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

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 pat...

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Published in:American Journal of Public Health Vol. 99; no. 9; pp. 1632 - 1638
Main Authors: Kuhlmann AKS, Brett J, Thomas D, Sain SR
Format: research tables/charts Journal Article
Published: American Public Health Association Sep2009
Online Access:View this record in EBSCOhost
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    pubinfo:
      dt: Sep2009
      vid: 99
      iid: 9
      pid: 44
      pub: American Public Health Association
      place: Washington, District of Columbia
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      tig:
        atl: Environmental characteristics associated with pedestrian-motor vehicle collisions in Denver, Colorado.
      aug:
        au:
          Kuhlmann AKS
          Brett J
          Thomas D
          Sain SR
        affil: Health and Behavioral Sciences Program, University of Colorado Denver, CO 80217-3364, USA.
      sug:
        subj:
          Accidents, Traffic Risk Factors
          Environment
          Maps
          Planning Techniques
          Residence Characteristics
          Spatial Perception
          Walking
          Administrative Research
          Alcoholic Intoxication
          Cluster Analysis
          Colorado
          Cross Sectional Studies
          Food Services
          Linear Regression
          Logistic Regression
          Models, Statistical
          Public Policy
          Safety
      ab: 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.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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