系统仿真学报 ›› 2020, Vol. 32 ›› Issue (10): 1874-1883.doi: 10.16182/j.issn1004731x.joss.20-FZ0325

• 仿真建模理论与方法 • 上一篇    下一篇

基于手机大数据的城市建筑物人口时空估算

胡杨, 张小咏, 肖迪   

  1. 北京信息科技大学 高动态导航技术北京市重点实验室,北京 100101
  • 收稿日期:2020-04-30 修回日期:2020-06-18 出版日期:2020-10-18 发布日期:2020-10-14
  • 作者简介:胡杨(1996-),男,安徽,硕士生,研究方向为手机大数据挖掘与应用;张小咏(1976-),女,黑龙江,博士,研究员,研究方向为遥感与手机大数据挖掘与应用。
  • 基金资助:
    国家自然科学基金(41871348),北京信息科技大学“勤信人才”培育计划(QXTCPB201903)

Estimation of Space-time of Urban Building Population Based on Mobile Phone Big Data

Hu Yang, Zhang Xiaoyong, Xiao Di   

  1. Beijing Information Science Technology University Beijing Key Laboratory of High Dynamic Navigation Technology, Beijing 100101, China
  • Received:2020-04-30 Revised:2020-06-18 Online:2020-10-18 Published:2020-10-14

摘要: 随着城市化过程的加快,掌握精细尺度上的人口分布对城市灾害评估、应急响应管理和公共资源配置具有重要意义。智能手机普及和互联网快速发展促使手机成为人类活动的传感器。提出一种基于手机大数据的城市建筑物人口估算方法,该方法基于典型区域的手机定位大数据分析了不同功能建筑物人群活动规律,计算不同使用功能建筑物的人口容纳能力,建立城市建筑物人口时空分布模型。实验结果表明,该方法基本实现了城市建筑物尺度上人口的时空分布。

关键词: 手机大数据, 人群活动规律, 应急响应, 时空分布

Abstract: With the acceleration of the urbanization process, mastering the population distribution on a fine scale is of great significance for urban disaster assessment, emergency response management and public resource allocation. The rapid development of the Internet and the popularity of smartphones have prompted mobile phones to become the sensors of human activity. A method of urban building population estimation based on mobile phone big data is proposed. The method analyzes the crowd activity law of buildings with different functions based on mobile phone positioning big data in typical areas, calculates the population capacity of different functional buildings, and establishes the spatial and temporal distribution model of urban building population. Experimental results show that the method basically achieves the spatial and temporal distribution of population on the scale of urban buildings.

Key words: mobile big data, crowd activity law, emergency response, spatiotemporal distribution

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