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Explorative Analysis of Wuhan Intra-Urban Human Mobility Using Social Media Check-In Data

Author

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  • Lin Li
  • Lei Yang
  • Haihong Zhu
  • Rongrong Dai

Abstract

Social media check-in data as a geo-tagged information source have been used for revealing spatio-temporal patterns in the field of social and urban study, such as human behavior or public issues. This paper investigates a case study and presents a new method of representing the mobility of people within a city from check-in data. By dividing the data in a temporal sequence, this study examines the overall mobility in the case study city through the gradient/difference of population density with a series of time after computing the population density from the check-in data using an incorporated Thiessen polygon method. By classifying check-in data with their geo-tags into several groups according to travel purposes, and partitioning the data according to administrative district boundaries, various moving patterns for those travel purposes in those administrative districts are identified by scrutinizing a series of spatial geometries of a weighted standard deviational ellipse (WSDE). Through deep analyses of those data by the adopted approaches, the general pattern of mobility in the case city, such as people moving to the central urban area from the suburb from 4 am to 8 am, is ascertained, and different characteristics of movement in those districts are also depicted. Furthermore, it can tell that in which district less movement is likely for a certain purpose (e.g., for dinner or entertainment). This study has demonstrated the availability of the proposed methodology and check-in data for investigating intra-urban human mobility.

Suggested Citation

  • Lin Li & Lei Yang & Haihong Zhu & Rongrong Dai, 2015. "Explorative Analysis of Wuhan Intra-Urban Human Mobility Using Social Media Check-In Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-19, August.
    • Handle: RePEc:plo:pone00:0135286
    DOI: 10.1371/journal.pone.0135286
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    References listed on IDEAS

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    Cited by:

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    2. Jiayu Wu & Qingsong He & Yunwen Chen & Jian Lin & Shantong Wang, 2020. "Dismantling the fence for social justice? Evidence based on the inequity of urban green space accessibility in the central urban area of Beijing," Environment and Planning B, , vol. 47(4), pages 626-644, May.
    3. Katarzyna Sila-Nowicka & A. Stewart Fotheringham & Urška Demšar, 2023. "Activity triangles: a new approach to measure activity spaces," Journal of Geographical Systems, Springer, vol. 25(4), pages 489-517, October.

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