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Price Setting Mechanism for Cooperative Sharing Service based-on Social Acceptability and Sustainability

Research Project

Project/Area Number 18H03301
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 61030:Intelligent informatics-related
Research InstitutionHokkaido University (2020, 2022)
National Institute of Advanced Industrial Science and Technology (2018-2019)

Principal Investigator

Noda Itsuki  北海道大学, 情報科学研究院, 教授 (40357744)

Co-Investigator(Kenkyū-buntansha) 櫻井 祐子  国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (10396137)
金森 亮  名古屋大学, 未来社会創造機構, 特任准教授 (40509171)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2020: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2019: ¥5,850,000 (Direct Cost: ¥4,500,000、Indirect Cost: ¥1,350,000)
Fiscal Year 2018: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Keywordsマルチエージェント社会シミュレーション / ゲーム理論 / 公共交通設計 / 機械学習 / 進化的アルゴリズム / 計算社会科学 / 公平性 / 持続可能性 / シェアリング / マルチエージェント / オンデマンド交通 / シミュレーション / 交通システム / MaaS / 実証実験 / メカニズム設計 / 配車割り当て / 同時学習 / シミュレーション分析
Outline of Final Research Achievements

Pricing in sharing services is believed to become a significant issue in the future. In this study, we assumed this pricing problem as "How should we reflect the inefficiencies experienced by each user due to collaborative usage in the pricing while maintaining social acceptability and sustainability in cooperative sharing?" We attempted to analyze, examine, and construct pricing methods through (A) a mechanism design approach, (B) a transportation planning approach, and (C) a multi-agent learning approach. As a result, we were able to demonstrate the effectiveness of introducing declaration of willingness of use by passengers, propose dispatch allocation algorithms for improving fairness among drivers, confirm the importance of multiple options in the transport service design of subscriptions, and indicate the potential for designing a pricing system through evolution and elimination process by GA in social simulation.

Academic Significance and Societal Importance of the Research Achievements

SGDsのための社会設計としてのシェアリングサービス設計は今後重要となり、その中でも利益配分やコスト負担のバランスは社会制度の持続性に大きく関わる。本研究成果はまだ基礎的な知見ではあるものの、
工学的視点でバランスの取れる方法を提案することができたといえる。また、ゲーム理論あるいは計算社会科学的な視点でも、効率性と公平性のバランス問題や進化的な価格設定と利用者選択モデルの関係など、新規性のある手法や知見が得られたと思われる。

Report

(4 results)
  • 2022 Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • Research Products

    (22 results)

All 2022 2021 2020 2019 2018

All Journal Article (4 results) (of which Peer Reviewed: 4 results,  Open Access: 2 results) Presentation (18 results) (of which Int'l Joint Research: 7 results,  Invited: 2 results)

  • [Journal Article] Simulation Analysis on Benefits of Introducing Meeting Points Into On-Demand Shared Mobility Services.2022

    • Author(s)
      Ryo Nishida, Ryo Kanamori, Masaki Onishi, Itsuki Noda, Koichi Hashimoto
    • Journal Title

      IEEE Access

      Volume: 10 Pages: 124114-124129

    • DOI

      10.1109/access.2022.3224728

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Adjustment of the Number of Ride-Sharing Vehicles by Introducing the predeclaration on the expected time period of use2021

    • Author(s)
      太田 真人,櫻井 祐子,岡留 剛,野田 五十樹
    • Journal Title

      Transactions of the Japanese Society for Artificial Intelligence

      Volume: 36 Issue: 6 Pages: AG21-K_1-9

    • DOI

      10.1527/tjsai.36-6_AG21-K

    • NAID

      130008110424

    • ISSN
      1346-0714, 1346-8030
    • Year and Date
      2021-11-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning2019

    • Author(s)
      Sakurai Yuko、Oyama Satoshi
    • Journal Title

      AI 2019: Advances in Artificial Intelligence

      Volume: 11919 Pages: 78-88

    • DOI

      10.1007/978-3-030-35288-2_7

    • ISBN
      9783030352875, 9783030352882
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] 分割決定木を用いた分割関数ゲームの提携構造形成アルゴリズム2019

    • Author(s)
      査 澳龍、越村 三幸、櫻井 祐子、横尾 真
    • Journal Title

      電子情報通信学会論文誌D 情報・システム

      Volume: J102-D Pages: 313-323

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Presentation] SAVS と meeting point 方式2022

