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Spatial-temporal fractal of urban agglomeration travel demand

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  • He, Zhengbing

Abstract

In modern society, an urban agglomeration is a highly developed spatial form of integrated cities. Travel activities driven by various travel demands frequently take place within an urban agglomeration. Understanding urban agglomeration travel demand is a basic but significant task. The paper constructs spatial–temporal networks for urban agglomeration travel demand via spatial–temporal decomposition and makes explicit analyses of the attributes of the networks. Taiwan and taxi demand, which are a typical urban agglomeration and representative travel demand, respectively, are taken as the empirical objects of the study. It is found that the degree distributions of the spatial–temporal travel demand networks follow power laws, whose exponents monotonically decrease with the growth of the square cells that are used to divide an urban agglomeration to aggregate travel demand. Nevertheless, the fact of following power laws is not influenced by the spatial–temporal granularity of network construction, indicating a spatial–temporal fractal property of urban agglomeration travel demand. The findings contribute to understanding the nature of travel demand and human mobility in the scale of an urban agglomeration.

Suggested Citation

  • He, Zhengbing, 2020. "Spatial-temporal fractal of urban agglomeration travel demand," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    • Handle: RePEc:eee:phsmap:v:549:y:2020:i:c:s0378437120302211
    DOI: 10.1016/j.physa.2020.124503
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    as
    1. Chen, Bi Yu & Lam, William H.K. & Sumalee, Agachai & Li, Qingquan & Li, Zhi-Chun, 2012. "Vulnerability analysis for large-scale and congested road networks with demand uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(3), pages 501-516.
    2. Kang, Chaogui & Ma, Xiujun & Tong, Daoqin & Liu, Yu, 2012. "Intra-urban human mobility patterns: An urban morphology perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1702-1717.
    3. Boris A. Portnov & Moshe Schwartz, 2009. "Urban Clusters As Growth Foci," Journal of Regional Science, Wiley Blackwell, vol. 49(2), pages 287-310, May.
    4. Kerkman, Kasper & Martens, Karel & Meurs, Henk, 2018. "Predicting travel flows with spatially explicit aggregate models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 68-88.
    5. Yu Liu & Chaogui Kang & Song Gao & Yu Xiao & Yuan Tian, 2012. "Understanding intra-urban trip patterns from taxi trajectory data," Journal of Geographical Systems, Springer, vol. 14(4), pages 463-483, October.
    6. Carlo Ratti & Stanislav Sobolevsky & Francesco Calabrese & Clio Andris & Jonathan Reades & Mauro Martino & Rob Claxton & Steven H Strogatz, 2010. "Redrawing the Map of Great Britain from a Network of Human Interactions," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-6, December.
    7. Robert Lang & Paul Knox, 2009. "The New Metropolis: Rethinking Megalopolis," Regional Studies, Taylor & Francis Journals, vol. 43(6), pages 789-802.
    8. Wang, Wenjun & Pan, Lin & Yuan, Ning & Zhang, Sen & Liu, Dong, 2015. "A comparative analysis of intra-city human mobility by taxi," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 134-147.
    9. Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009. "Understanding individual human mobility patterns," Nature, Nature, vol. 458(7235), pages 238-238, March.
    10. Tang, Jinjun & Liu, Fang & Wang, Yinhai & Wang, Hua, 2015. "Uncovering urban human mobility from large scale taxi GPS data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 140-153.
    11. Xiao-Yong Yan & Wen-Xu Wang & Zi-You Gao & Ying-Cheng Lai, 2017. "Universal model of individual and population mobility on diverse spatial scales," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    12. Ruiqi Li & Lei Dong & Jiang Zhang & Xinran Wang & Wen-Xu Wang & Zengru Di & H. Eugene Stanley, 2017. "Simple spatial scaling rules behind complex cities," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
    13. Cai, Hua & Zhan, Xiaowei & Zhu, Ji & Jia, Xiaoping & Chiu, Anthony S.F. & Xu, Ming, 2016. "Understanding taxi travel patterns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 590-597.
    14. Liang, Xiao & Zheng, Xudong & Lv, Weifeng & Zhu, Tongyu & Xu, Ke, 2012. "The scaling of human mobility by taxis is exponential," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2135-2144.
    15. D. Brockmann & L. Hufnagel & T. Geisel, 2006. "The scaling laws of human travel," Nature, Nature, vol. 439(7075), pages 462-465, January.
    16. Riccardo Gallotti & Armando Bazzani & Sandro Rambaldi & Marc Barthelemy, 2016. "A stochastic model of randomly accelerated walkers for human mobility," Nature Communications, Nature, vol. 7(1), pages 1-7, November.
    17. Wang, Yaoli & Kutadinata, Ronny & Winter, Stephan, 2019. "The evolutionary interaction between taxi-sharing behaviours and social networks," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 170-180.
    18. Liu, Xi & Gong, Li & Gong, Yongxi & Liu, Yu, 2015. "Revealing travel patterns and city structure with taxi trip data," Journal of Transport Geography, Elsevier, vol. 43(C), pages 78-90.
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    3. He, Zhengbing, 2021. "Portraying ride-hailing mobility using multi-day trip order data: A case study of Beijing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 152-169.

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