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All source of R codes for the replication of our results and figures on the paper, paper prepared to the journal of Transportation Research Part C: Emerging Technologies

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wondolee/covid19-eng-lockdown

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Introduction

This is a repository to provide R codes with public datasets necessary for the replication of the analysis results and figures on the paper entitle to "Trajectories of mobility reduction during England's first national COVID-19 lockdown", prepared to the journal of Sustainable Cities and Society..

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Running the R Code

Please check the instructions on the code folder in advance.

License

This work is free. You can modify under a CC-BY-ND 4.0 International license. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowlegements

The authors would like to thank CKDelta company as the project partner of “Oxford COVID-19 Impact Monitor”, to provide a wide array of anonymised and aggregated data. This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

For more information on this research project, please contact Won Do Lee

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All source of R codes for the replication of our results and figures on the paper, paper prepared to the journal of Transportation Research Part C: Emerging Technologies

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