Research on Urban Coastal Space Quality Assessment Based on Visual Perception — The Case of Qingdao, China = 시각적인식에기반한도시해안공간품질평가연구-중국청도를사례로

목차 (Table of Contents)

• TABLE OF CONTENTS
• LIST OF FIGURES xi
• LIST OF TABLES xvii
• ABSTRACT IN ENGLISH xvii
• 1.INTRODUCTION 1
• 1.1 Globalization and the Rise of Coastal Cities 1
• 1.1.1 Trends in Population Concentration and the Significance of Coastal Cities 1
• 1.1.2 Globalization and the Development Trajectory of Coastal Cities 2
• 1.1.3 Qingdao’s Urban Status and Bay Area Strategy 3
• 1.2 Advantages and Challenges of Coastal Cities 4
• 1.3 Challenges in the Spatial Design of Coastal Cities 5
• 1.3.1 The Phenomenon of Spatial Homogenization in Coastal Cities and Regional Identity 6
• 1.3.2 Balancing Aesthetic Appeal and Spatial Perception in Coastal City Design 7
• 1.3.3 Gaps in Coastal City Research 8
• 1.4 Research Objectives and Significance 9
• 1.4.1 Research Objectives 9
• 1.4.2 Research Significance 11
• 1.5 Framework 15
• 2.THEORY AND REVIEW 16
• 2.1 Coastal Urban Space 16
• 2.1.1 Spatial Characteristics of Coastal Cities 16
• 2.1.2 Types of Public Spaces in Coastal Cities 16
• 2.1.3 Spatial Hierarchy of Coastal Cities 16
• 2.2 Visual Perception Theory and Visual Quality Assessment 16
• 2.2.1 Theoretical Foundations of Visual Perception 16
• 2.2.2 Theories and Paradigms of Visual Quality Assessment 16
• 2.3 Visual Perception and Quality Research Overview of Coastal City Spaces 16
• 2.3.1 Research Progress on Visual Perception and Quality in Coastal Urban Spaces 16
• 2.3.2 Analysis of Spatial Quality Research Based on CiteSpace 16
• 3. RESEARCH METHODOLOGY 16
• 3.1 Research Process 16
• 3.1.1 Mesolevel Experiment 16
• 3.1.2 Linearlevel experiment 17
• 3.1.3 Regionallevel Experiment 19
• 3.2 Data Collection Methods 20
• 3.2.1 Field Investigation 21
• 3.2.2 Laboratory Data Collection 22
• 3.2.3 Online Data Collection 23
• 3.3 Experimental Methods 24
• 3.3.1 Field Photo Capture 25
• 3.3.2 Urban Information Data Acquisition 27
• 3.3.3 Street View Image Acquisition 29
• 3.3.4 Image Semantic Segmentation Technology 30
• 3.3.5 Machine Learning Perception Evaluation 31
• 3.4 Psychological and Physiological Experiments 32
• 3.4.1 SBE Experiment 33
• 3.4.2 SD Experiment 34
• 3.4.3 EyeTracking Experiment 36
• 3.5 Data Analysis Methods 37
• 3.5.1 GIS Data Analysis 38
• 3.5.2 Statistical Analysis 39
• 4. EVALUATION OF COASTAL URBAN SPACE VISUAL QUALITY: A CASE STUDY OF SHINAN DISTRICT 41
• 4.1 Introduction 41
• 4.2 Study Site and method 46
• 4.2.1 Study Site 46
• 4.2.1 Study Method 48
• 4.3 Analysis of Street Space Landscape Visual Quality 49
• 4.3.1 Analysis of the Overall Street Space Landscape Visual Quality in Shinan District 49
• 4.3.2 Analysis of Street Space Landscape Visual Quality in Different Districts 52
• 4.3.3 Analysis of Coastal and Inland Differences in Typical Districts 53
• 4.4 Analysis of Street Space Physical Features 55
• 4.4.1 Selection of Street Space Physical Features 55
• 4.4.2 Analysis of Overall Street Space Physical Features 59
• 4.4.3 Analysis of Physical Features in Different Districts 63
