Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.iccn.2025.104257

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

DOI： 10.1016/j.inffus.2025.103467

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

DOI： 10.1016/j.inffus.2025.103467

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DOI： 10.2139/ssrn.7225624

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.5194/isprs-annals-X-4-W7-2025-43-2025

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.5638/thagis.33.24

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Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.3130/aijt.31.1105

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.5638/thagis.33.24

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Language：Japanese  

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Publishing type：Research paper (scientific journal)  

DOI： 10.3724/j.fjyl.LA20240101

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

DOI： 10.11517/pjsai.JSAI2025.0_2O5OS21b02

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

DOI： 10.11517/pjsai.JSAI2025.0_2M5OS37b04

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Publishing type：Research paper (scientific journal)  

DOI： 10.3724/j.fjyl.LA20240101

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Sage Journals  

DOI： 10.1177/23998083251327405

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Sage Journals  

DOI： 10.1177/23998083251327405

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)  

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Language：English   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：ScienceDirect  

DOI： 10.1016/j.cexr.2024.100081

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：ScienceDirect  

DOI： 10.1016/j.cexr.2024.100081

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.landurbplan.2024.105073

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1016/j.landurbplan.2024.105073

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Tab Edizioni  

Recent research has shown increasing use of computational methods in the built environment for studying the visual impression of architectural spaces (VIAS) by either; (i)linking visual stimuli from imagery data with linguistic descriptions, (ii)analysing visual attention data from eye tracking devices, or (iii)a combination of these. Despite advancements in capturing multi-modal subjective impressions of architectural space, limited research links the geometry of the environment in relation to its impression. Comprehending how the geometry of the built environment affects our perception is essential for translating perceptual insights into designs. Our aim is thus to leverage on space syntax methodology, VIAS research and eye-tracking technology to explore the linkage between the spatial configuration of an urban space and its visual impression during moments of “Oku”, an abstract architectural concept in Japan to describe a sense of curiosity and depth. In particular, we examined subjective perception and conjecture that spaces with longer isovists(greater depth), higher occlusivity(curiosity) and visibility can potentially stimulate greater visual attention during moments of “Oku.” To trace the impression of Oku to the spatial configuration of the space, we: (1)collected gaze from human subjects; (2)calculated visibility graph analytical measures, and (3)associated the two. Our exploratory results indicate a weak association between VIAS and SST visibility graph metrics. These findings highlight both the potential and the complexities of connecting our visual perceptions with the spatial layout of our built environment. Moving forward, we aim to assess gaze attention dynamically to uncover how the shape of our environment influences our senses within it.

DOI： 10.17863/CAM.125600

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Tab Edizioni  

Recent research has shown increasing use of computational methods in the built environment for studying the visual impression of architectural spaces (VIAS) by either; (i)linking visual stimuli from imagery data with linguistic descriptions, (ii)analysing visual attention data from eye tracking devices, or (iii)a combination of these. Despite advancements in capturing multi-modal subjective impressions of architectural space, limited research links the geometry of the environment in relation to its impression. Comprehending how the geometry of the built environment affects our perception is essential for translating perceptual insights into designs. Our aim is thus to leverage on space syntax methodology, VIAS research and eye-tracking technology to explore the linkage between the spatial configuration of an urban space and its visual impression during moments of “Oku”, an abstract architectural concept in Japan to describe a sense of curiosity and depth. In particular, we examined subjective perception and conjecture that spaces with longer isovists(greater depth), higher occlusivity(curiosity) and visibility can potentially stimulate greater visual attention during moments of “Oku.” To trace the impression of Oku to the spatial configuration of the space, we: (1)collected gaze from human subjects; (2)calculated visibility graph analytical measures, and (3)associated the two. Our exploratory results indicate a weak association between VIAS and SST visibility graph metrics. These findings highlight both the potential and the complexities of connecting our visual perceptions with the spatial layout of our built environment. Moving forward, we aim to assess gaze attention dynamically to uncover how the shape of our environment influences our senses within it.

