Abstract
Applying the social network analysis (SNA) approach, this paper investigates the impact of high-speed rail (HSR) on urban housing prices from the perspective of network accessibility. Based on a sample of 285 cities in China over 2009-2017, we find a positive effect of HSR network accessibility on urban housing prices. An increase in HSR network accessibility (i.e., degree point or closeness centrality) by one standard deviation causes about a 10.3% increase in average housing prices. Evidence also suggests that this effect varies across regions and housing types. Our results are robust to different model specifications and alternative measures of HSR accessibility. The findings offer insights into the space-time economic laws with important policy implications regarding spatial disparities and regional economic convergence in China.
| Original language | English |
|---|---|
| Pages (from-to) | 84-99 |
| Number of pages | 16 |
| Journal | Transportation Research. Part A, Policy and Practice |
| Volume | 152 |
| Early online date | 19 Aug 2021 |
| DOIs | |
| Publication status | Published - 31 Oct 2021 |
Bibliographical note
This research is financially supported by the Natural Science Foundation of China (71973019, 71673033, 71973148), the Social Science Foundation of China (18ZDA005, 19ZDA082), Chongqing Social Science Planning Project (2017YBJJ024), and Fundamental Research Funds for the Central Universities (NO.2020CDJSK02PT26, NO.2019CDSKXYJG0037). The authors are solely responsible for any error or omission herein.Keywords
- Network accessibility
- High-speed railway
- Urban housing price
- Social network analysis
Access to Document
- Liu_etal_TRPA_The_Impact_Of_AAM
© 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/