Crime and Risky Behavior in Traffic: An Example of Cross-Situational Consistency

Marianne Junger, Robert West, Reinier Timman

Research output: Contribution to journalArticleAcademic

55 Citations (Scopus)

Abstract

This study looks at the relationship between risky behavior in traffic and criminal behavior. Analyses were based on a random sample of 1531 persons involved in traffic accidents. The data came from two independent police databases: the accident registration system and a national database on offending. Descriptions of the accidents by the police were used to identify individuals who had displayed risky traffic behavior contributing to or causing an accident; evidence of offending was based on a register of contacts with police. This methodology meant that there was no self-selection bias or self-report bias as may occur in survey data. Exposure to traffic accident risk was controlled for. Log-linear analyses, controlling for gender and age, revealed that persons who displayed risky traffic behavior leading to the accident had an odds ratio of 2.6 for having a police record for violent crime; of 2.5 for vandalism, 1.5 for property crime, and 5.3 for having been involved in traffic crime. The results were consistent with the idea of a common factor underlying risky behavior in traffic and criminal behavior. This underlying trait may represent a general disregard for the long term adverse consequences of one's actions and could be labeled risk-taking, impulsiveness, or lack of self-control.
Original languageUndefined
Pages (from-to)439-459
JournalJournal of research in crime and delinquency
Volume38
Issue number4
Publication statusPublished - 2001

Keywords

  • IR-95353

Cite this

@article{e3ad43a249434799916c586a92fe586a,
title = "Crime and Risky Behavior in Traffic: An Example of Cross-Situational Consistency",
abstract = "This study looks at the relationship between risky behavior in traffic and criminal behavior. Analyses were based on a random sample of 1531 persons involved in traffic accidents. The data came from two independent police databases: the accident registration system and a national database on offending. Descriptions of the accidents by the police were used to identify individuals who had displayed risky traffic behavior contributing to or causing an accident; evidence of offending was based on a register of contacts with police. This methodology meant that there was no self-selection bias or self-report bias as may occur in survey data. Exposure to traffic accident risk was controlled for. Log-linear analyses, controlling for gender and age, revealed that persons who displayed risky traffic behavior leading to the accident had an odds ratio of 2.6 for having a police record for violent crime; of 2.5 for vandalism, 1.5 for property crime, and 5.3 for having been involved in traffic crime. The results were consistent with the idea of a common factor underlying risky behavior in traffic and criminal behavior. This underlying trait may represent a general disregard for the long term adverse consequences of one's actions and could be labeled risk-taking, impulsiveness, or lack of self-control.",
keywords = "IR-95353",
author = "Marianne Junger and Robert West and Reinier Timman",
year = "2001",
language = "Undefined",
volume = "38",
pages = "439--459",
journal = "Journal of research in crime and delinquency",
issn = "0022-4278",
publisher = "SAGE Publications",
number = "4",

}

Crime and Risky Behavior in Traffic: An Example of Cross-Situational Consistency. / Junger, Marianne; West, Robert; Timman, Reinier.

In: Journal of research in crime and delinquency, Vol. 38, No. 4, 2001, p. 439-459.

Research output: Contribution to journalArticleAcademic

TY - JOUR

T1 - Crime and Risky Behavior in Traffic: An Example of Cross-Situational Consistency

AU - Junger, Marianne

AU - West, Robert

AU - Timman, Reinier

PY - 2001

Y1 - 2001

N2 - This study looks at the relationship between risky behavior in traffic and criminal behavior. Analyses were based on a random sample of 1531 persons involved in traffic accidents. The data came from two independent police databases: the accident registration system and a national database on offending. Descriptions of the accidents by the police were used to identify individuals who had displayed risky traffic behavior contributing to or causing an accident; evidence of offending was based on a register of contacts with police. This methodology meant that there was no self-selection bias or self-report bias as may occur in survey data. Exposure to traffic accident risk was controlled for. Log-linear analyses, controlling for gender and age, revealed that persons who displayed risky traffic behavior leading to the accident had an odds ratio of 2.6 for having a police record for violent crime; of 2.5 for vandalism, 1.5 for property crime, and 5.3 for having been involved in traffic crime. The results were consistent with the idea of a common factor underlying risky behavior in traffic and criminal behavior. This underlying trait may represent a general disregard for the long term adverse consequences of one's actions and could be labeled risk-taking, impulsiveness, or lack of self-control.

AB - This study looks at the relationship between risky behavior in traffic and criminal behavior. Analyses were based on a random sample of 1531 persons involved in traffic accidents. The data came from two independent police databases: the accident registration system and a national database on offending. Descriptions of the accidents by the police were used to identify individuals who had displayed risky traffic behavior contributing to or causing an accident; evidence of offending was based on a register of contacts with police. This methodology meant that there was no self-selection bias or self-report bias as may occur in survey data. Exposure to traffic accident risk was controlled for. Log-linear analyses, controlling for gender and age, revealed that persons who displayed risky traffic behavior leading to the accident had an odds ratio of 2.6 for having a police record for violent crime; of 2.5 for vandalism, 1.5 for property crime, and 5.3 for having been involved in traffic crime. The results were consistent with the idea of a common factor underlying risky behavior in traffic and criminal behavior. This underlying trait may represent a general disregard for the long term adverse consequences of one's actions and could be labeled risk-taking, impulsiveness, or lack of self-control.

KW - IR-95353

M3 - Article

VL - 38

SP - 439

EP - 459

JO - Journal of research in crime and delinquency

JF - Journal of research in crime and delinquency

SN - 0022-4278

IS - 4

ER -