DOI： 10.17863/CAM.125600

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/ijgi13040131

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.3390/ijgi13040131

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/BigData59044.2023.10386316

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Other Link： https://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2023.html#ImadegawaOOZ23

Language：Japanese   Publisher：日本地震工学会  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

DOI： 10.1109/BigData59044.2023.10386316

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Other Link： https://dblp.uni-trier.de/db/conf/bigdataconf/bigdataconf2023.html#ImadegawaOOZ23

Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：English   Publishing type：Research paper (international conference proceedings)  

Web of Science

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer, Cham.  

DOI： 10.1007/978-3-031-31746-0_13

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer, Cham.  

DOI： 10.1007/978-3-031-31746-0_13

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Information Systems for Crisis Response and Management  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Information Systems for Crisis Response and Management  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

DOI： 10.1016/j.engappai.2023.106294

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Elsevier BV  

DOI： 10.1016/j.engappai.2023.106294

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

People flow trend estimation is crucial to traffic and urban safety planning and management. However, owing to privacy concerns, the collection of individual location data for people flow statistical analysis is difficult; thus, an alternative approach is urgently needed. Furthermore, the trend in people flow is reflected in streetscape factors, yet the relationship between them remains unclear in the existing literature. To address this, we propose an end-to-end deep-learning approach that combines street view images and human subjective score of each street view. For a more detailed people flow study, estimation and analysis were implemented using different time and movement patterns. Consequently, we achieved a 78% accuracy on the test set. We also implemented the gradient-weighted class activation mapping deep learning visualization and L1 based statistical methods and proposed a quantitative analysis approach to understand the land scape elements and subjective feeling of street view and to identify the effective elements for the people flow estimation based on a gradient impact method. In summary, this study provides a novel end-to-end people flow trend estimation approach and sheds light on the relationship between streetscape, human subjective feeling, and people flow trend, thereby making an important contribution to the evaluation of existing urban development.

DOI： 10.3390/rs15051362

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：MDPI AG  

People flow trend estimation is crucial to traffic and urban safety planning and management. However, owing to privacy concerns, the collection of individual location data for people flow statistical analysis is difficult; thus, an alternative approach is urgently needed. Furthermore, the trend in people flow is reflected in streetscape factors, yet the relationship between them remains unclear in the existing literature. To address this, we propose an end-to-end deep-learning approach that combines street view images and human subjective score of each street view. For a more detailed people flow study, estimation and analysis were implemented using different time and movement patterns. Consequently, we achieved a 78% accuracy on the test set. We also implemented the gradient-weighted class activation mapping deep learning visualization and L1 based statistical methods and proposed a quantitative analysis approach to understand the land scape elements and subjective feeling of street view and to identify the effective elements for the people flow estimation based on a gradient impact method. In summary, this study provides a novel end-to-end people flow trend estimation approach and sheds light on the relationship between streetscape, human subjective feeling, and people flow trend, thereby making an important contribution to the evaluation of existing urban development.

DOI： 10.3390/rs15051362

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1109/JSTARS.2023.3237509

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Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1109/JSTARS.2023.3237509

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.87.2480

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.87.2480

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Language：Japanese   Publishing type：Research paper (scientific journal)  

DOI： 10.3130/aija.87.2102

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

The spatial distribution of people in a building could provide valuable information for an effective guidance in emergency. This paper aims to develop a method to estimate the number of walking people in staircases using infrared human detection sensors. First, we constructed a walking behavior model and a sensor response model using the survey data observed in an emergency drill. Next, using these two models, we generated a large volume training data on human flows and corresponding sensor responses for a neural network model. Finally, we demonstrated the validation of the model through the comparison with the survey data.

DOI： 10.3130/aija.87.1699

CiNii Research

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institution of Engineering Designers (IED)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institution of Engineering Designers (IED)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institution of Engineering Designers (IED)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Institution of Engineering Designers (IED)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：The Japanese Society for Artificial Intelligence  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publisher：Science Impact Ltd  

DOI： 10.21820/23987073.2022.1.18

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Association for Computing Machinery (ACM)  

DOI： 10.1145/3486640.3491395

Scopus

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：東京大学  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Association for Computing Machinery (ACM)  

DOI： 10.1145/3486640.3491395

Scopus

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

DOI： 10.5194/isprs-archives-XLIII-B4-2022-545-2022

Scopus

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-030-76059-5

Scopus

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer International Publishing  

DOI： 10.1007/978-3-030-76059-5

Scopus

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：The Japanese Society for Artificial Intelligence  

In the disaster response immediately after a large earthquake, it is important to grasp the real-time situation of people's stay and evacuation. However, it is a challenge to shorten the computation time and improve the prediction accuracy. This paper aims to build a new data-driven evacuee distribution prediction model, which integrates graph neural network (GNN) and data assimilation, to efficiently and accurately predict the distribution of the number of evacuees per road link and time unit: (1)We train a GNN model to obtain a likelihood distribution corresponding to the probability of movement from a node to its connecting links; (2) We apply a particle filter, one of the data assimilation methods, to the probabilistic predictive evacuee distribution obtained from the likelihood distribution mentioned above. The sequential calculation by the model is expected to improve the speed and accuracy of evacuee distribution prediction.

DOI： 10.11517/pjsai.jsai2021.0_2d1os602

CiNii Research

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：The Japanese Society for Artificial Intelligence  

In the disaster response immediately after a large earthquake, it is important to grasp the real-time situation of people's stay and evacuation. However, it is a challenge to shorten the computation time and improve the prediction accuracy. This paper aims to build a new data-driven evacuee distribution prediction model, which integrates graph neural network (GNN) and data assimilation, to efficiently and accurately predict the distribution of the number of evacuees per road link and time unit: (1)We train a GNN model to obtain a likelihood distribution corresponding to the probability of movement from a node to its connecting links; (2) We apply a particle filter, one of the data assimilation methods, to the probabilistic predictive evacuee distribution obtained from the likelihood distribution mentioned above. The sequential calculation by the model is expected to improve the speed and accuracy of evacuee distribution prediction.

DOI： 10.11517/pjsai.jsai2021.0_2d1os602

CiNii Research

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：人間・環境学会  

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Language：Japanese   Publisher：井上書院  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Taylor & Francis Group  

DOI： 10.1080/13658816.2020.1718153

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Taylor & Francis Group  

DOI： 10.1080/13658816.2020.1718153

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：東京大学  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.84.1521

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer, Cham  

DOI： 10.1007/978-3-030-19424-6_23

Scopus

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer, Cham  

DOI： 10.1007/978-3-030-19424-6_23

Scopus

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Journal of Disaster Research (Special Issue on Disaster and Big Data 3)  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.84.743

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

DOI： 10.20965/jdr.2019.p0478

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

DOI： 10.20965/jdr.2019.p0478

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan?  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan?  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan?  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan?  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan?  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Disaster Information Studies  

From the viewpoint of prevention of crowd accident, it is important to early grasp how much and where local/sudden congestion by the crowd is occurring. In this paper, we discuss the possibility of quantifying the crowd congestion degree based on the expressions in text information posted to SNS, which is excellent in immediacy. Firstly, 52 expressions for the degree of crowd congestion and 100 photographs of congestion situation are collected from the actual Twitter data posted within 24 hours after the Great East Japan Earthquake occurred. Secondly, we ask the respondents of the Web-based questionnaire survey to evaluate the degree of congestion recalled from each linguistic expression on a 10 level scale (1 [low] – 10 [high]). In addition, the respondents are asked to choose a linguistic expression suitable for expressing the crowd congestion degree in each situation presented by one of the photographs. Based on these results, we score and rank 52 expressions and 100 photographs, and demonstrate the usefulness of text information on SNS in estimating crowd congestion degree.

