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手机位置数据中“乒乓效应”的时空特征研究

Spatial and Temporal Characteristics of the "Ping-pong Effect" in the Mobile Phone Location Data

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【作者】 赵志远张雯婷杨喜平吴升

【Author】 ZHAO Zhiyuan;ZHANG Wenting;YANG Xiping;WU Sheng;Academy of Digital China (Fujian), Fuzhou University;Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education;Fujian Collaborative Innovation Center for Big Data Applications in Governments;School of Geography and Tourism, Shaanxi Normal University;

【机构】 福州大学数字中国研究院(福建)空间数据挖掘与信息共享教育部重点实验室海西政务大数据应用协同创新中心陕西师范大学地理与旅游学院

【摘要】 “乒乓效应”是手机位置数据中一种典型的噪声数据,分析其时空分布特征对科学应对噪音数据影响、准确理解分析结果、提高手机位置数据质量具有重要意义。本研究基于速度阈值、重复跳转和频繁大幅度转向3种模式的“乒乓效应”检测方法,采用3个不同研究区(上海、西宁和深圳)的手机位置数据,构建了时间与空间易发指数,对手机数据中的“乒乓效应”进行识别,并从跳转距离特征、空间分布特征、时间分布特征3个方面进行了对比分析。结果表明:空间分布上,“乒乓效应”总体呈现出较高的空间自相关现象,表现为远郊区易发、基站密度高处不易发的特点;在时间分布特征上,呈现出白天易发、夜晚不易发的特点;同时“乒乓效应”的存在会对研究结果产生一定程度的影响。

【Abstract】 The "Ping-pong Effect" is a typical noise data in mobile phone location data. It is of great significance to analyze its typical spatial and temporal characteristics to scientifically deal with the influence of noise data, accurately understand the analysis results and improve the quality of mobile phone location data. With mobile phone location data from three different cities(Shanghai, Xining and Shenzhen), three detection methods were used to identify the "Ping-pong Effect" in mobile phone data, and to compare and analyse its jump distance characteristics, spatial distribution characteristics and temporal distribution characteristics. The results show that: In terms of spatial distribution, Ping-pong Effects shows a high spatial autocorrelation phenomenon, showing that it is easy to occur in distant suburban areas and not easy to occur at high base station density; in terms of temporal distribution characteristics, it shows that it is easy to occur during daytime and not easy to occur at night; the existence of the "Ping-pong Effect" will have a certain degree of influence on the research results.

【基金】 国家自然科学基金项目(42201500);福建省创新战略研究项目(2022R0013);福建省中青年教师教育科研项目(JAT210012);空间数据挖掘与信息共享教育部重点实验室开放基金项目(2022LSDMIS03)资助
  • 【文献出处】 测绘与空间地理信息 ,Geomatics & Spatial Information Technology , 编辑部邮箱 ,2024年03期
  • 【分类号】P208;TN929.53
  • 【下载频次】19
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