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

Saul Antonio Obregon Biosca, Jose Luis Reyes Araiza and Miguel Angel Perez Lara y Hernandez

A chapter in Applied Probability Theory - New Perspectives, Recent Advances and Trends from IntechOpen

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.

Keywords: traffic accidents; probability; road education; socioeconomic level; transport modes; logit (search for similar items in EconPapers)
JEL-codes: C25 C83 (search for similar items in EconPapers)
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.intechopen.com/chapters/82970 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:285406

DOI: 10.5772/intechopen.106325

Access Statistics for this chapter

More chapters in Chapters from IntechOpen
Bibliographic data for series maintained by Slobodan Momcilovic ().