Association between intersection characteristics and perceived crash risk among school-aged children

Accid Anal Prev. 2016 Dec:97:111-121. doi: 10.1016/j.aap.2016.09.001. Epub 2016 Sep 7.

Abstract

This research examined how environmental attributes near intersections influence the perceived crash risk among school-aged children, which provides information on the potential risks of pedestrian crashes that can guide the development of proactive countermeasures. In a sample of 799 children aged 10-12 years old in Korea, the environmental attributes of intersections perceived as having a high risk of producing crashes near elementary schools were investigated using standard negative binomial and zero-inflated negative binomial models.The results showed that a higher number of student crossings, a wider road width, the presence of crosswalks, student-friendly facilities at the intersection, and four-way intersections were significant and positively associated with perceived crash risk among school-aged children. The findings related to building characteristics indicated that a higher number of entrances at an intersection increased the perceived crash risk while higher visibility at the intersection reduced the perception of risk. Associations with traffic-calming measures were weak,suggesting that the measures used in the study areas were not effective in reducing the perceived crash risk. The results of a police-reported crash model showed that school-aged children have a relatively accurate perception of crash risk and that the perceived crash risk of school-aged children may provide valuable information on the intersection characteristics in need of attention near school sites.

Keywords: Children; Intersection; Pedestrian; Perceived crash risk; Safety.

MeSH terms

  • Accident Prevention / methods*
  • Accidents, Traffic
  • Attention
  • Child
  • Child Welfare / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Models, Statistical
  • Models, Theoretical
  • Republic of Korea
  • Risk Assessment / statistics & numerical data
  • Safety / statistics & numerical data*
  • Schools
  • Walking / injuries*