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Oki Lab
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A lab that uses big data and AI to build the evidence base for architecture and community development.
AboutAbout the lab
Evidence for architectural planning, from big data and AI.
The Oki Lab develops methods that use big data and AI to provide the "evidence" on which architectural planning and community development can rely.
It works with diverse data, including images of building interiors and exteriors, real estate listings, social media, pedestrian flows, and gaze trajectories.
Its research topics include where people get lost and stop in train stations, why parents choose the daycare centers they do, and circulation routes inside hospitals.
Key terms
- Big data
- Large volumes of data collected automatically by machines, such as social media posts, pedestrian flows, and real estate listings.
- AI
- Technology that learns rules from large amounts of data and uses them to classify and make predictions. It is used to process images and text.
- Architectural planning
- A field of architecture that considers the planning of buildings and cities based on how people behave and how spaces are used.
NewsLab news
Information session on admission to graduate programs in architecture held
Student wins Excellent Presentation Award from the Geographic Information Systems Association of Japan
Associate Professor Oki and student win Poster Session Award from the Geographic Information Systems Association of Japan
Student wins Excellent Presentation Award at the Student Free-Theme Presentation Meeting
Student wins Young Researcher Excellent Presentation Award in the Urban Planning Division at the Architectural Institute of Japan Annual Meeting
ResearchResearch themes
The lab develops methods that use big data and AI to provide the "evidence" on which architectural planning and community development can rely. It analyzes diverse data, including images of building interiors and exteriors, real estate listings, social media, pedestrian flows, and gaze trajectories, through image processing, natural language processing, and spatio-temporal information processing.
*Illustrative imageAnalysis of getting-lost behavior in railway stations
The lab has developed an app for recording where people stop, and uses it to analyze how stops caused by getting lost in a large terminal station vary by user attributes and spatial features, and how they relate to gaze points predicted by AI.
*Illustrative imageAnalysis of the appeal of densely built wooden housing areas
The lab analyzes which elements of densely built wooden housing areas affect how appealing people find them, using experiments with participants and social media data. It also examines how the gaze points and evaluation structures used in judging impressions differ between humans and AI.
*Illustrative imageAnalysis of daycare center choice
Using publicly available data from local governments on daycare admissions, the lab analyzes the factors that influence parents' choice of daycare center, and builds models to estimate demand for childcare.
*Illustrative imageEstimating building structure and construction year
This research uses big data on real estate properties to estimate, with AI, a building's structure type and year of construction from images of its exterior.
MembersFaculty
The Oki Lab consists of faculty members and doctoral, master's, and undergraduate students.As of 2026
- Associate ProfessorTakuya OkiPublications ↗
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “JP-Tokyo-Area-Taken-From-Airplane” Kanchi1979 / CC BY-SA 4.0 (cropped)
- Analysis of getting-lost behavior in railway stations: “Tokyo-metro Hibiya-line Ueno-STA Concourse” MaedaAkihiko / CC0 (cropped)
- Analysis of the appeal of densely built wooden housing areas: “Wooden tenement houses kyojima 3chome 2009” Kamemaru2000 / CC BY-SA 3.0 (cropped)
- Analysis of daycare center choice: “Iheya Nursery School 202603” Kugel~commonswiki / CC BY-SA 4.0 (cropped)
- Estimating building structure and construction year: “Residential by Zenpukuji River in Horinouchi, Suginami, Tokyo, Japan, 2024 May” Ximonic (Simo Räsänen) / CC BY-SA 4.0 (cropped)
- Related lab (大佛研究室): “Alphabet City aerial view” Felton Davis / CC BY 2.0 (cropped)
- Related lab (斎尾研究室): “Oshu City Maesawa Elementary School Building 202508b” とらもん192 / CC BY 4.0 (cropped)
- Related lab (村田涼研究室): “Another daoist temple ( )” Francisco Anzola / CC BY 2.0 (cropped)
- Related lab (菅原研究室): “Tenji-block” Haragayato / CC BY-SA 2.5 (cropped)
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