4 datasets found
  1. Z

    MobMeter: a global human mobility data set based on smartphone trajectories

    • data.niaid.nih.gov
    • zenodo.org
    Updated Sep 4, 2024
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    Finazzi, Francesco (2024). MobMeter: a global human mobility data set based on smartphone trajectories [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6984637
    Explore at:
    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    Finazzi, Francesco
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data set is supplement to this Scientific Reports article.

    The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories.

    Metrics:

    Estimated daily average travelled distance by people.

    Estimated percentage of people who did not move during the 24 hours of the day.

    Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN).

    Covered period: from March 11, 2020 to present.

    Temporal resolution: daily.

    Temporal smoothing:

    No smoothing.

    7-day moving average.

    14-day moving average.

    21-day moving average.

    28-day moving average.

    Uncertainty: 95% bootstrap confidence interval.

    Data ownership

    Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo).

    Contribution

    Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager.

    Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.

    Repository update

    CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.

  2. MobMeter: a global human mobility data set based on smartphone trajectories

    • zenodo.org
    csv
    Updated Jun 28, 2023
    Share
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    Francesco Finazzi; Francesco Finazzi (2023). MobMeter: a global human mobility data set based on smartphone trajectories [Dataset]. http://doi.org/10.5281/zenodo.7524489
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Francesco Finazzi; Francesco Finazzi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories.

    • Metrics:
      • Estimated daily average travelled distance by people.
      • Estimated percentage of people who did not move during the 24 hours of the day.
    • Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN).
    • Covered period: from March 11, 2020 to present.
    • Temporal resolution: daily.
    • Temporal smoothing:
      • No smoothing.
      • 7-day moving average.
      • 14-day moving average.
      • 21-day moving average.
      • 28-day moving average.
    • Uncertainty: 95% bootstrap confidence interval.

    Data ownership

    Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo).

    Contribution

    • Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager.
    • Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
  3. MobMeter: a global mobility data set based on smartphone trajectories

    • zenodo.org
    csv
    Updated Jun 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Francesco Finazzi; Francesco Finazzi (2023). MobMeter: a global mobility data set based on smartphone trajectories [Dataset]. http://doi.org/10.5281/zenodo.6984638
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Francesco Finazzi; Francesco Finazzi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This data set is supplement to this Scientific Reports article.

    The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories.

    • Metrics:
      • Estimated daily average travelled distance by people.
      • Estimated percentage of people who did not move during the 24 hours of the day.
    • Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN).
    • Covered period: from March 11, 2020 to present.
    • Temporal resolution: daily.
    • Temporal smoothing:
      • No smoothing.
      • 7-day moving average.
      • 14-day moving average.
      • 21-day moving average.
      • 28-day moving average.
    • Uncertainty: 95% bootstrap confidence interval.

    Data ownership

    Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo).

    Contribution

    • Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager.
    • Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.

    Repository update

    CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.

  4. MobMeter: a global human mobility data set based on smartphone trajectories

    • zenodo.org
    csv
    Updated Jun 28, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Francesco Finazzi; Francesco Finazzi (2023). MobMeter: a global human mobility data set based on smartphone trajectories [Dataset]. http://doi.org/10.5281/zenodo.7462147
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 28, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Francesco Finazzi; Francesco Finazzi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories.

    This data set is supplement to this preprint.

    • Metrics:
      • Estimated daily average travelled distance by people.
      • Estimated percentage of people who did not move during the 24 hours of the day.
    • Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN).
    • Covered period: from March 11, 2020 to present.
    • Temporal resolution: daily.
    • Temporal smoothing:
      • No smoothing.
      • 7-day moving average.
      • 14-day moving average.
      • 21-day moving average.
      • 28-day moving average.
    • Uncertainty: 95% bootstrap confidence interval.

    Data ownership

    Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo).

    Contribution

    • Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager.
    • Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.
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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Finazzi, Francesco (2024). MobMeter: a global human mobility data set based on smartphone trajectories [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6984637

MobMeter: a global human mobility data set based on smartphone trajectories

Explore at:
Dataset updated
Sep 4, 2024
Dataset authored and provided by
Finazzi, Francesco
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

This data set is supplement to this Scientific Reports article.

The data set provides estimates of country-level daily mobility metrics (uncertainty included) for 17 countries from March 11, 2020 to present. Estimates are based on more than 3.8 million smartphone trajectories.

Metrics:

Estimated daily average travelled distance by people.

Estimated percentage of people who did not move during the 24 hours of the day.

Countries: Argentina (ARG), Chile (CHL), Colombia (COL), Costa Rica (CRI), Ecuador (ECU), Greece (GRC), Guatemala (GTM), Italy (ITA), Mexico (MEX), Nicaragua (NIC), Panama (PAN), Peru (PER), Philippines (PHL), Slovenia (SVN), Turkey (TUR), United States (USA) and Venezuela (VEN).

Covered period: from March 11, 2020 to present.

Temporal resolution: daily.

Temporal smoothing:

No smoothing.

7-day moving average.

14-day moving average.

21-day moving average.

28-day moving average.

Uncertainty: 95% bootstrap confidence interval.

Data ownership

Anonymized data on smartphone trajectories are collected, owned and managed by Futura Innovation SRL. Smartphone trajectories are stored and analyzed on servers owned by Futura Innovation SRL and not shared with third parties, including the author of this repository and his organization (University of Bergamo).

Contribution

Ilaria Cremonesi of Futura Innovation SRL is the data owner and data manager.

Francesco Finazzi of University of Bergamo developed the statistical methodology for the data analysis and the algorithms implemented on Futura Innovation SRL servers.

Repository update

CSV files of this repository are regularly produced by Futura Innovation SRL and published by the repository's author after validation.

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