Thesis or Dissertation Methodological Study on Structured Landscape Assessment for Landscape Planning Based on Visual Components


指導教員 : 窪田陽一
ACKNOWLEDGEMENTS IABSTRACT IITABLE OF CONTENT IIILIST OF TABLES VLIST OF FIGURES VICHAPTER ONEINTRODUCTION1.1 Background 11.2 Research strategy 21.3 Importance of the study 3CHAPTER TWOLITERATURE REVIEW2.1 Complexity 52.1.1 Visual complexity 62.2 Diversity 72.2.1 Visual diversity 72.3 Difference between complexity and diversity 82.4 Methods applied in literature to measure diversity 82.5 Methods applied in literature to measure complexity 152.6 Conclusions obtained from the past researches for the new study 192.7 Figure and background concept 202.7.1 Methods to differentiate figures and backgrounds 212.8 Taxonomic indices 26CHAPTER THREETHEORITICAL FRAMEWORK3.1 Objective 313.2 Hypothesis 313.3 Approach 313.3.1 Applicability of taxonomic diagrams 323.3.2 Applicability of taxonomic indices 35CHPTER FOURMETHODOLOGY4.1 Study area 384.2 Preparation of perspective views 394.3 Analysis of perspective views 414.4 The data arrangement 434.5 Data analysis 45CHAPTER FIVERESULTS AND DISCUSSION5.1 Identification of visual elements 475.2 Drawing taxonomic diagrams 525.3 Taxonomic entropy calculation 565.4 Statistical verification of the relationships 64CHAPTER SIXCONCLUSIONS 69RECOMMENDATIONS 71REFERENCES 72Annex
This study was conducted with the objective of finding out the perceivable effect of figures and backgrounds of the residential streetscapes, and their connections on visual complexity. The visual complexity depends on the amount of information a viewer can observe from visible area. The information includes a number of visual elements along the streetscapes, and their diversity and inter-connections. The aim of this research was to analyze the structural hierarchical visual complexity of the streetscapes, caused by varied spatial arrangement and numerous spatial connections of the perceivable visual elements. The visual elements of 70 residential streetscapes from urbanization controlled, medium urbanized and highly urbanized areas at the vicinity of Saitama University, Japan, were classified into figures and backgrounds using human perception of 20 subjects. The identified figures and backgrounds were arranged in a taxonomic diagram representing their connections. These taxonomic diagrams reflect the structural hierarchical visual complexity. Finally, taxonomic entropy was applied to statistically analyze the structural hierarchical visual complexity. When the taxonomic diagram is vertically and horizontally lengthy and the arrangement of the elements of taxonomic diagram is irregular, the complexity becomes high depicting a large number of figures whose spatial connections impart high visual complexity to the streetscapes.

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