J-GLOBAL

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Japan Society for Disaster Information Studies  

From the viewpoint of prevention of crowd accident, it is important to early grasp how much and where local/sudden congestion by the crowd is occurring. In this paper, we discuss the possibility of quantifying the crowd congestion degree based on the expressions in text information posted to SNS, which is excellent in immediacy. Firstly, 52 expressions for the degree of crowd congestion and 100 photographs of congestion situation are collected from the actual Twitter data posted within 24 hours after the Great East Japan Earthquake occurred. Secondly, we ask the respondents of the Web-based questionnaire survey to evaluate the degree of congestion recalled from each linguistic expression on a 10 level scale (1 [low] – 10 [high]). In addition, the respondents are asked to choose a linguistic expression suitable for expressing the crowd congestion degree in each situation presented by one of the photographs. Based on these results, we score and rank 52 expressions and 100 photographs, and demonstrate the usefulness of text information on SNS in estimating crowd congestion degree.

J-GLOBAL

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ISCRAM 2018 Organization  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ISCRAM 2018 Organization  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

© 2018, Fuji Technology Press. All rights reserved. It is difficult to evaluate the street network accessibility after a large earthquake occurs. In this paper, we construct a model to evaluate the street network accessibility for wide-area emergency behaviors under the condition of property damage in the Tokyo Metropolitan Area after a large earthquake. Additionally, we analyze the relationships between a local environment and street network accessibility by using multiple regression analysis. Finally, we discuss some important factors for evaluating risk mitigation strategies.

DOI： 10.20965/jdr.2018.p0262

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

© 2018, Fuji Technology Press. All rights reserved. Fire-spread prevention activities, which are performed by local residents in an early phase of fire, play an important role in reducing the destruction damage caused by fire in large earthquakes. However, few studies have focused on the fire-spread prevention activities that are carried out in the confused situation immediately following a large earthquake. Therefore, to date, there has been no sufficiently comprehensive discussion regarding the effectiveness of such activities. In this study, we estimate the possibility that local residents can prevent the spread of fire from the building of fire origin to an adjacent building by using equipment such as stand pipes. For this purpose, we utilize the agent-based simulator of property damage and human behavior at the time of a large earthquake that we developed in an earlier study. In addition, we demonstrate the effects of some measures for increasing the success rate of preventing fire-spread by comparing the simulation results under the following assumptions: (1) The percentage of streets blocked by the rubble of collapsed buildings is decreased, (2) the number of stand pipes is

DOI： 10.20965/jdr.2018.p0272

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：日本建築学会関東支部  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：日本建築学会関東支部  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

© 2018, Fuji Technology Press. All rights reserved. It is difficult to evaluate the street network accessibility after a large earthquake occurs. In this paper, we construct a model to evaluate the street network accessibility for wide-area emergency behaviors under the condition of property damage in the Tokyo Metropolitan Area after a large earthquake. Additionally, we analyze the relationships between a local environment and street network accessibility by using multiple regression analysis. Finally, we discuss some important factors for evaluating risk mitigation strategies.

DOI： 10.20965/jdr.2018.p0262

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

© 2018, Fuji Technology Press. All rights reserved. Fire-spread prevention activities, which are performed by local residents in an early phase of fire, play an important role in reducing the destruction damage caused by fire in large earthquakes. However, few studies have focused on the fire-spread prevention activities that are carried out in the confused situation immediately following a large earthquake. Therefore, to date, there has been no sufficiently comprehensive discussion regarding the effectiveness of such activities. In this study, we estimate the possibility that local residents can prevent the spread of fire from the building of fire origin to an adjacent building by using equipment such as stand pipes. For this purpose, we utilize the agent-based simulator of property damage and human behavior at the time of a large earthquake that we developed in an earlier study. In addition, we demonstrate the effects of some measures for increasing the success rate of preventing fire-spread by comparing the simulation results under the following assumptions: (1) The percentage of streets blocked by the rubble of collapsed buildings is decreased, (2) the number of stand pipes is

DOI： 10.20965/jdr.2018.p0272

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Language：Japanese   Publishing type：Doctoral thesis  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：The Korean Association of Geographic Information Studies  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：The Korean Association of Geographic Information Studies  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：The Korean Association of Geographic Information Studies  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：The Korean Association of Geographic Information Studies  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

