、Zhao Pengjun、Yan Jinyue、Ryosuke Shibasaki、Koshizuka Noboru
    • Journal Title

      Computers, Environment and Urban Systems

      Volume: 119 Pages: 102252-102252

    • DOI

      10.1016/j.compenvurbsys.2025.102252

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K26222, KAKENHI-PROJECT-23K04071, KAKENHI-PROJECT-24K17367
  • [Presentation] GeoAvatar:疑似モビリティを生成するためのマルチモーダル2024

    • Author(s)
      LI PEIRAN
    • Organizer
      NetMob2024
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24K17367
  • 1.  宋 軒
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 2.  柴崎 亮介
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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