| 摘要: |
| 城市兴趣点(Point of Interest，POI)数据主要是指涵盖城市交通设施、餐饮设施、学校、风景名胜区等具有地理实体的城市设施的位置与属性信息。基于POI数据，通过数据重分类与赋值，将上海城市空间分为绿色基础设施辐射区、道路与交通服务区、公共服务设施区、居住区、商业区、工业区六大类，分别研究现有不同分类下城市功能辐射程度与范围，并在此基础上从横向6类空间之间与纵向绿地建设深度2个角度评价上海绿地空间结构。并基于用地现状图对功能区识别图进行验证，结果表明，基于POI数据的城市用地识别与绿地评价图准确度较高、分类更为细致，具有实际应用价值。 |
| 关键词: 风景园林 兴趣点数据 城市规划 城市绿地 大数据 |
| DOI： |
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| 基金项目: |
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| Urban Functional Zone Recognition and Green Space Evaluation of Shanghai Based on POI Data |
| JIANG Jiayi,DAI Fei,ZHANG Junhua |
| Abstract: |
| The POI (Point of interest) data mainly refers to the location information and attribute information of urban facilities which covered by the urban traffic facilities, dining facilities, schools, and scenic spots. This study is based on the POI data and uses the classification and assignment of the data to classify the Shanghai urban space into six categories such as green infrastructure radiative zone, road and transportation services, public service facility, residence zone, business zone, and industrial park. In addition, the study does the research about the radiation level and scope of the city function respectively, and based on this we can judge the space structure of the green belt of Shanghai from the horizontal six categories space and depth of the vertical green belts construction. Furthermore, based on the land status map the study verifies the recognition chart of the functional zone and it shows that it is more accurate, with more detailed classification and has more practical use value based on the evaluation map of urban land recognition and green belts evaluation chart of the POI data. |
| Key words: landscape architecture point of interest urban planning urban green space big data |
