Title Page
Contents
LIST OF ABBREVIATION 15
LIST OF PUBLICATION 16
ABSTRACT 17
CHAPTER ONE INTRODUCTION 22
1.1. Introduction 22
1.2. Background 22
1.3. Problem Statement and Research Gap 28
1.4. Research objectives 33
1.4.1. General objective 33
1.4.2. Specific objectives 33
1.5. Research questions 34
1.6. Significance of the Study 34
1.7. Scope of the study 35
1.8. Research concepts 38
1.8.1. Tourist flow 38
1.8.2. Network structure 40
1.8.3. Urban agglomeration 41
1.8.4. Tourism Competitiveness 42
1.9. Organization of chapters 43
CHAPTER TWO LITERATURE REVIEW 45
2.1. Introduction 45
2.2. Urban agglomeration tourism 45
2.2.1. The concept of urban agglomeration 45
2.2.2. Urban agglomeration tourism 47
2.3. Network of tourist destinations 49
2.3.1. Research status 49
2.3.2. Influencing factors of tourism network in urban agglomeration destination 51
2.4. Tourist flow 56
2.4.1. Characteristics of tourist flow 56
2.4.2. The spatial pattern of tourist flow 58
2.4.3. Influencing factors of tourist flow 64
2.4.4. Destination tourism information search and tourist flow 67
2.5. Tourism competitiveness 69
2.5.1. Model and evaluation of Tourism Competitiveness 69
2.5.2. Collaboration and competitiveness in tourism networks 75
2.6. Theoretical framework 77
CHAPTER THREE RESEARCH METHODOLOGY 83
3.1. Background 83
3.2. Introduction 83
3.3. Research design 84
3.4. Study Area and Population 90
3.5. Data collection 94
3.5.1. Data source 94
3.5.2. Data collection method 94
3.5.3. Validity and Reliability of the Study 96
3.6. Data Analysis Methods 97
3.6.1. Spatial flow analysis[원문불량;p.76-78] 97
3.6.2. Social network analysis 99
3.6.3. Border effect analysis 104
3.6.4. Coupling coordination degree model[원문불량;p.85-86] 106
3.6.5. Information entropy weight (IEW)[원문불량;p.88-93] 108
3.6.6. Grey relational analysis 110
3.7. Conclusion 114
CHAPTER FOUR DATA ANALYSIS AND FINDINGS 116
4.1. Introduction 116
4.2. Spatial flow analysis 116
4.2.1. Comparison of the relative size of potential tourist flows 116
4.2.2. Analysis of unidirectional tourist flow relationship 119
4.2.3. Seasonal variations in tourist flows 122
4.2.4. Analysis of the Agglomeration and Diffusion of Tourist Flow 124
4.3. Social network analysis 126
4.3.1. Network-structure analysis 128
4.3.2. Node-structure analysis 143
4.4. Border effect analysis[원문불량;p.143-145] 163
4.5. Coupling analysis of tourist flow network and destination competitiveness 166
4.5.1. Index system 167
4.5.2. Determination of Index Weight 172
4.5.3. The analysis of coupling coordination degree model 175
4.5.4. Grey relation analysis 189
4.6. Conclusion 196
CHAPTER FIVE IMPLICATIONS AND CONCLUSIONS 198
5.1. Introduction 198
5.2. Recapitulation 198
5.3. Implications of the Study 200
5.3.1. Theoretical Implications 200
5.3.2. Managerial Implications 202
5.4. Limitations of the Study 204
5.5. Recommendations for Future Researches 205
5.6. Conclusion of the study 207
REFERENCE 211
APPENDIXES 14
Appendix A. City code 241
Appendix B. 5A tourist attractions in YRDUA 242
Appendix C. Raw dada and Program code 244
Appendix D. Related calculation results 258
[Table 1.1] Changes in the members of the Yangtze River Delta 38
[Table 3.1] The coupling coordination development typ[원문불량;p.86] 107
[Table 4.1] Indicators of network centralization 129
[Table 4.2] Coreness of nodes of potential tourist flow network in the YRDUA 131
[Table 4.3] Core/Periphery Class Memberships 132
[Table 4.4] Analysis of the spillover effect of each plate 141
[Table 4.5] The node's degree centrality of the tourist flow network structure 145
[Table 4.6] The node's closeness centrality of the tourist flow network structure 150
[Table 4.7] The node's betweenness centrality of the tourist flow network structure 152
[Table 4.8] The Structural hole indicators of the tourist flow network structure 155
[Table 4.9] Network indicators of tourist flow in YRDUA 158
[Table 4.10] Network characteristics and functional positioning of each tourism node 160
[Table 4.11] Network density of the three provinces 165
[Table 4.12] Index system used for evaluation of tourist flow network structure 168
[Table 4.13] Index system used for evaluation of tourism destination competitiveness 170
[Table 4.14] Weights of indexes of tourist flow network structure 173
[Table 4.15] Weights of indexes of tourism destination competitiveness 173
[Table 4.16] Coupling and coordination analysis of tourist flow network and resource management 176
[Table 4.17] Coupling and coordination analysis of tourist flow network and supporting factors 179
[Table 4.18] Coupling and coordination analysis of tourist flow network structure and situation condition 182
[Table 4.19] Coupling coordination analysis of tourist flow network and tourism... 184
[Table 4.20] The Coding of Elements and Indicators of Tourist flow network and... 191
[Table 4.21] The relational grade between each element of tourist flow network... 193
[Table 4.22] The relational degree between each element of tourism... 195
[Figure 1.1] The proportion of tourism revenue in GDP of the three provinces and... 26
[Figure 1.2] Different types of networks 40
[Figure 2.1] Single Node Destination Region 61
[Figure 2.2] Multiple Node Destination Region 62
[Figure 2.3] Chained Destination Region 63
[Figure 2.4] A model of factors influencing tourist flow 65
[Figure 2.5] The conceptual model of destination competitiveness 72
[Figure 2.6] The main elements of destination competitiveness 73
[Figure 2.7] Elements of network analysis 78
[Figure 2.8] Proposed Theoretical Framework[원문불량;p.60] 81
[Figure 3.1] A conceptual model of search behavior and forecasting 86
[Figure 3.2] Technical roadmaps of research design 90
[Figure 3.3] The location of the YRDUA in China 91
[Figure 3.4] The building of tourist flow network structure[원문불량;p.79] 100
[Figure 3.5] The system of regional tourist flow network structure 104
[Figure 4.1] Potential Tourist flow (Relative Potential Tourist flow) of Cities in... 118
[Figure 4.2] Unidirectional tourist flow relationship (Top 39 pairs) 121
[Figure 4.3] Seasonal variation of tourist flow in YRDUA 122
[Figure 4.4] The relative potential tourist flow scale of the YRDUA by quarter 124
[Figure 4.5] The agglomeration index and diffusion index of tourist flows in the YRDUA 125
[Figure 4.6] Network graph of tourist flow in YRDUA 127
[Figure 4.7] Core-periphery area density matrix 133
[Figure 4.8] Cohesive subgroups Diagram of Potential Tourist flow network in YRDUA 135
[Figure 4.9] Cohesion subgroup density matrix 136
[Figure 4.10] Image matrix 141
[Figure 4.11] The relation between the tourist flow plate in the Yangtze River Delta[그림없음] 143
[Figure 4.12] Evaluation index system of node network structure 144
[Figure 4.13] The trend of the related indexes of the coupling coordination model 189