Revealing latent characteristics of mobility networks with coarse-graining.

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 cate

SUBMITTER: Hamedmoghadam H 

PROVIDER: S-EPMC6525175 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature