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Assessing Structural Sources of Discrepancies Between Survey-Based and Mobile-Derived Mobility Data in Seoul

설문조사 기반 통행 데이터와 모바일 기반 통행 데이터 간의 불일치 구조적 원인 분석: 서울시를 대상으로

목차

Chapter 1 INTRODUCTION 1
1. Research Background 1
2. Research Motivation 3
3. Research Questions and Contributions 4
Chapter 2 LITERATURE REVIEW 6
1. Behavioral Dependencies in HTS and the Limitations of Aggregate-Level Comparisons 6
2. Structural Biases in Passively Collected Mobile Phone Data 8
3. Spatial Contexts Shaping the Accuracy of Mobility Data Representation 10
Chapter 3 DATA 11
1. Data Sources and Preprocessing Overview 11
2. Mobile Phone–Based LTE/5G Cellular Signaling Data (LCS) 11
3. Household Travel Survey (HTS) 15
4. Scope Alignment and HTS-LCS Comparison 16
5. TAZ-level datasets for the city of Seoul 25
Chapter 4 METHOD 27
1. Overview of Analytical Framework 27
2. Discrepancies in OD Trip Distributions 27
A. Standardized Root Mean Square Error (SRMSE) 29
B. Relative Zero-cell Ratio 30
3. Principal Component Analysis (PCA) 31
4. Linear Regression 32
A. Construction of the dependent variable: Origin–SRMSE 33
B. Model Specification 34
C. Explanatory variables 35
Chapter 5 RESULT AND DISCUSSION 37
1. OD-level Distributional Discrepancy 37
2. Results from PCA 42
3. Effects of Spatial and Survey Attributes on Origin-level Discrepancies 43
Chapter 6 CONCLUSION 47
1. Main Findings and Policy Implications 47
2. Limitations and Future Research 50
REFERENCES 53
초록 60

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