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Statistical properties of urban mobility from location-based travel networks

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  • Tang, Jinjun
  • Zhang, Shen
  • Zhang, Wenhui
  • Liu, Fang
  • Zhang, Weibin
  • Wang, Yinhai

Abstract

This study explores urban mobility from a network-based perspective. The data samples used in study were collected from more than 1100 taxi drivers during a half year period in the city of Harbin in China. We extract trips from the original dataset and analyze operational efficiency. Then, by constructing travel networks based on occupied and vacant taxi trips, we calculate some statistical properties of the network such as degree, strength, edge weight, betweenness, clustering coefficient and network structure entropy. Analysis of such properties allows for a deep exploration of travel mobility. We also analyze the correlation between strength and betweenness to evaluate the importance of nodes in the network. Furthermore, two traditional community detection algorithms: the Louvain method and the visualization of similarities (VOS) method are applied to divide traffic zones in the mainland area of Harbin city. Two indices, the Rand index (RI) and the Fowkles–Mallows index (FMI) are adopted to evaluate recognition performance, which shows the similarity between administrative division and results from the algorithms. Finally, a dilatation index based on the weighted average distance among trips is applied to analyze the spatial structure of an urban city. Furthermore, hotspots are identified from local density of locations with different thresholds as determined by the Lorenz curve.

Suggested Citation

  • Tang, Jinjun & Zhang, Shen & Zhang, Wenhui & Liu, Fang & Zhang, Weibin & Wang, Yinhai, 2016. "Statistical properties of urban mobility from location-based travel networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 694-707.
    • Handle: RePEc:eee:phsmap:v:461:y:2016:i:c:p:694-707
    DOI: 10.1016/j.physa.2016.06.031
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    References listed on IDEAS

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    3. Tang, Jinjun & Liang, Jian & Zhang, Shen & Huang, Helai & Liu, Fang, 2018. "Inferring driving trajectories based on probabilistic model from large scale taxi GPS data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 566-577.
    4. Yong, Nuo & Ni, Shunjiang & Shen, Shifei & Ji, Xuewei, 2020. "A study of fluctuations in subway traffic from the control properties of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    5. Yan, Ying & Zhang, Shen & Tang, Jinjun & Wang, Xiaofei, 2017. "Understanding characteristics in multivariate traffic flow time series from complex network structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 477(C), pages 149-160.
    6. Liu, Fagui & Zhang, Zhijie, 2017. "Adaptive density trajectory cluster based on time and space distance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 484(C), pages 41-56.
    7. Zong, Fang & Tian, Yongda & He, Yanan & Tang, Jinjun & Lv, Jianyu, 2019. "Trip destination prediction based on multi-day GPS data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 258-269.
    8. Wang, Jin-Fa & He, Xuan & Si, Shuai-Zong & Zhao, Hai & Zheng, Chunyang & Yu, Hao, 2019. "Using complex network theory for temporal locality in network traffic flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 722-736.
    9. Tang, Jinjun & Zhang, Shen & Chen, Xinqiang & Liu, Fang & Zou, Yajie, 2018. "Taxi trips distribution modeling based on Entropy-Maximizing theory: A case study in Harbin city—China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 430-443.
    10. Zhang, Shen & Liu, Xin & Tang, Jinjun & Cheng, Shaowu & Qi, Yong & Wang, Yinhai, 2018. "Spatio-temporal modeling of destination choice behavior through the Bayesian hierarchical approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 537-551.
    11. Zhang, Shen & Tang, Jinjun & Wang, Haixiao & Wang, Yinhai & An, Shi, 2017. "Revealing intra-urban travel patterns and service ranges from taxi trajectories," Journal of Transport Geography, Elsevier, vol. 61(C), pages 72-86.
    12. Jinzhou Cao & Qingquan Li & Wei Tu & Feilong Wang, 2019. "Characterizing preferred motif choices and distance impacts," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-17, April.

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