• 4.5 Analysis of the Impact of Street Physical Features on Visual Quality 66
• 4.5.1 The Relative Importance of Street Physical Features to Visual Quality 66
• 4.5.2 The Nonlinear Relationship between Visual Quality and Street Physical Features 67
• 4.6 Discussion 69
• 4.6.1 Strategies for Improving Visual Perception Quality Based on Landscape Characteristics 69
• 4.6.2 Regional Visual Landscape Enhancement Strategy 70
• 4.7 Summarize 71
• 4.7.1 Conclude 71
• 4.7.2 Research Prospects 72
• 5. EVALUATION OF COASTAL URBAN SPACE VISUAL QUALITY: A CASE STUDY OF QINGDAO COASTAL WALKWAYS 73
• 5.1 Introduction 73
• 5.2 Materials and methods 76
• 5.2.1 Study Area 76
• 5.2.2 Research method 79
• 5.3 Scenic Beauty of Qingdao’s Coastal Area 86
• 5.3.1 Overall Distribution of Scenic Beauty 86
• 5.3.2 Comparative Analysis of Scenic Beauty Across Different Areas 90
• 5.3.3 Comparative Analysis of Scenic Beauty Across Different Categories 92
• 5.4 Measurement Analysis 97
• 5.4.1Greenness vision index 97
• 5.4.2 Sea vision index 97
• 5.4.3 Sky vision index 98
• 5.4.4 Plant composition diversity 99
• 5.4.5 Riverside building density 99
• 5.4.6 Road width index 100
• 5.4.7 Landscape element diversity 100
• 5.4.8 Landscape diversity 101
• 5.4.9 Degree of enclosure 102
• 5.5 Analysis of Factors Influencing Scenic Beauty 102
• 5.5.1 Analysis of Factors Influencing Scenic Beauty 102
• 5.5.2 Construction of the Evaluation Model 103
• 5.8 EyeTracking Differences Among Various Types of Coastal Walkways 105
• 5.8.1 Heatmaps 105
• 5.8.2 Total Fixation Duration and Average Saccade Amplitude 106
• 5.8.3 Average Fixation Duration and Time to First Fixation 108
• 5.8.4 Fixation Count and Saccade Count 110
• 5.8.5 Characterization of eye movements in AOIs 112
• 5.8.5.1 112
• 5.8.6 Correlation Analysis 115
• 5.9 Discussion 116
• 5.9.1 The Impact of Natural Elements on the Scenic Beauty of Qingdao’s Coastal Walkways 116
• 5.9.2 The Impact of Artificial Elements on the Scenic Beauty of Qingdao’s Coastal Walkways 117
• 5.9.3 Analysis of Visual Attention Differences and Cognitive Processing Characteristics 117
• 5.10 Summery 119
• 5.10.1 Conclude 119
• 5.10.2 Research Prospects 120
• 6. EVALUATION OF COASTAL URBAN SPACE VISUAL QUALITY：A CASE STUDY OF BADAIGUAN HISTORIC DISTRICT 121
• 6.1 Introduction 121
• 6.2 Overview of the study 125
• 6.2.1 Study area 125
• 6.2.2 Content of the study 126
• 6.2.3 Research methods and data acquisition 127
• 6.3 Analysis of results 133
• 6.3.1 Distribution of features 133
• 6.3.2 Influence mechanisms between spatial features and SBE values 147
• 6.4 Analysis of the visual appeal of landscape elements 154
• 6.4.1 Distribution of features 154
• 6.4.2 Summary of Landscape Elements Affecting Visual Attraction 169
• 6.5 Discussion 170
• 6.5.1 The promotion strategy of visual perception environment quality 170
• 6.5.2 Street vegetation landscape improvement 171
• 6.5.3 Optimization of street elements 171
• 6.5.4 Street atmosphere construction 171
• 6.6 Conclusion 172
• 7. CONCLUSION 173
• 7.1 Conclusion 173
• 7.2 Main results 176
• 7.3 Summary 177
• REFERENCES 178
• ABDTRACT IN KOREAN 195