関本研究室 空間情報科学研究センター Sekimoto Lab

Human Movement Analysis in Disasters（災害時の行動分析）

• Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas（携帯電話情報と地形情報を用いた過疎地域での洪水エリアの検出）
  • Main paper(s)
    Takahiro Yabe, Kota Tsubouchi and Yoshihide Sekimoto, Fusion of Terrain Information and Mobile Phone Location Data for Flood Area Detection in Rural Areas, IEEE International Conference on Big Data (IEEE Big Data 2018), Decemeber 2018, Seattle, Washington, USA.
• Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data（GPS情報を用いた日本における複数の地震後の避難行動分析）
  • Main papers(s)
    Takahiro Yabe, Yoshihide Sekimoto, Kota Tsubouchi, Satoshi Ikemoto, Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data, PLOS ONE, Vol.14, No.2, e0211375, 2019/02/20. (Impact factor: 2.766 in 2018)
• An analysis of Factors Influencing Disaster Mobility using Location Data from Smartphones: Case study of Western Japan Flooding（西日本豪雨におけるスマートフォン位置情報を用いた災害時行動に影響する要因の分析）
  • Poster (English)
• Predicting irregular human mobility after disasters using GPS data
  （GPS情報を用いたロジスティック回帰分析による災害発生後の個々人の行動変容の理解と予測）
  • Poster (Japanese)
  • Main paper(s)
    Takahiro Yabe, Kota Tsubouchi, Yoshihide Sekimoto and Akihito Sudo, Predicting Irregular Individual Movement following Frequent Mid-Level Disasters using Location Data from Smartphones, The 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), San Francisco, 2016.
• City-wide Fragility Analysis（都市レベルの脆弱性分析）
  • Main paper(s)
    Takahiro Yabe, Kota Tsubouchi and Yoshihide Sekimoto, CityFlowFragility: Measuring the Fragility of People Flow in Cities to Disasters using GPS Data Collected from Smartphones, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Vol.1, No.3, Article 117, September 2017.
• Analyzing Human Behavior in The Kumamoto Earthquake
  （熊本地震時の人の行動分析）
  • Poster (Japanese)
    （平成28年4⽉熊本地震における混雑度推計：2016年5⽉20日版）
  • Main paper(s)
    Takahiro Yabe, Kota Tsubouchi, Akihito Sudo and Yoshihide Sekimoto, A Framework for Evacuation Hotspot Detection after Large Scale Disasters using Location Data from Smartphones: Case Study of Kumamoto Earthquake, The 24th International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016), San Francisco, 2016.
• Analyzing Human Behavior in The Great East Japan Earthquake
  （東日本大震災時の人の行動分析）
  • Main paper(s)
    Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Rousuke. Shibasaki, Nicholas Jing Yuan and Xing Xie, A Simulator of Human Emergency Mobility following Disasters: Knowledge Transfer from Big Disaster Data, Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), pp. 730-736, 2015.
    若生凌, 関本義秀, 金杉洋, 柴崎亮介, GPSデータを用いた東日本大震災における人々の経路選択行動分析, 土木学会論文集D3（土木計画学）, Vol.70, No.5, pp.681-688, 2014.
• Analysis of the Reconstruction Process after the Great East Japan Earthquake Using GPS Data
  （2011年東日本大震災におけるGPSを用いた震災復興過程の評価）
  • Poster (Japanese)
  • Main paper(s)
    Ryosuke Toida, Yoshihide Sekimoto, Teerayut Horanont, Hiroshi Kanasugi and Ryosuke Shibsaki, Analysis of the reconstruction process after the Great East Japan Earthquake using GPS data, CUPUM2013, CDROM, 2013.

Decision-Making System in Disasters（災害時における意思決定）

• Decision-Making System for Road-Recovery Considering Human Mobility by Applying Deep Q-Learning
  （Deep Q-Learningによる人の移動を考慮した道路復旧の意思決定システム）
  • Poster (English)
  • Main paper(s)
    Soo-hyun Joo, Yoshiki Ogawa, Shaofeng Yang, Yoshihide Sekimoto, Developing System for Setting Priority of Road-Recovery Considering Human Mobility by Applying Deep Q-Learning, ADBI—Purdue University—University of Tokyo: Virtual Workshop on Resilience of Cities to External Shocks: Analysis, Modeling and Economic Impacts, 2020.

