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Probability to Be Involved in a Road Accident: Transport User Socioeconomic Approach

In: Applied Probability Theory - New Perspectives, Recent Advances and Trends

Author

Listed:
  • Saul Antonio Obregon Biosca
  • Jose Luis Reyes Araiza
  • Miguel Angel Perez Lara y Hernandez

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.

Suggested Citation

  • Saul Antonio Obregon Biosca & Jose Luis Reyes Araiza & Miguel Angel Perez Lara y Hernandez, 2023. "Probability to Be Involved in a Road Accident: Transport User Socioeconomic Approach," Chapters, in: Abdo Abou Jaoude (ed.), Applied Probability Theory - New Perspectives, Recent Advances and Trends, IntechOpen.
    • Handle: RePEc:ito:pchaps:285406
    DOI: 10.5772/intechopen.106325
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    More about this item

    Keywords

    traffic accidents; probability; road education; socioeconomic level; transport modes; logit;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

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