 When a large earthquake occurs, rescue operations and fire-fighting are obstructed by street-blockages. In order to reduce property/human damages caused by the delay in arrival at the disaster site, it is important to quickly collect, share and utilize disaster information among multiple users. In this paper, we developed a system that can collect and share information acquired by users in real time in the event of a disaster. The advantages of the system are summarized as follows: (1) Users can access to the system by using various kinds of information terminals such as mobile phones (Android/iOS) and personal computers because it was implemented as a Web application; (2) The system can run on a cloud server in several countries with high disaster resistance; (3) A simulation to predict the property damage by fire-spreading can be performed based on collected information on the location of building fires as an example of secondary usage of disaster information; (4) Persons in charge of collecting disaster information and the location with high possibility of damages are recommended to support users for effective information collecting.<br> Using this system, we conducte

DOI： 10.3130/aija.82.2451

J-GLOBAL

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

 When a large earthquake occurs, rescue operations and fire-fighting are obstructed by street-blockages. In order to reduce property/human damages caused by the delay in arrival at the disaster site, it is important to quickly collect, share and utilize disaster information among multiple users. In this paper, we developed a system that can collect and share information acquired by users in real time in the event of a disaster. The advantages of the system are summarized as follows: (1) Users can access to the system by using various kinds of information terminals such as mobile phones (Android/iOS) and personal computers because it was implemented as a Web application; (2) The system can run on a cloud server in several countries with high disaster resistance; (3) A simulation to predict the property damage by fire-spreading can be performed based on collected information on the location of building fires as an example of secondary usage of disaster information; (4) Persons in charge of collecting disaster information and the location with high possibility of damages are recommended to support users for effective information collecting.<br> Using this system, we conducte

DOI： 10.3130/aija.82.2451

J-GLOBAL

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

 Railway commuters to work place/school, who are the majority of railway users, often make stopover at various stations for eating or shopping on their way home. In recent years, the mobility of railway users has been diversified by expansion of railway network and redevelopment around railway stations. Therefore, we need to analyze such stopover behavior by commuters in order not only to improve safe and comfortableness of railway stations but also to activate the commercial activities in the vicinity of stations.<br> In this paper, we constructed a multinomial logit model, which describes commuters' choice behavior of stopover-stations for eating or shopping on their way home from their workplace. More specifically, we considered commercial facilities in the vicinity of the stopover-station and the positional relationships between their home and workplace as explanatory variables. Analyzing the person trip data obtained in three different time (1988, 1998, and 2008) in Tokyo Metropolitan Area by the proposed model, we demonstrated the estimation accuracy of the model and the attractiveness of stopover-stations quantitatively. On the basis of the estimated parameters, we

DOI： 10.3130/aija.82.1561

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ISCRAM  

It is important to evaluate the effects of improving the disaster vulnerability of towns by using various indices related to human damage. In this paper, we focus on conversion of low quake-resistant old buildings. Firstly, we construct a simulation model, which describes property damage (such as building-collapse and street-blockage), wide-area evacuation behavior, and fire-brigade’s activities immediately after a large earthquake occurs. Next, using the simulation model, we estimate the travel time required for evacuation, the number of evacuees trapped on streets (or in blocks), and the access time of fire-brigades to fires in case that the ratio of quake-resistant buildings in the area increases to a certain value. Based on the results, we discuss the effects by converting old buildings into quake-resistant ones on reducing the difficulty in wide-area evacuation and improving the accessibility of fire-brigades in multiple study areas with different characteristics.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

DOI： 10.1007/978-3-319-57819-4_25

Scopus

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：AGILE  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

DOI： 10.1007/978-3-319-57819-4_25

Scopus

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ISCRAM  

It is important to evaluate the effects of improving the disaster vulnerability of towns by using various indices related to human damage. In this paper, we focus on conversion of low quake-resistant old buildings. Firstly, we construct a simulation model, which describes property damage (such as building-collapse and street-blockage), wide-area evacuation behavior, and fire-brigade’s activities immediately after a large earthquake occurs. Next, using the simulation model, we estimate the travel time required for evacuation, the number of evacuees trapped on streets (or in blocks), and the access time of fire-brigades to fires in case that the ratio of quake-resistant buildings in the area increases to a certain value. Based on the results, we discuss the effects by converting old buildings into quake-resistant ones on reducing the difficulty in wide-area evacuation and improving the accessibility of fire-brigades in multiple study areas with different characteristics.

