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- W4301886817 abstract "Road education is one of the most relevant issues focused to reduce traffic accidents, so it is important to analyze the driver’s behavior on the roads. International research has found evidence for a relationship between socioeconomic characteristics and traffic accidents. In this sense, the chapter shows a methodology to estimate the probability to be involved in a road accident, considering the road education and the socioeconomic characteristics of the population of a specific region, taking the Santiago de Querétaro city (in México) as a study case. Through a logit model estimation and a survey applied to pedestrian, cyclist, motorcyclist, car driver, and freight driver allow us to determine which socioeconomic variables and road education are significant to determine the probability of being involved in a road accident." @default.
- W4301886817 created "2022-10-05" @default.
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- W4301886817 date "2023-01-04" @default.
- W4301886817 modified "2023-10-14" @default.
- W4301886817 title "Probability to Be Involved in a Road Accident: Transport User Socioeconomic Approach" @default.
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- W4301886817 doi "https://doi.org/10.5772/intechopen.106325" @default.
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