Abstract
Previous studies extensively examined the role of accessibility to metro in shaping house prices but largely overlooked the contribution of accessibility by metro. In addition, limited studies examined the moderating effect of COVID-19 on the price effects of to-metro and by-metro accessibility. Based on multilevel hedonic price and quantile regression models, this study scrutinizes the association between to-metro accessibility, by-metro accessibility, and house prices in Chengdu, China, and examines the moderating role of COVID-19 in this association. We show that by-metro accessibility significantly influences house prices. COVID-19 significantly influences the value of to-metro accessibility but marginally affects that of by-metro accessibility. The value of to-metro accessibility is disproportionately affected by the pandemic. Specifically, small or low-priced houses are less affected than big or high-priced houses. In other words, the flattening of the to-metro price gradient is more discernible for big or high-priced houses. The changing preference of residents has also been verified by the decreases in house transaction volume in metro-adjacent areas.
Original language | English |
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Article number | 103571 |
Number of pages | 16 |
Journal | Transportation Research Part D |
Volume | 114 |
Early online date | 22 Dec 2022 |
DOIs | |
Publication status | Published - Jan 2023 |
Bibliographical note
CRediT authorship contribution statementLinchuan Yang: Conceptualization, Data curation, Visualization, Writing – original draft, Project administration, Funding acquisition. Yuan Liang: Conceptualization, Investigation, Software, Writing – review & editing. Baojie He: Methodology, Writing – review & editing. Hongtai Yang: Methodology, Writing – review & editing. Dong Lin: Conceptualization, Methodology, Visualization, Writing – review & editing.
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This study was supported by the Sichuan Science and Technology Program (No. 2022JDR0178), Sichuan Youth Science and Technology Innovation Team Funding (No. 2022JDTD0005), and the National Natural Science Foundation of China (No. U20A20330). The authors are grateful to the reviewers for their constructive comments.
Data Availability Statement
Data will be made available on request.Keywords
- Transit accessibility
- Moderator
- Covid-19 Pandemic
- Property price
- Apartment price
- Housing market