Understanding urban mobility patterns from a spatiotemporal perspective: daily ridership profiles of metro stations
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DOI: 10.1007/s11116-018-9885-4
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- Kuby, Michael & Barranda, Anthony & Upchurch, Christopher, 2004. "Factors influencing light-rail station boardings in the United States," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(3), pages 223-247, March.
- Kay Axhausen & Andrea Zimmermann & Stefan Schönfelder & Guido Rindsfüser & Thomas Haupt, 2002. "Observing the rhythms of daily life: A six-week travel diary," Transportation, Springer, vol. 29(2), pages 95-124, May.
- Camille Roth & Soong Moon Kang & Michael Batty & Marc Barthélemy, 2011. "Structure of Urban Movements: Polycentric Activity and Entangled Hierarchical Flows," PLOS ONE, Public Library of Science, vol. 6(1), pages 1-8, January.
- Chen, Cynthia & Chen, Jason & Barry, James, 2009. "Diurnal pattern of transit ridership: a case study of the New York City subway system," Journal of Transport Geography, Elsevier, vol. 17(3), pages 176-186.
- Yang Xu & Shih-Lung Shaw & Ziliang Zhao & Ling Yin & Zhixiang Fang & Qingquan Li, 2015. "Understanding aggregate human mobility patterns using passive mobile phone location data: a home-based approach," Transportation, Springer, vol. 42(4), pages 625-646, July.
- Marta C. González & César A. Hidalgo & Albert-László Barabási, 2009.
"Understanding individual human mobility patterns,"
Nature, Nature, vol. 458(7235), pages 238-238, March.
- Marta C. González & César A. Hidalgo & Albert-László Barabási, 2008. "Understanding individual human mobility patterns," Nature, Nature, vol. 453(7196), pages 779-782, June.
- Xiping Yang & Zhiyuan Zhao & Shiwei Lu, 2016. "Exploring Spatial-Temporal Patterns of Urban Human Mobility Hotspots," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
- Sean Doherty & Eric Miller, 2000. "A computerized household activity scheduling survey," Transportation, Springer, vol. 27(1), pages 75-97, February.
- Ed Manley & Chen Zhong & Michael Batty, 2018. "Spatiotemporal variation in travel regularity through transit user profiling," Transportation, Springer, vol. 45(3), pages 703-732, May.
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- Chun, Ki Chan & Bahk, Jiwon & Kim, Heeju & Jeong, Hyeong-Chai & Kim, Gunn, 2023. "Classification of the metropolitan subway stations and spheres of influence of main commercial areas in Seoul," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
- Chen, Lijun & Zhang, Haiping & Wang, Zhiqiang, 2023. "Identification of homogenous zones using riding speed time-series to reveal the spatial structure of the urban pace," Journal of Transport Geography, Elsevier, vol. 113(C).
- Elisa Frutos-Bernal & Ángel Martín del Rey & Irene Mariñas-Collado & María Teresa Santos-Martín, 2022. "An Analysis of Travel Patterns in Barcelona Metro Using Tucker3 Decomposition," Mathematics, MDPI, vol. 10(7), pages 1-17, March.
- Feras Saad & Jacob Burnim & Colin Carroll & Brian Patton & Urs Köster & Rif A. Saurous & Matthew Hoffman, 2024. "Scalable spatiotemporal prediction with Bayesian neural fields," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
- Toger, Marina & Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2023. "Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation," Journal of Transport Geography, Elsevier, vol. 111(C).
- Jiao, Hongzan & Huang, Shibiao & Zhou, Yu, 2023. "Understanding the land use function of station areas based on spatiotemporal similarity in rail transit ridership: A case study in Shanghai, China," Journal of Transport Geography, Elsevier, vol. 109(C).
- Ma, Min & Hu, Dawei & Chien, Steven I-Jy & Liu, Jie & Yang, Xing & Ma, Zhuanglin, 2022. "Evolution assessment of urban rail transit networks: A case study of Xi’an, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 603(C).
- Fangye Du & Jiaoe Wang & Liang Mao & Jian Kang, 2024. "Daily rhythm of urban space usage: insights from the nexus of urban functions and human mobility," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
- Borowska-Stefańska, Marta & Dulebenets, Maxim A. & Horňák, Marcel & Kowalski, Michał & Kozłowski, Dominik & Turoboś, Filip & Wiśniewski, Szymon, 2023. "Assessing the effects of Sunday shopping restrictions on urban mobility patterns in Poland," Journal of Transport Geography, Elsevier, vol. 113(C).
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Keywords
Urban mobility; Ridership patterns; Smart card data; Station clustering; LCLU;All these keywords.
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