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Professor Jo Wood co-authors data visualisation study of London's bike hire scheme

By comparing daily use with that expected between January 6th and March 1st 2020 (“anomaly” calculated with the signed chi score), they were able to capture the effect of the COVID-19 crisis on movement patterns – where and when we see more or less bicycle activity than expected.
by John Stevenson (Senior Communications Officer)

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Professor Jo Wood of City’s giCentre, together with colleagues Ross Purves (Department of Geography, University of Zurich) and Ralph Straumann (EBP, Data Science Team, Zurich) have conducted a study using data visualisations of public bicycle use across London - specifically the use of the TfL Santander public bicycle hire scheme.

535653The team considered how numbers of bicycles at docking stations change every 10 minutes. By combining measures of docking station activity into localities around London they were able to estimate where and when travel by hire bicycle occurs.

By comparing daily use with that expected between January 6th and March 1st 2020 (“anomaly” calculated with the signed chi score), they were able to capture the effect of the COVID-19 crisis on movement patterns – where and when we see more or less bicycle activity than expected.

Professor Wood also recently revealed to the Evening Standard that close to 69k TfL bike rentals were made over the May 2020 bank holiday than any non-strike day in the history of London’s public pay-as-you-ride scheme.

Please visit this page to read their full study.

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