4.7 Article

Understanding Road Usage Patterns in Urban Areas

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SCIENTIFIC REPORTS
卷 2, 期 -, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/srep01001

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资金

  1. New England UTC Year 23 grant
  2. NEC Corporation Fund
  3. National Natural Science Foundation of China [51208520]
  4. Shenghua Scholar Program of Central South University
  5. Solomon Buchsbaum Research Fund
  6. Direct For Computer & Info Scie & Enginr [0845076] Funding Source: National Science Foundation
  7. Division Of Computer and Network Systems [0845076] Funding Source: National Science Foundation

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In this paper, we combine the most complete record of daily mobility, based on large-scale mobile phone data, with detailed Geographic Information System (GIS) data, uncovering previously hidden patterns in urban road usage. We find that the major usage of each road segment can be traced to its own - surprisingly few - driver sources. Based on this finding we propose a network of road usage by defining a bipartite network framework, demonstrating that in contrast to traditional approaches, which define road importance solely by topological measures, the role of a road segment depends on both: its betweeness and its degree in the road usage network. Moreover, our ability to pinpoint the few driver sources contributing to the major traffic flow allows us to create a strategy that achieves a significant reduction of the travel time across the entire road system, compared to a benchmark approach.

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