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Urban development and road safety.

U Henning-Hager

    Accident; Analysis and Prevention
    |April 1, 1986
    PubMed
    Summary
    This summary is machine-generated.

    This study quantifies the complex links between urban planning, transport, and road safety. It provides a model for authorities to assess road safety impacts of planning decisions and develop targeted interventions.

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    Area of Science:

    • Urban Planning and Transport Engineering
    • Traffic Safety Research
    • Environmental and Civil Engineering

    Background:

    • Limited understanding of interdependencies between urban/transport planning and road safety hinders effective policy.
    • Urban planning authorities need tools to assess road safety impacts of planning measures and entire areas.

    Purpose of the Study:

    • To address the data deficit regarding urban planning and road safety interdependencies.
    • To enable planning authorities to evaluate road safety at the area level.
    • To develop a quantitative model for assessing road safety impacts.

    Main Methods:

    • Empirical study of 21 residential areas with 56 variables (transport, development, infrastructure, population).
    • Statistical analysis including correlation, determinant identification, and non-linear regression modeling.

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  • Development of an evaluation procedure based on variable elasticities.
  • Main Results:

    • A non-linear regression model with seven variables quantifies relationships between transport provisions, traffic, and road safety.
    • Identified 'background variables' from urban development significantly influence road safety indirectly.
    • Developed a procedure to quantify and compare contributions to road safety for actionable recommendations.

    Conclusions:

    • The developed model allows for the assessment of accident load in residential areas.
    • Urban development factors ('background variables') play a crucial role in road safety outcomes.
    • Findings provide a quantifiable basis for urban planning decisions to improve road safety.