• 陆地表层系统模拟研究 •

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

1. 1. 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, 北京 100101;
2. 中国科学院大学, 北京 100049
• 收稿日期:2012-11-30 修回日期:2012-12-21 出版日期:2013-02-25 发布日期:2013-02-25
• 通讯作者: 王黎明(1963-),男,四川邻水人,博士,研究员。研究方向为人地系统机理与模拟。E-mail:wanglm@igsnrr.ac.cn E-mail:wanglm@igsnrr.ac.cn
• 作者简介:李淑娟(1987-),女,山东莱芜人,硕士。研究方向为人口时空分布研究。E-mail:lishujuan711@126.com
• 基金资助:

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)。

Simulation of Urban Small-area Population Space-time Distribution Based on Building Extraction: Taking Beijing Donghuamen Subdistrict as an Example

LI Shujuan1,2, WANG Liming1, DONG Nan1,2

1. 1. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
2. University of Chinese Academy of Sciences, Beijing 100049, China
• Received:2012-11-30 Revised:2012-12-21 Online:2013-02-25 Published:2013-02-25

Abstract:

Small-area population space-time distribution is the key point to urban planning, administration and warning for emergency. How to get the data of population distribution becomes the urgent task. While the urban buildings are the main place bearing population, it is necessary and meaningful to find and use the relationship between urban population and urban buildings. In this paper, buildings are extracted with high-resolution remote sensing images, and then a classification system of building functions is established. Based on the classification system, the extracted buildings are classified to 16 classes such as residential, office, financial, leisure, school, catering, accommodation, medical, business, comprehensive and then accommodating capacity coefficients of the buildings are estimated. Based on the survey and existing papers, population-attracting rate curve of buildings of all kinds of function are described. Model of space-time distribution of people is built to simulate the population distribution in Donghuamen Subdistrict of Beijing's Dongcheng District. According to the results of the simulation, the total capacity of all buildings in the target region is 693 thousands. The population distribution of 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 and 22:00 are simulated and exhibited in this paper. In order to make the results clearer, the region is divided into smaller regions: A, B, C and D, and the population quantity changes of the four regions are described as curves. Then reasons for the changes are analyzed. In the end, improvement methods for the research are discussed, i.e., finer classification system of building functions, a finer urban population bearing units classification, and a finer population-attracting rate curve of buildings.