Multiple Regression Analysis on the Safety of Transportation and Social Economic Development
Multiple Regression Analysis on the Safety of Transportation and Social Economic Development
- New search for: Qu, Zhiming
- New search for: Schultz, Grant G.
- New search for: Al Malik, Bashir
- New search for: Qu, Zhiming
- New search for: Schultz, Grant G.
- New search for: Al Malik, Bashir
Statistical analyses have shown that the death rate per 100,000 persons in traffic and transportation related deaths can be correlated to economic indices including per capita Gross National Product (GNP). The death rates along with 14 social economic indices in 28 sample countries were chosen to evaluate the relationship between transportation safety and economic development. Using multiple regression analysis, several models were developed to analyze the effect of economic factors on transportation safety. The results of the models developed showed that the death rate per 100,000 persons tended to increase when predicting the development of national transportation safety. As a result, advice is provided to macroscopically readjust and control the main social economic factors which include changing economic growth, enhancing economic strength, increasing technologic devotion and education training, and strengthening safety control to realize stable improvements in traffic and transportation safety.
Document information
Multiple Regression Analysis on the Safety of Transportation and Social Economic Development
First International Symposium on Transportation and Development Innovative Best Practices ; 2008 ; Beijing, China
2008-04-04
Conference paper
Electronic Resource
English
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Multiple Regression Analysis on the Safety of Transportation and Social Economic Development
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