IDEAS home Printed from https://ideas.repec.org/p/osf/osfxxx/mfja8.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://osf.io/download/61e0a0d253349e025c5f8b68/
    Download Restriction: no
    File URL: https://libkey.io/10.31219/osf.io/mfja8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

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

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Calvey, J.C. & Shackleton, J.P. & Taylor, M.D. & Llewellyn, R., 2015. "Engineering condition assessment of cycling infrastructure: Cyclists’ perceptions of satisfaction and comfort," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 134-143.
    2. Synek, Stefan & Koenigstorfer, Joerg, 2018. "Exploring adoption determinants of tax-subsidized company-leasing bicycles from the perspective of German employers and employees," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 238-260.
    3. repec:cup:judgdm:v:15:y:2020:i:5:p:863-880 is not listed on IDEAS
    4. Anowar, Sabreena & Eluru, Naveen & Hatzopoulou, Marianne, 2017. "Quantifying the value of a clean ride: How far would you bicycle to avoid exposure to traffic-related air pollution?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 66-78.
    5. Chandra, Shailesh & Jimenez, Jose & Radhakrishnan, Ramalingam, 2017. "Accessibility evaluations for nighttime walking and bicycling for low-income shift workers," Journal of Transport Geography, Elsevier, vol. 64(C), pages 97-108.
    6. Patrick Vu, 2022. "Can the Replication Rate Tell Us About Publication Bias?," Papers 2206.15023, arXiv.org, revised Jul 2022.
    7. Rupi, Federico & Freo, Marzia & Poliziani, Cristian & Postorino, Maria Nadia & Schweizer, Joerg, 2023. "Analysis of gender-specific bicycle route choices using revealed preference surveys based on GPS traces," Transport Policy, Elsevier, vol. 133(C), pages 1-14.
    8. Wang, Feipeng & Wong, Wing-Keung & Wang, Zheng & Albasher, Gadah & Alsultan, Nouf & Fatemah, Ambreen, 2023. "Emerging pathways to sustainable economic development: An interdisciplinary exploration of resource efficiency, technological innovation, and ecosystem resilience in resource-rich regions," Resources Policy, Elsevier, vol. 85(PA).
    9. Diogo Abrantes & Marta Campos Ferreira & Paulo Dias Costa & Joana Hora & Soraia Felício & Teresa Galvão Dias & Miguel Coimbra, 2023. "A New Perspective on Supporting Vulnerable Road Users’ Safety, Security and Comfort through Personalized Route Planning," IJERPH, MDPI, vol. 20(4), pages 1-24, February.
    10. Andrew Gelman & Jessica Hullman & Christopher Wlezien & George Elliott Morris, 2020. "Information, incentives, and goals in election forecasts," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(5), pages 863-880, September.
    11. Congbao Xu & Jing Wang & Yanxue Li & Weijun Gao, 2023. "Evaluation and Optimization Design of Coastal Cycling Environment Based on Importance Performance Analysis," SAGE Open, , vol. 13(3), pages 21582440231, August.
    12. G. Christopher Crawford & Vitaliy Skorodziyevskiy & Casey J. Frid & Thomas E. Nelson & Zahra Booyavi & Diana M. Hechavarria & Xuanye Li & Paul D. Reynolds & Ehsan Teymourian, 2022. "Advancing Entrepreneurship Theory Through Replication: A Case Study on Contemporary Methodological Challenges, Future Best Practices, and an Entreaty for Communality," Entrepreneurship Theory and Practice, , vol. 46(3), pages 779-799, May.
    13. Lindsey Conrow & Siân Mooney & Elizabeth A Wentz, 2021. "The association between residential housing prices, bicycle infrastructure and ridership volumes," Urban Studies, Urban Studies Journal Limited, vol. 58(4), pages 787-808, March.
    14. McArthur, David Philip & Hong, Jinhyun, 2019. "Visualising where commuting cyclists travel using crowdsourced data," Journal of Transport Geography, Elsevier, vol. 74(C), pages 233-241.
    15. Lixuan Zhao & Dewei Fang & Yang Cao & Shan Sun & Liu Han & Yang Xue & Qian Zheng, 2023. "Impact-Asymmetric Analysis of Bike-Sharing Residents’ Satisfaction: A Case Study of Harbin, China," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    16. Malik, Faheem Ahmed & Egan, Robert & Dowling, Conor Mark & Caulfield, Brian, 2023. "Factors influencing e-cargo bike mode choice for small businesses," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
    17. Zuo, Ting & Wei, Heng, 2019. "Bikeway prioritization to increase bicycle network connectivity and bicycle-transit connection: A multi-criteria decision analysis approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 52-71.
    18. Rohan L Aras & Nicholas T Ouellette & Rishee K Jain, 2023. "A barrier too far: Understanding the role of intersection crossing distance on bicycle rider behavior in Chicago," Environment and Planning B, , vol. 50(8), pages 2118-2132, October.
    19. Patel, Samir J. & Patel, Chetan R., 2020. "A stakeholders perspective on improving barriers in implementation of public bicycle sharing system (PBSS)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 353-366.
    20. Lake Sagaris, 2015. "Lessons from 40 years of planning for cycle‐inclusion: Reflections from Santiago, Chile," Natural Resources Forum, Blackwell Publishing, vol. 39(1), pages 64-81, February.
    21. Loidl, Martin & Traun, Christoph & Wallentin, Gudrun, 2016. "Spatial patterns and temporal dynamics of urban bicycle crashes—A case study from Salzburg (Austria)," Journal of Transport Geography, Elsevier, vol. 52(C), pages 38-50.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:osfxxx:mfja8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.