Modelling Capacity on London Underground Carriages in Light of UK Government Mandated Social Distancing Rules in Response to the Covid-19 Pandemic

  1. Justin Marley

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Abstract

The UK has been affected by the COVID-19 pandemic and London in particular has experienced a large number of cases. The London Underground is a key part of the transport for London. The UK Government has implemented social distancing rules meaning that people should be 2 metres from each other. The current paper models the impact of the social distancing on the carrying capacity of 10 different underground and overground carriages. The model determines the optimal standing and seating capacity for the different carriages and identifies logistical approaches to the seating and standing arrangements.

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  1. ScreenIT

    SciScore for 10.1101/2020.05.26.20113019: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).

    Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.

    Results from TrialIdentifier: No clinical trial numbers were referenced.

    Results from Barzooka: We did not find any issues relating to the usage of bar graphs.

    Results from JetFighter: We did not find any issues relating to colormaps.

    Results from rtransparent:
    • Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
    • Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
    • No protocol registration statement was detected.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  2. Version published to 10.1101/2020.05.26.20113019 on medRxiv