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A geographical analysis of drunken drivers

R M Ward, W Spronz

    Journal of Studies on Alcohol
    |July 1, 1976
    PubMed
    Summary

    The nearest-neighbor spatial approach effectively mapped drunken driving arrests. This method helps understand the geographic patterns of impaired driving offenses.

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    Area of Science:

    • Spatial analysis
    • Criminology
    • Public health

    Background:

    • Drunken driving remains a significant public safety concern.
    • Understanding geographic patterns of arrests is crucial for targeted interventions.

    Purpose of the Study:

    • To evaluate the utility of the nearest-neighbor spatial approach.
    • To define the geographic distribution of individuals arrested for drunken driving.

    Main Methods:

    • Application of the nearest-neighbor spatial analysis technique.
    • Geographic mapping of arrest data for drunken driving.

    Main Results:

    • The nearest-neighbor approach successfully identified spatial clustering of arrests.
    • Defined geographic distribution patterns of drunken driving offenses.

    Conclusions:

    • The nearest-neighbor spatial approach is a valuable tool for analyzing drunken driving arrest data.
    • Findings can inform resource allocation and prevention strategies for impaired driving.

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