Speaker
Description
High-speed rail (HSR) has been identified as a crucial catalyst for urban development; however, its impact varies across cities. HSR new towns planned in proximity to the HSR stations may offer an opportunity for stimulating compact land development around the stations, although the extent to which this will occur remains uncertain. This study developed three indicators for evaluating long-term land cover changes around 50 HSR stations in the Yangtze River Delta region of China between 2008 and 2020. The indicators encompass changes in the size of built-up land (BL), compactness degree (CD), and nighttime light intensity (NI) over the specified period. A latent class analysis with covariates was employed to investigate the factors influencing the heterogeneous land development of the stations. Two latent classes of station development patterns, urban renewal stations and greenfield development stations, were identified based on the three indicators. The station location in terms of relative distance to the city center, the station construction types, and the administrative level of the station city are the primary explanatory factors for the two classes. This study developed a universal framework for evaluating the compactness of land development in the area around HSR stations over a time period and analyzing the potential contributing factors of land cover changes based on multi-indicators. These findings provide an empirical basis for the development of future HSR stations and the integrated development of the stations and their host cities.
| Keywords | high-speed rail; station area; land cover change; latent class analysis |
|---|---|
| Best Congress Paper Award | No |
