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Human mobility prediction from region functions with taxi trajectories

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  • Minjie Wang
  • Su Yang
  • Yi Sun
  • Jun Gao

Abstract

People in cities nowadays suffer from increasingly severe traffic jams due to less awareness of how collective human mobility is affected by urban planning. Besides, understanding how region functions shape human mobility is critical for business planning but remains unsolved so far. This study aims to discover the association between region functions and resulting human mobility. We establish a linear regression model to predict the traffic flows of Beijing based on the input referred to as bag of POIs. By solving the predictor in the sense of sparse representation, we find that the average prediction precision is over 74% and each type of POI contributes differently in the predictor, which accounts for what factors and how such region functions attract people visiting. Based on these findings, predictive human mobility could be taken into account when planning new regions and region functions.

Suggested Citation

  • Minjie Wang & Su Yang & Yi Sun & Jun Gao, 2017. "Human mobility prediction from region functions with taxi trajectories," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-23, November.
    • Handle: RePEc:plo:pone00:0188735
    DOI: 10.1371/journal.pone.0188735
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    References listed on IDEAS

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    1. Chengbin Peng & Xiaogang Jin & Ka-Chun Wong & Meixia Shi & Pietro Liò, 2012. "Collective Human Mobility Pattern from Taxi Trips in Urban Area," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
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    Cited by:

    1. Vinícius Antonio Battagello & Nei Yoshihiro Soma & Rubens Junqueira Magalhães Afonso, 2020. "Computational load reduction of the agent guidance problem using Mixed Integer Programming," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-45, June.
    2. Li, Ze-Tao & Nie, Wei-Peng & Cai, Shi-Min & Zhao, Zhi-Dan & Zhou, Tao, 2023. "Exploring the topological characteristics of urban trip networks based on taxi trajectory data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).

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