    • Author(s)
      西田遼, 野田五十樹, 金森亮
    • Organizer
      FUN-AI 2022
    • Related Report
      2020 Annual Research Report
  • [Presentation] RoboCup to Public Transportation2022

    • Author(s)
      Itsuki Noda
    • Organizer
      RoboCup Startup & Pitching Session
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] Mitigating fairness and efficiency tradeoff in vehicle-dispatch problems2022

    • Author(s)
      Masato Ota, Yuko Sakurai, Mingyu Guo, Itsuki Noda
    • Organizer
      PAAMS 2022
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] オンデマンド型乗合サービスにおける Meeting Points 導入の網羅的シミュレーション分析2022

    • Author(s)
      西田遼, 金森亮, 大西正輝, 野田五十樹, 橋本浩一
    • Organizer
      第66回土木計画学研究発表会・秋大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] AIオンデマンド交通のサービス設定に対する高齢者の受容性に関する検討---;静岡市 における実証実験を対象に---2022

    • Author(s)
      石井良治,石神孝裕,石井理,Gao Yuhan,金森 亮
    • Organizer
      土木計画学研究・講演集
    • Related Report
      2020 Annual Research Report
  • [Presentation] 地区内オンデマンド交通サービスにおけるサブスクリプションの利用実態分析2022

    • Author(s)
      原田将明,金森 亮,森川高行
    • Organizer
      土木計画学研究・講演集
    • Related Report
      2020 Annual Research Report
  • [Presentation] Higher-Order Statistics in Simple Pandemic Simulation2021

    • Author(s)
      Itsuki Noda, Shunki Takami, Masaki Onishi
    • Organizer
      AROB 2021
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] CAMP-IRL Agents: Extracting Multiple Behavior Profiles for Pedestrian Simulation2021

    • Author(s)
      Alvarez, Nahum, Itsuki Noda
    • Organizer
      13th International Conference on Agents and Artificial Intelligence
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] AI オンデマンド交通が購買行動に及ぼす影響分析2021

    • Author(s)
      井尾篤弥,金森 亮,森川高行
    • Organizer
      第19回ITSシンポジウム2021
    • Related Report
      2020 Annual Research Report
  • [Presentation] 静岡市における次世代公共交通サービスの利用意向分析2021

    • Author(s)
      堀部佑斗,金森 亮,山本 俊行
    • Organizer
      土木計画学研究・講演集
    • Related Report
      2020 Annual Research Report
  • [Presentation] サンプリングされた移動軌跡データと感染シミュレーション2020

    • Author(s)
      野田 五十樹
    • Organizer
      情報処理学会 知能システム(ICS)
    • Related Report
      2020 Annual Research Report
  • [Presentation] From RoboCup to Application2020

    • Author(s)
      Itsuki Noda
    • Organizer
      GKK Memorial Symposium 2020
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research / Invited
  • [Presentation] 学習する利用者と進化する運行者による共進化型相乗りタクシー配車料金体系設計の試み2020

    • Author(s)
      野田五十樹
    • Organizer
      情報処理学会「知能システム」研究会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 静岡MaaS実証実験参加者の交通行動と利用意向に関する分析2019

    • Author(s)
      金森亮、岩本武範、大前明生、石神孝裕、鈴木恵二、野田五十樹
    • Organizer
      17 回 ITS シンポジウム 2019
    • Related Report
      2019 Annual Research Report
  • [Presentation] Analysis of Coalition Formation in Cooperative Games Using Crowdsourcing and Machine Learning2019

    • Author(s)
      Yuko Sakurai
    • Organizer
      The 32nd Australasian Joint Conference
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 学習と競合を用いた相乗りタクシー配車の価格設定分析の試み2019

    • Author(s)
      野田五十樹
    • Organizer
      人工知能学会第17回SIG-DOCMAS研究会
    • Related Report
      2018 Annual Research Report
  • [Presentation] A Parameter Investigation of the epsilon-greedy Exploration Ratio Adaptation Method in Multi-agent Reinforcement Learning2018

    • Author(s)
      Takuya Okano, Itsuki Noda
    • Organizer
      The 14th European Workshop on Reinforcement Learning (EWRL 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] エージェントの参加が不確実な場合のk分割問題2018

    • Author(s)
      野本 一貴、櫻井 祐子、岡本 吉央、横尾 真
    • Organizer
      2018年度 第32回人工知能学会全国大会
    • Related Report
      2018 Annual Research Report

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Published: 2018-04-23   Modified: 2024-01-30  

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