Against the backdrop of rapid urbanization, traffic congestion, and rising housing pressure in China’s major cities, this study examines how urban public transportation shapes residential property values, using Hangzhou as a case study. Drawing on public goods theory and hedonic price theory, it constructs a hedonic price model based on 22 refined traffic characteristic variables derived from field surveys and statistical analysis. The analysis shows that distance-based transportation indicators outperform time-based ones in explanatory power, and that actual travel-path measures offer no improvement in model fit. Using an optimal logarithmic specification, the study ranks the influence of individual traffic characteristics and calculates their price elasticities and marginal prices, offering a rigorous empirical basis for coordinating public transport development with urban housing and spatial planning.
Analysis of the Impact of Urban Public Transportation on Housing Prices in Hangzhou
Analysis of the Impact of Urban Public Transportation on Housing Prices in Hangzhou
| Author | |
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| ISBN | |
| Publication Date | September 10, 2026 |
| Size | |
| No. of Pages | 120 |
| Binding | Paperback |
€49.00
| Author | |
|---|---|
| ISBN | |
| Publication Date | September 10, 2026 |
| Size | |
| No. of Pages | 120 |
| Binding | Paperback |
About the Author
Dr. Dongling Zhang is an academic researcher specializing in urban economics, real estate markets, and econometric modeling. He is the author of the research paper titled “Analysis of the Impact of Urban Public Transportation on Housing Prices in Hangzhou.” Dr. Zhang’s work primarily centers on the refinement of hedonic price theory and the maturation of spatial model research within modern real estate markets. Driven by the advancements in urban informatization, his current research focuses heavily on enhancing the precision of empirical data and research variables. Dr. Zhang advocates for replacing subjective human factors with quantifiable, objective metrics to minimize bias and drive more accurate, reliable conclusions in future urban development studies.
Table of Contents
T A B L E O F C O N T E N T S
ABSTRACT i
Chapter 1:
The Impact of Urban Public Transportation Accessibility on Residential Property Values: A Case Study of [城市名]
1.1 Background 1
1.2 Objectives and Content 3
1.2.1 Research Objectives 3
1.2.2 Research Content 3
1.3 Research Methodology 4
1.3.1 Methodology 4
1.3.2 Research Procedure 7
1.4 Chapter Outline 8
Chapter 2:
Literature Review
2.1 Hedonic Price Theory and Modeling 9
2.1.1 Evolution of Hedonic Price Theory 9
2.1.2 Hedonic Price Modeling 10
2.1.3 Model Estimation and Validation Techniques 12
2.2 Measurement of Urban Public Transportation Indicators 13
2.2.1 The Quasi-Public Good Nature of Mass Transit 13
2.2.2 Typology of Urban Public Mobility Systems 17
2.2.3 Measurement of Urban Public Transportation Indicators 19
2.3 The Impact of Urban Public Transportation on Housing Prices 22
2.3.1 International Empirical Findings 22
2.3.2 Domestic Empirical Research Findings 24
2.4 Chapter Summary 27
Chapter 3:
Data and Variable Description
3.1 Study Region 29
3.1.1 Delineation of the Study Area 29
3.1.2 Delineation of the Study Area 30
3.2 Data Sources 32 3.2.1 Dependent Variable Data 32
3.2.2 Independent Variable Data 34
3.3 Variable Quantification 37
3.3.1 Specification of Characteristic Variables 37
3.3.2 Quantification of Characteristic Variables 47
3.4 Chapter Summary 53
Chapter 4:
Empirical Analysis of the Impact of Urban Public Transportation on Housing Prices in Hangzhou
4.1 Model Specification 55
4.1.1 Comparative Selection of Empirical Variables 55
4.1.2 Determination of Functional Form 64
4.2 Model Diagnostics 72
4.2.1 Tests of Statistical Significance 72
4.2.2 Analysis of Variance (ANOVA) 72
4.2.3 Multicollinearity Diagnostics 73
4.2.4 Heteroscedasticity Tests 75
4.3 Results and Discussion 77
4.3.1 Analysis of Significance and Signs 77
4.3.2 Analysis of Influence Magnitude 80
4.4 Chapter Summary 84
Chapter 5:
Conclusions and Prospects
5.1 Conclusions 87
5.2 Research Limitations and Prospects 90
5.2.1 Research Limitations 90
5.2.2 Research Prospects 91
REFERENCES 93



