School of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
School of Architecture, Soochow University, Suzhou 215006, China.
Int J Environ Res Public Health. 2021 Sep 17;18(18):9782. doi: 10.3390/ijerph18189782.
There is a complicated and contradictory relationship between landscape functions and human activities, especially in the suburban rural communities of metropolises. Previous studies focused on human interference to landscape function, ignoring the impact of landscape functions on human activities. Hence, the present study is focused on the impact of landscape function (based on ecosystem services) on human activities in suburban rural communities of China. The study evaluated the intensity of human activities based on big data; furthermore, the authors analyzed the spatial distribution characteristics through spatial autocorrelation, and probed into the spatial variations in the relationship between human activities and landscape functions using ordinary least squares (OLS) and geographically weighted regression (GWR) models. The result indicates that there are obvious spatial distribution differences in the intensity of human activities in suburban rural communities; that is, the intensity decreases from the inner to the outer suburban areas. Positive influencing factors of human activities are construction area, bus station, road network density, and leisure entertainment, among which, construction area is the principal driver; cultural heritage, hydrological regulation, and provision of aesthetics are negatively or positively correlated with human activities in various regions. The results offer insights for the sustainable development of rural environment in suburban areas and the big data-driven rural research.
景观功能与人类活动之间存在着复杂而矛盾的关系，尤其是在大都市的城郊农村社区。以前的研究侧重于人类对景观功能的干扰，而忽略了景观功能对人类活动的影响。因此，本研究关注的是中国城郊农村社区景观功能（基于生态系统服务）对人类活动的影响。该研究基于大数据评估了人类活动的强度；此外，作者通过空间自相关分析了其空间分布特征，并利用普通最小二乘法（OLS）和地理加权回归（GWR）模型探讨了人类活动与景观功能之间关系的空间变化。结果表明，城郊农村社区人类活动强度存在明显的空间分布差异，即从内到外郊区强度逐渐降低。人类活动的积极影响因素有建设用地、公交站、路网密度和休闲娱乐，其中建设用地是主要驱动因素；在不同区域，文化遗产、水文调节和美学提供与人类活动呈负相关或正相关。研究结果为城郊农村地区的农村环境可持续发展和大数据驱动的农村研究提供了参考。
