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Environmental characteristics associated with pedestrian-motor vehicle collisions in Denver, Colorado

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  • Sebert Kuhlmann, A.K.
  • Brett, J.
  • Thomas, D.
  • Sain, S.R.

Abstract

Objectives. We examined patterns of pedestrian-motor vehicle collisions and associated environmental characteristics in Denver, Colorado. Methods. We integrated publicly available data on motor vehicle collisions, liquor licenses, land use, and sociodemographic characteristics to analyze spatial patterns and other characteristics of collisions involving pedestrians. We developed both linear and spatially weighted regression models of these collisions. Results. Spatial analysis revealed global clustering of pedestrian-motor vehicle collisions with concentrations in downtown, in a contiguous neighborhood, and along major arterial streets. Walking to work, population density, and liquor license outlet density all contributed significantly to both linear and spatial models of collisions involving pedestrians and were each significantly associated with these collisions. Conclusions. These models, constructed with data from Denver, identified conditions that likely contribute to patterns of pedestrian-motor vehicle collisions. Should these models be verified elsewhere, they will have implications for future research directions, public policy to enhance pedestrian safety, and public health programs aimed at decreasing unintentional injury from pedestrian-motor vehicle collisions and promoting walking as a routine physical activity.

Suggested Citation

  • Sebert Kuhlmann, A.K. & Brett, J. & Thomas, D. & Sain, S.R., 2009. "Environmental characteristics associated with pedestrian-motor vehicle collisions in Denver, Colorado," American Journal of Public Health, American Public Health Association, vol. 99(9), pages 1632-1637.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2007.131961_4
    DOI: 10.2105/AJPH.2007.131961
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    Cited by:

    1. Elizabeth Delmelle & Jean-Claude Thill & Hoe-Hun Ha, 2012. "Spatial epidemiologic analysis of relative collision risk factors among urban bicyclists and pedestrians," Transportation, Springer, vol. 39(2), pages 433-448, March.
    2. Nadine Schuurman & Blake Byron Walker & David Swanlund & Ofer Amram & Natalie L. Yanchar, 2020. "Qualitative Field Observation of Pedestrian Injury Hotspots: A Mixed-Methods Approach for Developing Built- and Socioeconomic-Environmental Risk Signatures," IJERPH, MDPI, vol. 17(6), pages 1-15, March.
    3. Stephen J. Ball & Peter Jacoby & Stephen R. Zubrick, 2013. "Socioeconomic Status Accounts for Rapidly Increasing Geographic Variation in the Incidence of Poor Fetal Growth," IJERPH, MDPI, vol. 10(7), pages 1-15, June.
    4. Dongkwan Lee & Jean-Michel Guldmann & Burkhard von Rabenau, 2018. "Interactions between the built and socio-economic environment and driver demographics: spatial econometric models of car crashes in the Columbus Metropolitan Area," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 22(1), pages 17-37, January.

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