A STUDY ON SPATIAL COMPOSITION AND SPATIAL CONSCIOUSNESS OF LANDSCAPE-ARCHITECTURE BY THE CROSS-SECTIONAL INDICATION METHOD

• WOO Jongsuk

  Graduate School of Eng., The University of Tokyo

• SUZUKI Hiroki

  Dept. of Architecture, Faculty of Design and Architecture, Chiba University

• TSUMITA Hiroshi

  Dept. of Architecture, Faculty of Eng., Tokyo Denki University

Bibliographic Information

Other Title

• 断面指摘法によるランドスケープ-アーキテクチャの空間構成と空間意識に関する研究

Abstract

In this study, we developed the cross-ectional indication method that is focused on the cross-section which enable to represent of the spatial composition visually, and we made an experiment on 16 areas and 61 view point fields of landscape-architecture by using this method. The purpose of this study is to extract the spatial composition elements of landscape-architecture and to clarify the structure of the spatial composition quantitatively by applying the cross-sectional indication method. Furthermore, the purpose is extended to clarify the relation between psychological quantities and spatial composition elements through the application of 8 factors of psychological quantities based on psychological experiment. The results are summarized as follows; (1)As a result of the cross-ectional indication method analysis, it was found that there are 43 composition elements and we classified into 5 spatial elements on landscape-architecture. (2)Each composition element shows a different character of which degree to the impressing and the consciousness. (3)lt can be classified into 4 types according to proportion of indication rate of 5 spatial elements. (4)Also it can be classified into 3 types according to the reduction tendency to indication rate of elements which charactrize on each viewpoint fields. (5)As a result of correlation analysis, relations between spatial composition elements and 8 psychological factors can be explicated quantitatively. In conclusion, the results of this study will show the useful guide for planning and designing of landscape

Journal

• MERA Journal

  MERA Journal 10 (2), 11-20, 2007-05-15

  Man-Environment Research Association

Keywords

• Cross-sectional Indication method
• Landscape-architecture
• Spatial composition
• Psychological quantities
• Correlation analysis

Details

• CRID: 1390564238078648704
• NII Article ID: 110009665423
• DOI: 10.20786/mera.10.2_11
• ISSN: 24320366
• ISSN: 1341500X
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed