Morphology of travel routes and the organization of cities
- Submitting institution
-
University of Exeter
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1836
- Type
- D - Journal article
- DOI
-
10.1038/s41467-017-02374-7
- Title of journal
- Nature Communications
- Article number
- ARTN 2229
- First page
- -
- Volume
- 8
- Issue
- 1
- ISSN
- 2041-1723
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 17
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work was published in collaboration with Google as part of their AI for Social Good programme. It uses a one-of-a-kind dataset from more than 300 cities to show that cities with hierarchical mobility attractors tend to be environmentally cleaner and healthier. It provides strong evidence to support policy change and urban designs for cities of the future. It has been featured on the Google AI blog and cited in a recent Science paper (10.1126/science.abc5096) on the impact of coordinated COVID-19 exit strategies and in the "The Keyword" https://www.blog.google/technology/health/covid-19-community-mobility-reports/. It was also featured in Spain's largest newspaper El País: https://elpais.com/sociedad/2019/10/23/actualidad/1571841310_331217.html
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -