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A global map of travel time to cities to assess inequalities in accessibility in 2015

Author

Listed:
  • D. J. Weiss

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • A. Nelson

    (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente)

  • H. S. Gibson

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • W. Temperley

    (European Commission, Joint Research Centre, Unit D6 Knowledge for Sustainable Development and Food Security)

  • S. Peedell

    (European Commission, Joint Research Centre, Unit D6 Knowledge for Sustainable Development and Food Security)

  • A. Lieber

    (Google Inc., 1600 Amphitheatre Parkway, Mountain View)

  • M. Hancher

    (Google Inc., 1600 Amphitheatre Parkway, Mountain View)

  • E. Poyart

    (Google Inc., 1600 Amphitheatre Parkway, Mountain View)

  • S. Belchior

    (Vizzuality, Office D, Dales Brewery)

  • N. Fullman

    (Institute for Health Metrics and Evaluation, University of Washington)

  • B. Mappin

    (Centre for Biodiversity and Conservation Science, School of Biological Sciences, University of Queensland)

  • U. Dalrymple

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • J. Rozier

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • T. C. D. Lucas

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • R. E. Howes

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • L. S. Tusting

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • S. Y. Kang

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • E. Cameron

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • D. Bisanzio

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • K. E. Battle

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

  • S. Bhatt

    (Imperial College London)

  • P. W. Gething

    (Malaria Atlas Project, Big Data Institute, University of Oxford, Roosevelt Drive)

Abstract

Travel time to cities in 2015 is quantified in a high-resolution global map that will be useful for socio-economic policy design and conservation research.

Suggested Citation

  • D. J. Weiss & A. Nelson & H. S. Gibson & W. Temperley & S. Peedell & A. Lieber & M. Hancher & E. Poyart & S. Belchior & N. Fullman & B. Mappin & U. Dalrymple & J. Rozier & T. C. D. Lucas & R. E. Howes, 2018. "A global map of travel time to cities to assess inequalities in accessibility in 2015," Nature, Nature, vol. 553(7688), pages 333-336, January.
    • Handle: RePEc:nat:nature:v:553:y:2018:i:7688:d:10.1038_nature25181
    DOI: 10.1038/nature25181
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