| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 5114580 | Habitat International | 2017 | 10 Pages |
Abstract
- 12, 732 valid house property information was collected with web crawler in Shanghai.
- Strong spatial auto-correlation exists in housing price with Moran's I of 0.92.
- OLS and GWR can explain 70% and 83% of the variation of housing price in Shanghai.
- Structural, neighborhood and accessibility attributes contribute to housing prices.
- Spatial and hedonic analysis of housing prices is significant to urban planning.
Related Topics
Social Sciences and Humanities
Social Sciences
Development
Authors
Zezhou Huang, Ruishan Chen, Di Xu, Wei Zhou,