【摘要】 根据北京市停车设施资源信息“一张图”建设的内容和要求，结合多源信息数据资料，利用地理信息数据处理手段，制作停车设施信息普查底图。选择与成果要求契合度最高的数据作为作业基底图层，是保证停车设施普查底图作业效率和精度的关键。基于国土变更调查数据作业单元和属性信息，结合停车设施普查底图的地块划分和属性赋值要求，对国土变更数据地类进行重分类，融合形成新的地块边界；再新建字段，将现势性、准确性高的多源数据属性信息依次挂接到相应的属性字段中，构建停车设施普查的作业基底图层；最后对提升停车设施信息普查底图作业精度、简化作业流程、实现定期动态更新进行了新的探索。更多还原

【Abstract】 According to the content and requirements of the“One Map”construction of parking facility resource information in Beijing, combining with multi-source information data, we used geographical information data processing methods to produce a base map of parking facility information census. Choosing the data with the highest compatibility with the requirements of results as the base layer for operation is the key to ensuring the efficiency and accuracy of parking facility census base map operation. Based on the task unit and attribute information of territory change survey data, combining with the requirements of land parcel division and attribute assignment in the parking facility census base map, we reclassified the land-use category of territory change data, and fused it into a new land parcel boundary. Then, we created new fields,sequentially link the current and accurate multi-source data attribute information to the corresponding attribute fields, and constructed a task base layer of parking facility census. This study proposes new explorations for improving the accuracy of parking facility information census base map operations, simplifying the workflow, and achieving regular dynamic update.更多还原