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A framework for inserting visually-supported inferences into geographical analysis workflow: application to road safety research

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  • Beecham, Roger
  • Lovelace, Robin

Abstract

Road safety research is a data-rich field with large social impacts. Like in medical research, the ambition is to build knowledge around risk factors that can save lives. Unlike medical research, road safety research generates empirical findings from messy observational datasets. Records of road crashes contain numerous intersecting categorical variables, dominating patterns that are complicated by confounding and, when conditioning on data to make inferences net of this, observed effects that are subject to uncertainty due to diminishing sample sizes. We demonstrate how visual data analysis approaches can inject rigour into exploratory analysis of such datasets. A framework is presented whereby graphics are used to expose, model and evaluate spatial patterns in observational data, as well as protect against false discovery. The framework is supported through an applied data analysis of national crash patterns recorded in STATS19, the main source of road crash information in Great Britain. Our framework moves beyond typical depictions of exploratory data analysis and helps navigate complex data analysis decision spaces characteristic of modern geographical analysis settings, generating data-driven outputs that support policy interventions and public debate.

Suggested Citation

  • Beecham, Roger & Lovelace, Robin, 2022. "A framework for inserting visually-supported inferences into geographical analysis workflow: application to road safety research," OSF Preprints mfja8, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:mfja8
    DOI: 10.31219/osf.io/mfja8
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    References listed on IDEAS

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    1. Areti Boulieri & Silvia Liverani & Kees Hoogh & Marta Blangiardo, 2017. "A space–time multivariate Bayesian model to analyse road traffic accidents by severity," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 119-139, January.
    2. G A Hindle & T Hindle & S Souli, 2009. "Modelling and assessing local area differences in road casualties: a case study in England," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 781-788, June.
    3. Meghan Winters & Gavin Davidson & Diana Kao & Kay Teschke, 2011. "Motivators and deterrents of bicycling: comparing influences on decisions to ride," Transportation, Springer, vol. 38(1), pages 153-168, January.
    4. Roger Beecham & Aidan Slingsby, 2019. "Characterising labour market self-containment in London with geographically arranged small multiples," Environment and Planning A, , vol. 51(6), pages 1217-1224, September.
    5. Jessica Hullman & Paul Resnick & Eytan Adar, 2015. "Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-25, November.
    6. Valentin Amrhein & David Trafimow & Sander Greenland, 2019. "Inferential Statistics as Descriptive Statistics: There Is No Replication Crisis if We Don’t Expect Replication," The American Statistician, Taylor & Francis Journals, vol. 73(S1), pages 262-270, March.
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    Cited by:

    1. Rowe, Francisco & Lovelace, Robin & Dennett, Adam, 2022. "Spatial Interaction Modelling: A Manisfesto," OSF Preprints xcdms, Center for Open Science.

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