Abstract
The study of the spatio-temporal effects of urban rail transit on land-use change is significant for the collaborative simulation of land use and urban rail transit. In this paper, highresolution remote sensing images and POIs data were combined to acquire fine-scale land use information. A stepwise regression model and a land function classification method were used to investigate the spatial and temporal effects of urban rail transit on land- use change. The results indicated that low density residential land would be converted to high density residential land and commercial land under the influences of urban rail transit. The influences of rail transit on land use vary over its various stages, including planning, construction and operation. In the planning and operation stages, such influences are mostly found in suburban areas with better transport infrastructure, while in the construction stage, they are related to available areas for land development. The land function around the urban central stations has changed slightly due to the restriction of land, while the land function around the suburban stations has changed significantly. The transitions of land function will emerge when metro stations go into operation.
| Original language | English |
|---|---|
| Pages (from-to) | 850-862 |
| Number of pages | 13 |
| Journal | Dili Xuebao/Acta Geographica Sinica |
| Volume | 72 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1 May 2017 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 15 Life on Land
Keywords
- Complex land- use change
- Guangzhou City
- High- resolution remote sensing image
- POI
- Rail transit
- Spatio- temporal effects
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