Development of Spatio-Temporal Mobility Data Analytics and Data Platform for Urban and Regional Studies
| Project/Area Number |
23300337
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Geography
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| Research Institution | The University of Tokyo |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
MURAYAMA Yuji 筑波大学, 生命環境研究系, 教授 (30182140)
YANO Keiji 立命館大学, 文学部, 教授 (30210305)
OSAWA Yutaka 埼玉大学, 理工学研究科, 教授 (50152111)
SEKIMOTO Yoshihide 東京大学, 生産技術研究所, 准教授 (60356087)
IMAI Osamu 東京大学, 空間情報科学研究センター, 客員研究員 (80401305)
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| Project Period (FY) |
2011-11-18 – 2014-03-31
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥8,840,000 (Direct Cost: ¥6,800,000、Indirect Cost: ¥2,040,000)
Fiscal Year 2013: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2012: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
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| Keywords | 地理情報システム / 時空間分析 / モビリティ / 都市・地域分析 / 人々 / ビッグデータ / 移動情報 / 時空間解析 / GIS / 分析ツール |
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| Research Abstract |
Systematic analytics for spatio-temporal mobility data representing people movements and activities can contribute to solve a wide range of urban and regional issues such as disaster response, transportation issues, and regional protection. Especially, in recent years, it has become possible to acquire large amount of practical data related to people mobility. Therefore, in this research, in order to utilize spatio-temporal data to some social issues with taking careful of personal privacy, we developed a mobility data handling platform and some analyzing methodologies, and conducted some case studies.
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Report
(4 results)
Research Products
(45 results)
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[Journal Article] Intelligent System for Human Behavior Analysis and Reasoning Following Large-scale Disasters2013
Author(s)
Song, X., Zhang, Q., Sekimoto, Y., Horanont, T., Ueyama, S. and Shibasaki, R
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Journal Title
IEEE Intelligent Systems
Volume: Vol.28, No.4
Pages: 35-42
Related Report
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[Journal Article] Combination of spatio-temporal correction methods using traffic survey data for reconstruction of people flow2012
Author(s)
Sekimoto, Y., Watanabe, A., Nakamura, T., Kanasugi, H., and Usui, T
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Journal Title
Pervasive and Mobile Computing
Volume: Vol.9, No.5
Pages: 629-642
Related Report
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[Journal Article] Combination of spatio-temporal correction methods using traffic survey data for reconstruction of people flow2012
Author(s)
Sekimoto, Y., Watanabe, A., Nakamura, T., Kanasugi, H., and Usui, T.
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Journal Title
Pervasive and Mobile Computing
Volume: Vol.9, No.2
Pages: 629-642
Related Report
Peer Reviewed
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[Journal Article] Pflow : Reconstructing people flow recycling large-scale social survey data2011
Author(s)
Sekimoto, Y., Shibasaki, R., Kanasugi, H., Usui, T., and Shimazaki, Y
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Journal Title
IEEE Pervasive Computing
Volume: Vol.10, No.4
Pages: 27-35
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[Presentation] Modeling and probabilistic reasoning of population evacuation during large-scale disaster2013
Author(s)
Song, X., Zhang, Q., Sekimoto, Y., Horanont, T., Ueyama, S., and Shibasaki, R
Organizer
Proceedings of the 19th ACM SIGKDD
Related Report
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[Presentation] Modeling and probabilistic reasoning of population evacuation during large-scale disaster2013
Author(s)
Song, X., Zhang, Q., Sekimoto, Y., Horanont, T., Ueyama, S., and Shibasaki, R.
Organizer
the 19th ACM SIGKDD
Place of Presentation
CHICAGO. USA
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