BEHAVIOR AND RECOGNITION OF SPACES IN MODEL LABORATORY : A study on walking environments for visually-handicapped people Part 2

義浩, 亀谷; 弘吉, 知花; 兵一郎, 荒木

doi:10.3130/aija.70.79_2

Cited by 5 publications

(6 citation statements)

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“…Amongst the squares, the 10m square space is the most difficult to recognize; amongst the rectangles, the 6m space is easiest; and amongst the polygons, the equilateral pentagon is most difficult. (6) Because there are few clues to direction or shape of space in an experimental space, the subjects' behavior trying to get a clue from the wall could be seen. Search behavior and clues to recognition could be classified into eleven categories, and within each category there are several scenarios.…”

Section: Discussionmentioning

confidence: 99%

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Walking Environments for the Visually Handicapped: Recognition of Geometric Model Spaces in a Laboratory

Kametani

Kishigami

Chibana

2006

Journal of Asian Architecture and Building Engineering

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In daily life it is not safe for visually handicapped people to walk alone as they can often fall victim to accidents or lose their way. In order to improve walking environments, it is important to show clearly how visually handicapped people recognize spaces and their position in spaces, and what the clues to recognition are.In this study, in order to clarify the relation between spatial cognition and space form, and the characteristics of search behavior, experiments are carried out using model spaces based on specific geometric plan. The behavior is analyzed with the aid of a walking locus and observation; and the spatial cognition, by sketch map and interview.

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Section: Discussionmentioning

confidence: 99%

“…Therefore, a strict theoretical approach is needed. Our team previously carried out a series of theoretical studies 6,7) on the visually handicapped under laboratory conditions. In these studies, characteristics of spatial cognition were clarified in square and corridor model spaces.…”

Section: Theoretical Approachmentioning

confidence: 99%

Walking Environments for the Visually Handicapped: Recognition of Geometric Model Spaces in a Laboratory

Kametani

Kishigami

Chibana

2006

Journal of Asian Architecture and Building Engineering

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“…Therefore, a strict theoretical approach is also needed. In our previous studies, [1][2][3][4] carried out under laboratory conditions, the characteristics of spatial cognition were clarified in 'square and corridor model spaces'. Furthermore, the 'relation between spatial cognition and basic space forms' was shown.…”

Section: Theoretical Approachmentioning

confidence: 99%

“…In our previous studies [1][2][3][4] on the spatial cognition of the visually handicapped, a number of factors were explored and clarified: for example, we looked at the various forms of search behavior exhibited by the subjects in navigating space; in addition, we analyzed the criteria applied by the subjects when analyzing/ "recognizing" this space and, thus, deciding on a walking route.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Cognition of the Visually Handicapped: Case Study of Geometric Model Spaces with a Center Core

Kametani

Kishigami

Chibana

2006

Journal of Asian Architecture and Building Engineering

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Our team previously carried out a series of studies [1][2][3][4] on the spatial cognition of the visually handicapped. From these studies we ascertained that the visually handicapped are able to navigate space by walking across it -in effect, by "taking a shortcut" -to reach their destination. However, under conditions where the visually handicapped are unable to navigate space in this way -because their path has been obstructed by an "obstacle" -it is not so clear how they recognize this space, their position in it, nor what clues to aid their recognition.In this study, in order to clarify the characteristics of their spatial cognition and search behavior in such spaces, experiments are carried out in 12 kinds of geometric model spaces with a center core. The behavior of the visually handicapped is analyzed by walking locus and observation; and the spatial cognition, by sketch map and interview.

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Proposal of a classification method for public space usage based on pedestrian trajectory data

MASUMURA

Sadohara

2023

Japan Architectural Review

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Herein, we propose a machine learning method based on pedestrian trajectory data to classify public space usage states and discriminate unknown usage states. Assuming that there are several frequent patterns in the usage state of public spaces, each element of the data set representing the usage state of public spaces can be classified into several clusters. Each cluster is defined as a “type” of usage state. They were classified into usage state “types” via principal component analysis and x‐means clustering. We employed data from the detection and recording of pedestrian trajectories by six 3D laser (LiDAR) sensors, conducted by the authors during the summer of 2019 in a public space in Yokohama, Japan. In the training phase, we defined “types” of usage states based on the data obtained for 3 weeks. In the test phase, the “type” of usage state was determined for the data of other periods. Consequently, 16 types that appeared at specific times and days were identified, and 1.1% of the test data were determined to be “new usage states,” which were not found in the training data. This method helps understand long‐term and complex variations in public space utilization patterns.

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BEHAVIOR AND RECOGNITION OF SPACES IN MODEL LABORATORY : A study on walking environments for visually-handicapped people Part 2

Cited by 5 publications

References 0 publications

Walking Environments for the Visually Handicapped: Recognition of Geometric Model Spaces in a Laboratory

Walking Environments for the Visually Handicapped: Recognition of Geometric Model Spaces in a Laboratory

Spatial Cognition of the Visually Handicapped: Case Study of Geometric Model Spaces with a Center Core

Proposal of a classification method for public space usage based on pedestrian trajectory data

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