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A Mobile Phone Data Visualization Tool for People Flow Analysis

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11642))

Abstract

Mobile phone data contain the information of each interaction between mobile phones and telecommunication infrastructures. These data provide a wealth of information about urban dynamics and human activities since each mobile phone can be seen as a sensor that senses the geographic position of the subscriber holder in real time. In this paper, we introduce an open-source and web-based data visualization tool for analyzing and displaying people flow information using mobile phone data. The developed tool provides users a user-friendly interface for data visualization. We demonstrate how to install and display this tool by using real mobile phone data.

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References

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Acknowledgments

The paper is partially supported by National Key R&D Program of China (2018YFB1003900) and the Fundamental Research Funds for the Central Universities, No. NS2017073.

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Correspondence to Jianqiu Xu .

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© 2019 Springer Nature Switzerland AG

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Chen, L., Chen, S., Guo, S., Yang, Y., Xu, J. (2019). A Mobile Phone Data Visualization Tool for People Flow Analysis. In: Shao, J., Yiu, M., Toyoda, M., Zhang, D., Wang, W., Cui, B. (eds) Web and Big Data. APWeb-WAIM 2019. Lecture Notes in Computer Science(), vol 11642. Springer, Cham. https://doi.org/10.1007/978-3-030-26075-0_32

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  • DOI: https://doi.org/10.1007/978-3-030-26075-0_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-26074-3

  • Online ISBN: 978-3-030-26075-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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