A dataset of major urban park in Wuhan in 2021

Urban park data have been widely applied to urban planning and management. The availability of urban park has also been viewed as one of the indicators for supporting sustainable development goals adopted by the United Nations. However, currently there still is a lack of open urban park dataset. To fill this gap, this study aims to produce a dataset of major urban parks of Wuhan in 2021. This dataset was produced based on multi-source data, including OpenStreetMap, POI and Google Earth image. This dataset was also compared with the report-"The Major Urban Parks of Wuhan in 2021". We found that the correlation coefficient between the areas of urban parks for our dataset and the official report is as high as 0.96, which verified the effectiveness of our dataset. The approach of using multi-source data for acquiring urban park data has beneficial for reducing time-consuming and labor-intensive manual work; more important, this approach may also be used for acquiring urban park data of other cities. The dataset was saved in an ESRI shapefile format, and it includes multiple attribute information, e.g., id, name, address, latitude and longitude coordinates, as well as park area. The year of this dataset is 2021.

城市公园数据已广泛应用于城市规划与管理领域。城市公园的供给情况也被视为支撑联合国通过的可持续发展目标的重要指标之一。然而目前公开可用的城市公园数据集仍较为匮乏。为填补这一空白，本研究旨在构建2021年武汉市主要城市公园数据集。本数据集基于多源数据构建，涵盖开放街道地图（OpenStreetMap）、兴趣点（Point of Interest，POI）以及谷歌地球影像。本数据集同时与《2021年武汉市主要城市公园》官方报告进行了比对验证。结果显示，本数据集的公园面积与官方报告的相关系数高达0.96，证实了本数据集的有效性。采用多源数据获取城市公园数据的方法，不仅能够减少耗时耗力的人工劳作，更为重要的是，该方法可推广至其他城市的城市公园数据采集工作。本数据集以ESRI形状文件（ESRI shapefile）格式存储，包含多项属性信息，如公园编号、名称、地址、经纬度坐标以及公园面积。本数据集的时间基准为2021年。