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- Title
基于网络大数据的城市轨道交通时空溢价效应研究.
- Authors
崔娜娜; 夏海山; 张 纯; 古恒宇
- Abstract
The premium effect of urban rail transit on surrounding residential buildings has always been a hotspot in the urban research・ Traditional research on spatio-temporal premium effect of urban rail transit has some problems, such as small sample size, short time span ol data, and neglect ol expected effects・ Taking Tianjin Metro Line 6 as an example, using web crawler housing transaction big data and employing direct comparison and hedonic price model, this paper measures the spatio-temporal premium effect of urban rail transit on the housing prices・ It is found as follows. 1) Rail transit has a significant positive effect on housing prices in terms of spatial effects, but the premium does not decrease as the distance to the rail transit station increases, but shows an n inverted U-shapedn trend that first rises and then falls. The 500〜1 000 m influence area has the largest premium, with a premium rate of 17. 2%. 2) The premium of rail transit on housing prices has a leading effect in terms of temporal effects, which has already appeared during the construction period of rail transit, and reached its peak in the first year of operation, indicating that housing prices have responded strongly to the nlandmarkn event of opening operation. 3) Due to the effect of psychological expectations, the premium effect of the opening operation of the entire rail transit is significantly lower than that in the first year of operation. The research conclusions provide decision support lor the urban comprehensive development under the TOD (transit-oriented development) mode and the npremium recoveryn strategy of urban rail transit
- Subjects
TIANJIN (China); TRANSIT-oriented development; PUBLIC transit; URBAN transit systems; HOME prices; URBAN growth; RAILROAD stations; BIG data
- Publication
Geography & Geographic Information Science, 2022, Vol 38, Issue 1, p133
- ISSN
1672-0504
- Publication type
Article
- DOI
10.3969/j.issn.1672--0504.2022.01.019