城市建筑物人口时空分布模型与实验分析——以北京东华门街道为例

发布时间：2018-05-06 07:43

本文选题：城市人口 + 城市建筑物　；参考：《地球信息科学学报》2013年01期

【摘要】：精细尺度上的城市人口分布是解决城市规划与管理、预警与应急等问题的关键。研究精细尺度上城市人口的时空分布需要还原与模拟城市人口与城市建筑物之间的关系。本文利用高分辨率遥感影像提取城市精细尺度的建筑物信息,建立了适用于城市人口分布研究的城市建筑物功能分类体系,并获取了不同使用功能的建筑物人口容纳系数;在实际调查和前人研究的基础上得到不同使用功能的城市建筑物人口吸引率曲线,建立城市建筑物人口分布模型,实现城市精细尺度上的人口分布情况的模拟。以北京东华门街道为例,对16个时间点(0∶00、6∶00、7∶00、8∶00、9∶00、10∶00、11∶00、12∶00、13∶00、14∶00、15∶00、16∶00、17∶00、18∶00、19∶00、22∶00)的城市建筑物人口分布情况进行了模拟,并根据建筑物功能的聚集及道路空间分割情况划分为4个区域进行了人口数量变化分析和原因探讨。最后,讨论了研究中存在的问题,并提出了增加实际调查数据等可能的改进方法。
[Abstract]:The distribution of urban population on fine scale is the key to solve the problems of urban planning and management, early warning and emergency. To study the spatial and temporal distribution of urban population on fine scale, it is necessary to restore and simulate the relationship between urban population and urban buildings. In this paper, the high-resolution remote sensing image is used to extract the building information of urban fine scale, and the classification system of urban building function is established, which is suitable for the study of urban population distribution, and the population accommodation coefficient of buildings with different functions is obtained. On the basis of actual investigation and previous studies, the population attraction rate curves of urban buildings with different functions are obtained, and the population distribution model of urban buildings is established to simulate the population distribution on the fine scale of the city. Taking the Donghuamen street in Beijing as an example, the population distribution of urban buildings in 16 points at 0: 00: 6: 00, 7: 00, 8: 00, 10: 00, 10: 00, 10: 00, 11: 00, 12: 00, 13: 00, 14: 00, 15: 00, 16: 00, 16: 00, 17: 00, 18: 00, 19: 19: 00, 22: 00. According to the aggregation of the building function and the partition of the road space, the population quantity change analysis and the reason are discussed. Finally, the existing problems in the research are discussed, and the possible improvement methods such as increasing the actual investigation data are put forward.
【作者单位】：中国科学院地理科学与资源研究所资源环境信息系统国家重点实验室;中国科学院大学;
【基金】：国家科技支撑计划课题“全国主体功能区划辅助决策支持技术及系统集成研究” 中国科学院重点部署项目子课题“全球基础地理要素科学数据收集及全球基础设施数据集构建”(KZZD-EW-08-03-03)
【分类号】：C922

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