Abstract
An analysis of motor vehicle mortality is conducted using data from the Census Bureau's National Longitudinal Mortality Study for 1980, 1990, and 2000. The likelihood of being a motor vehicle crash fatality is compared to all other causes of death and not dying within the six year follow up period of the data. Using a multinomial logistic regression, mortality associations with the socioeconomics and demographics of individuals is examined. No association is found with a greater likelihood of being a motor vehicle mortality, based on family income, ethnicity, or race. Those living in rural areas, are unemployed or disabled, and residents of southern states are more likely to be a motor-vehicle fatality. These results conflict with those of many ecological studies that assume lower income neighborhoods (and their residents) are more likely to die due to motor-vehicle crashes.
Original language | English (US) |
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Pages (from-to) | 233-238 |
Number of pages | 6 |
Journal | Accident Analysis and Prevention |
Volume | 120 |
DOIs | |
State | Published - Nov 2018 |
All Science Journal Classification (ASJC) codes
- Human Factors and Ergonomics
- Safety, Risk, Reliability and Quality
- Public Health, Environmental and Occupational Health
Keywords
- Ethnicity
- Income
- Multinomial logit
- Race
- Traffic mortality