Integrating green space measures into future town planning: A case study of Zhejiang

Research project relating measuring urban intensity regarding urban forms and performance in China. The study selected eleven towns in the northern part and coastal areas of Zhejiang Province in China, including Guali, Tangqi, Fenshui, Shipu, Zhouxiang, Simen, Longgang, Xinshi, Chongfu, Wangjiangjing,and Zeguo. The data published in this study were collected from multiple sources in 2018, including Google Maps, Open Street Map (OSM), Google Earth satellite images, the regulatory detailed planning (RDP) documents, remote sensing images, and official documents from the local government. The geographical information system incorporated various features such as buildings, transit infrastructure, and natural elements like rivers, lakes, seas, coasts, mountain valleys, grassland, and hills. The data were obtained at a resolution of 15 meters. The Open Street Map (OSM) served as a valuable source of shared vector data for roads and other built environment features in the selected towns, which were subsequently analyzed using ArcMap. The normalized difference vegetation index (NDVI) were calculated through the remote sensing images in 2018. The GDP information was collected from the Zhejiang Province yearbook in 2018.

本研究项目致力于衡量中国城市形态与绩效的都市强度。研究选取了浙江省北部及沿海地区的十一座城镇，包括瓜沥、塘栖、丰渚、石浦、周巷、泗门、龙港、新市、崇福、王江泾及泽国。本研究发布的数据于2018年从多个来源收集而来，包括谷歌地图、开放街图（OSM）、谷歌地球卫星图像、监管详细规划（RDP）文件、遥感图像以及地方政府发布的官方文件。地理信息系统整合了诸如建筑、交通基础设施以及自然要素如河流、湖泊、海洋、海岸、山谷、草原和丘陵等多种特征。数据以15米的分辨率获取。开放街图（OSM）作为共享矢量数据的有价值来源，为所选城镇的道路及其他建成环境特征提供了数据支持，随后这些数据利用ArcMap进行分析。通过2018年的遥感图像计算了归一化植被指数（NDVI）。GDP信息来源于2018年浙江省年鉴。