School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China.
Institute of Land Resources and Coastal Zone, Guangzhou University, Guangzhou 510006, China.
Int J Environ Res Public Health. 2022 Feb 17;19(4):2323. doi: 10.3390/ijerph19042323.
Dockless bike-sharing systems have become one of the important transport methods for urban residents as they can effectively expand the metro's service area. We applied the ordinary least square (OLS) model, the geographically weighted regression (GWR) model and the multiscale geographically weighted regression (MGWR) model to capture the spatial relationship between the urban built environment and the usage of bike-sharing connected to the metro. A case study in Beijing, China, was conducted. The empirical result demonstrates that the MGWR model can explain the varieties of spatial relationship more precisely than the OLS model and the GWR model. The result also shows that, among the proposed built environment factors, the integrated usage of bike-sharing and metro is mainly affected by the distance to central business district (CBD), the Hotels-Residences points of interest (POI) density, and the road density. It is noteworthy that the effect of population density on dockless bike-sharing usage is only significant at weekends. In addition, the effects of the built environment variables on dockless bike-sharing usage also vary across space. A common feature is that most of the built environment factors have a more obvious impact on the metro-oriented dockless bike-sharing usage in the eastern part of the study area. This finding can provide support for governments and urban planners to efficiently develop a bike-sharing-friendly built environment that promotes the integration of bike-sharing and metro.
无桩共享单车系统已成为城市居民的重要交通方式之一，因为它们可以有效地扩大地铁的服务范围。我们应用普通最小二乘法（OLS）模型、地理加权回归（GWR）模型和多尺度地理加权回归（MGWR）模型来捕捉城市建成环境与与地铁相连的共享单车使用之间的空间关系。以中国北京为例进行了实证研究。实证结果表明，MGWR 模型比 OLS 模型和 GWR 模型更能准确地解释空间关系的多样性。结果还表明，在所提出的建成环境因素中，共享单车与地铁的综合使用主要受距离中心商务区（CBD）、酒店-住宅兴趣点（POI）密度和道路密度的影响。值得注意的是，人口密度对无桩共享单车使用的影响仅在周末显著。此外，建成环境变量对无桩共享单车使用的影响在空间上也存在差异。一个共同的特点是，大多数建成环境因素对研究区域东部以地铁为导向的无桩共享单车使用的影响更为明显。这一发现可以为政府和城市规划者提供支持，以有效地开发有利于共享单车发展的建成环境，促进共享单车与地铁的融合。