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：AGILE  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

DOI： 10.20965/jdr.2017.p0296

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

DOI： 10.20965/jdr.2017.p0296

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：GIS Association of Japan  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：GIS Association of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

 In order to reduce human casualties, rescue activities by local residents play an important role in the chaotic times immediately after an earthquake occurs because it is difficult to expect the sufficient and quick support by public rescue teams such as firefighters, police officers and the Self-Defense Forces. Therefore, it is necessary to quantitatively understand both the effects and risk of these activities based on the numerical analyses, and concretely discuss how to perform rescue activities by local residents as part of disaster mitigation planning.<br> In this paper, we incorporate the following aspects into the wide-area evacuation simulation model which we have previously developed: (1) people trapped in a building and on a street; (2) rescue activities by local residents; (3) the behavior of people who get over the rubble of collapsed buildings; (4) the difference of the attribute of evacuees. Using this simulation model, first, we demonstrate the effectiveness of rescue activities by local residents in densely built-up wooden residential areas in the aftermath of a large earthquake. Even considering the influence of property damages (such as building-collap

DOI： 10.3130/aija.81.1345

J-GLOBAL

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：2016 DDSS Technische Universiteit Eindhoven  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

 In order to reduce human casualties, rescue activities by local residents play an important role in the chaotic times immediately after an earthquake occurs because it is difficult to expect the sufficient and quick support by public rescue teams such as firefighters, police officers and the Self-Defense Forces. Therefore, it is necessary to quantitatively understand both the effects and risk of these activities based on the numerical analyses, and concretely discuss how to perform rescue activities by local residents as part of disaster mitigation planning.<br> In this paper, we incorporate the following aspects into the wide-area evacuation simulation model which we have previously developed: (1) people trapped in a building and on a street; (2) rescue activities by local residents; (3) the behavior of people who get over the rubble of collapsed buildings; (4) the difference of the attribute of evacuees. Using this simulation model, first, we demonstrate the effectiveness of rescue activities by local residents in densely built-up wooden residential areas in the aftermath of a large earthquake. Even considering the influence of property damages (such as building-collap

DOI： 10.3130/aija.81.1345

J-GLOBAL

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：2016 DDSS Technische Universiteit Eindhoven  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

 This paper applies a spatio-temporal model to assess the variability of local parameters associated with the urban population change over time. With the Person Trip survey dataset and the detailed digital map of land use, Geographically and Temporally Weighted Regression (GTWR) is used to analyze the relationship between distributions of occupants inside residential buildings and commercial buildings in Tokyo Metropolitan Area (TMA). The outcome of the models has shown that GTWR has higher explanatory power (R<sup>2</sup>=95%) compared to global regression model (R<sup>2</sup>=0.5%) and Geographically Weighted Regression (R<sup>2</sup>=91%). Furthermore, there is a significant pattern of spatio-temporal characteristics for distribution of populations at the inner city, its neighborhoods and suburbs of Tokyo.

DOI： 10.3130/aija.81.1165

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

DOI： 10.20965/jdr.2016.p0188

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Information Processing Society of Japan  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：Fuji Technology Press Ltd.  