Urban Area Analysis as Network Community
（ネットワークコミュニティとしての都市圏域構造）

• Urban Area Analysis as Network Community
  （ネットワークコミュニティとしての都市圏域構造）
  • Poster (Japanese)

Public Vehicle Analysis in Local Government（自治体における公用車の挙動分析）

• はたらく車プロジェクト
  • Poster (Japanese)
  • Main paper(s)
    小原光暁, 樫山武浩, 関本義秀, 小俣博司, 公用車の長期GPSデータを用いた利用分析と最適化の可能性～はたらく車プロジェクトを通じて～, 交通工学論文集, Vol.4, No.1, pp.A_286-A_293, February 2018.
    Mitsuaki Obara, Takehiro Kashiyama, Yoshihide Sekimoto, and Hiroshi Omata, Analysis of Public Vehicle Use with Long-term GPS Data and the Possibility of Use Optimization – Through working car project -, The Third International Conference on Smart Portable, Wearable, Implantable and Disability-oriented Devices and Systems (SPWID 2017), June 2017, Venice, Italy. (Best Paper Award)

Weather Effects Analysis on Human Behavior
（天候と人の移動の関係を分析する）

• Analyzing Weather Effects on Human Behavior
  （天候と人の移動の関係を分析する）
  • Main paper(s)
    Teerayut Horanont, Santi Phithakkitnukoon, Tuck W Leong, Yoshihide Sekimoto, Ryosuke Shibasaki, Weather Effects on the Patterns of People’s Everyday Activities: A study using GPS traces of mobile phone users, PLOS ONE, Vol.8, No.12, e81153, 2013.

Tourist Behavior Analysis（観光行動分析）

• Tourist behavior analysis utilizing large-scale and long-term GPS data
  （大規模・長期間のGPSデータを活用した観光行動分析）
  • Poster (English) (Japanese)
  • Main paper(s)
    Santi Phithakkitnukoon, Teerayut Horanont, Apichon Witayangkurn, Raktida Siri,Yoshihide Sekimoto, Ryosuke Shibasaki, Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan, Pervasive and Mobile Computing Journal, Elsevier, Available online 11 August 2014.
    生形嘉良, 関本義秀, Teerayut Horanont, 大規模・長期間のGPSデータによる観光統計調査の活用可能性～石川県を事例に～, 土木学会論文集D3（土木計画学）, Vol.69, No.5, pp.345-352, 2013.

Transportation Analysis in various countries（様々な国でのデータを用いた交通行動分析）

• Driver behavior analysis in India cities by using probe data
  （プローブデータを用いたインド諸都市の道路交通に関する多角的な考察）
  • Poster (English) (Japanese)
  • Main paper(s)
    坂田理子, 金杉洋, Ashutosh Kumar, 関本義秀, インドにおける長期プローブデータを用いたタクシーの営業行動に関する分析, 地理情報システム年次講演会, 2017.
• Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining（マプト都市圏における人々の時空間行動の推定）
  • Poster (English)
  • Main paper(s)
    Batran, M., Mejia, M. G., Kanasugi, H., Sekimoto, Y., & Shibasaki, R.: Inferencing Human Spatiotemporal Mobility in Greater Maputo via Mobile Phone Big Data Mining, International Journal of Geo-Information, Vol.7, No.7, 259, June 2018. DOI
• Estimation of trip generation in Yangon city by using CDRs data（CDRデータを用いたヤンゴンにおけるトリップの推定）
  • Poster (English)
  • Main paper(s)
    Kyaing, KoKo Lwin, Yoshihide Sekimoto, Estimation of trip generation in Yangon city by using CDRs data, Proceedings of the Eastern Asia Society for Transportation Studies, Vol.11, 14 pages, November 2017.
    Ko Ko Lwin, Yoshihide Sekimoto and Wataru Takeuchi, Estimation of Hourly Link Population and Flow Directions from Mobile CDR, ISPRS International Journal of Geo-Information, Vol.7 No.11, 449, 2018/12/17