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计算机系统应用英文版:2018,27(5):73-79
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基于手机大数据的动态人口感知
(北京交通大学 计算机与信息技术学院 交通数据分析与挖掘北京市重点实验室, 北京 100044)
Dynamic Population Perception Based on Mobile Phone Big Data
(Beijing Key Lab of Traffic Data Analysis and Mining, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China)
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Received:July 28, 2017    Revised:September 15, 2017
中文摘要: 随着通信市场迅速发展和手机的高普及率,利用手机数据研究人类活动和城市规划发展成为可能.本文主要工作是构建了大数据实时处理分析平台,并基于此平台提出了一种利用手机数据感知城市人口分布的方法.通过实验表明,基于手机数据的动态人口感知能够反映实际城市人口分布,对于城市交通监管、公共资源配置优化等方面具有重要意义.
Abstract:With the rapid development of the communication market and the high penetration rate of mobile phones, it is possible to use mobile phone data to study the development of human activities and urban planning. The main work of this study is to build a big data real-time processing analysis platform, and based on this platform proposes a method to understand the urban population distribution by using of mobile data. Experiments show that dynamic population perception based on mobile phone signaling data can reflect the actual urban population distribution, which is of great significance to urban traffic regulation and public resource allocation optimization.
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基金项目:教育部-中移动科研基金(MCM20150513)
引用文本:
杨皓斐,曹仲,李付琛.基于手机大数据的动态人口感知.计算机系统应用,2018,27(5):73-79
YANG Hao-Fei,CAO Zhong,LI Fu-Chen.Dynamic Population Perception Based on Mobile Phone Big Data.COMPUTER SYSTEMS APPLICATIONS,2018,27(5):73-79