DOI： 10.20965/jdr.2016.p0188

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ISCRAM  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Center for Integrated Emergency Management  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Center for Integrated Emergency Management  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：ISCRAM  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

The previous studies presume that the use of emergency vehicles will be obstructed by collapsed buildings after a large earthquake. In this paper, we investigate a method for assisting fire fighters for their effective and efficient access to the locations of fires. More specifically, first, we construct a simulation model that describes the movement of fire engines under the condition of street-blockages caused by collapsed buildings. Next, using the proposed model, we attempt to evaluate the effects of street-blockage information collected by residents on improving the accessibility of fire engines. Finally, based on the simulation result, we demonstrate that the access time to the locations of fires can be effectively reduced by using the street-blockage information.

DOI： 10.3130/aija.80.465

J-GLOBAL

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：Information Processing Society of Japan  

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Elsevier  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Elsevier  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

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Language：English   Publishing type：Research paper (international conference proceedings)   Publisher：Springer  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.79.437

J-GLOBAL

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Language：Japanese   Publisher：日本建築学会  

In high-density wooden residential areas, some aspects of spatial characteristics must be improved to safeguard against high risks which may occur in a major earthquake. However, improvements have not been steadily performed due to the lack of cost-benefit analysis on improvement projects. In this paper, we evaluated past improvement projects in terms of difficulty in wide-area evacuation by using a multi-agent simulation model. Results showed that some buildings where residents have difficulty in evacuating have not been improved by these projects, and this risk can be reduced by shortening the street length which these buildings are adjacent to.

CiNii Books

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Language：English   Publishing type：Research paper (international conference proceedings)  

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Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.77.2561

J-GLOBAL

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Language：Japanese   Publisher：日本建築学会  

In the field of disaster prevention planning, it is highly important to consider the difficulty of evacuation. In order to evaluate difficulty of evacuation dealing with any possible damages by a large-scale earthquake, we construct a simulation model, which describes physical damages (such as house-collapse, city-fire, and road-blockage) and people's behavior in terms of difficulty in wide-area evacuation. Based on the results of agent based simulations, we demonstrated some new findings: (1) the difficulty in wide-area evacuation has a significant correlation respectively with the density of wooden houses and the rate of road-blockage, (2) some areas might have difficulties even if they are located near the evacuation site, (3) the number of people with difficulty varies according to occurrence-time of disaster, the characteristic of areas, and the unfavorable situation for evacuation.

CiNii Books

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Language：Japanese   Publishing type：Research paper (conference, symposium, etc.)   Publisher：GIS Association of Japan  

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Language：Japanese   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.86.357

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Language：Japanese   Publisher：Architectural Institute of Japan  

DOI： 10.3130/aija.86.357

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Language：Japanese   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publisher：Architectural Institute of Japan  

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

In this paper, we propose a method for estimating the structure and age of buildings on a building unit using machine learning from Geographic Information System (GIS) data and image data obtained from real estate data. Specifically, we proposed two models. Model1: the real estate point data (with structure and age) is spatially joined with GIS data, such as restricted areas and roads, and information in real estate data, to create training data and applying Sparse modeling (SpM). Model 2: a model that estimates the building structure and age of each building is developed by Convolutional neural network (CNN) from the image data set from real estate data. Finally, the accuracy of the developed model is verified check by demonstrating that the type of building structure and age can be classified into each type with accuracy by applying the proposed identification method.

DOI： 10.11517/pjsai.jsai2020.0_2p6gs1301

CiNii Research

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Language：Japanese   Publisher：The Japanese Society for Artificial Intelligence  

In this paper, we propose a method for estimating the structure and age of buildings on a building unit using machine learning from Geographic Information System (GIS) data and image data obtained from real estate data. Specifically, we proposed two models. Model1: the real estate point data (with structure and age) is spatially joined with GIS data, such as restricted areas and roads, and information in real estate data, to create training data and applying Sparse modeling (SpM). Model 2: a model that estimates the building structure and age of each building is developed by Convolutional neural network (CNN) from the image data set from real estate data. Finally, the accuracy of the developed model is verified check by demonstrating that the type of building structure and age can be classified into each type with accuracy by applying the proposed identification method.

DOI： 10.11517/pjsai.jsai2020.0_2p6gs1301

CiNii Research

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