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• W2945185767 abstract "Previous theoretical and data-driven studies on urban mobility uncovered the repeating patterns in individual and collective human behavior. This paper analyzes the travel demand characteristics of mobility networks through studying a coarse-grained representation of individual trips. Building on the idea of reducing the complexity of the mobility network, we investigate the preserved spatial and temporal information in a simplified representations of large-scale origin-destination matrices derived from more than 16 million taxi trip records from New York and Chicago. We reduce the numerous individual flows on the network into four major groups, to uncover latent collective mobility patterns in those cities. The new simplified representation of the origin-destination matrices leads to categorization of trips into distinctive flow types with specific temporal and spatial properties in each city under study. Collocation of the descriptive statistics of flow types within the two cities suggests the generalizability of the proposed approach. We extract an overall displacement metric from each of the major flows to analyze the evolution of their temporal attributes. The new representation of the demand network reveals insightful properties of the mobility system which could not have been identified from the original disaggregated representation." @default.
• W2945185767 created "2019-05-29" @default.
• W2945185767 creator A5013479513 @default.
• W2945185767 creator A5058452812 @default.
• W2945185767 creator A5086096076 @default.
• W2945185767 date "2019-05-17" @default.
• W2945185767 modified "2023-10-12" @default.
• W2945185767 title "Revealing latent characteristics of mobility networks with coarse-graining" @default.
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• W2945185767 doi "https://doi.org/10.1038/s41598-019-44005-9" @default.
• W2945185767 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6525175" @default.
• W2945185767 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31101843" @default.
• W2945185767 hasPublicationYear "2019" @default.
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