基于多源数据的武汉市滨湖蓝空间价值潜力研究

以微博数据和POI数据为数据源，运用核密度估计法与加权平均法测度武汉市蓝空间中微博用户签到点与设施兴趣点分布之间的空间拟合度，并基于此评价武汉市蓝空间的空间价值潜力。研究结果表明，目前武汉市蓝空间具有良好的潜在访客数量，但硬件设施未能满足访客需求，大多数城市蓝空间的访客对蓝空间期望值和喜爱程度与它们的实际潜力不匹配，武汉市蓝空间价值潜力有待进一步挖掘。该研究结果可为未来城市蓝空间保护利用提供数据支持与依据。

Research on the Value Potential of Urban Blue Space Based on Multi-source Data

The social media data (microblog data) and points of interest for facilities (POI data) are used as data sources. The kernel density estimation method and method of weighted mean are used to measure the spatial correlation between the behavioral trajectory points of the human and distribution of points of interest for facilities in Wuhan blue space, and then the spatial value potential of Wuhan blue space is evaluated. The research results show that the current blue space in Wuhan City has a good number of potential visitors, but the hardware facilities fail to meet the needs of visitors. The expectations and preferences of most urban blue space visitors do not match their actual potential and Wuhan blue space value potential needs to be further explored. This research provides data support and basis for the development, construction, protection and utilization of urban blue space in the future.