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Technology of Graphic & Image
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2530-2536,2542

Visual analysis of urban mobility patterns based on regional semantics

Li Rongrong1
Wang Guijuan1
Deng Haotian1
Chen Huarong1
Wu Yadong2
1. School of Computer Science & Technology, Southwest University of Science & Technology, Mianyang Sichuan 621010, China
2. School of Computer Science & Engineering, Sichuan University of Science & Engineering, Zigong Sichuan 643000, China

Abstract

To solve the problem that it was difficult to extract urban regional semantics and movement patterns, this paper proposed a visual analysis method of urban movement patterns based on regional semantics, which directly analyzed the commutes of crowds. By extracting multiple important call characteristics of users, the system employed the Gaussian mixture model to distinguish the call patterns of base stations and extract the functional information of urban areas. Furthermore, the system used the hierarchical clustering algorithm to discover the semantics of user behavior and analyzed the region user behavior rules. The method combined regional semantics and user's semantics to analyze the movement patterns of crowds between regions. The case study shows that this method can effectively discover regional functional characteristics, and the combination of data can effectively help analysts to discover inter-city movement patterns and explore user movement intentions, to get the connection between user flow patterns and functional region.

Foundation Support

国家自然科学基金资助项目(61872304)
国防基础科研计划资助项目
四川省杰出青年基金资助项目(19JCQN0108)
四川省重点研发计划资助项目(2018GZ0179)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.12.0539
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Technology of Graphic & Image
Pages: 2530-2536,2542
Serial Number: 1001-3695(2021)08-053-2530-07

Publish History

[2021-08-05] Printed Article

Cite This Article

李茸茸, 王桂娟, 邓皓天, 等. 基于区域语义的城市移动模式可视分析 [J]. 计算机应用研究, 2021, 38 (8): 2530-2536,2542. (Li Rongrong, Wang Guijuan, Deng Haotian, et al. Visual analysis of urban mobility patterns based on regional semantics [J]. Application Research of Computers, 2021, 38 (8): 2530-2536,2542. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.


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