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      • The traffic fatality rate (fatalities/population) is the product of vehicles per person (V/P) and fatalities per vehicle (F/V).
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  1. This paper examines whether the relationship between traffic fatalities and per capita income is the same for different classes of road users and investigates the factors underlying the decline in fatalities per vehicle kilometer traveled (VKT) observed in high-income countries over recent decades.

    • Elizabeth Kopits, Maureen L. Cropper
    • 2003
  2. Oct 23, 2023 · We find a consistent negative effect of ridesharing on traffic fatalities, with impacts concentrated during nights and weekends. Our results imply that ridesharing has decreased U.S. traffic fatalities by 5.2% in areas where it operates.

  3. Jan 1, 2005 · This paper examines the relationship between traffic fatality risk and per capita income and uses it to forecast traffic fatalities by geographic region.

    • Elizabeth Kopits, Maureen L. Cropper
    • 2003
  4. The authors examine the impact of income growth on the death rate due to traffic fatalities, as well as on fatalities per motor vehicle and on the motorization rate (.

  5. Jun 1, 2023 · Financial turbulence has been associated with an increase in road traffic collisions. We study the link between economic uncertainty and road traffic mortality in the US. A one standard deviation increase in uncertainty is linked to 1.1% higher mortality.

  6. Jun 25, 2013 · Abstract: Kopits and Cropper examine the impact of income growth on the death rate due to traffic fatalities, as well as on fatalities per motor vehicle and on the motorization rate (vehicles/population) using panel data from 1963–99 for 88 countries.

  7. Jan 1, 2005 · This paper examines the relationship between traffic fatality risk and per capita income and uses it to forecast traffic fatalities by geographic region. Equations for the road death rate (fatalities/population) and its components—the rate of motorization (vehicles/population) and fatalities per vehicle (F/V)—are estimated using panel data ...

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