Pedestrian crashes at priority-controlled junctions, roundabouts, and signalized junctions: The UK case study

Traffic Inj Prev. 2019;20(3):308-313. doi: 10.1080/15389588.2019.1574972. Epub 2019 Apr 11.

Abstract

Objectives: Over half of pedestrians killed and seriously injured in Great Britain in 2015 were involved in crashes at junctions. This study investigates the nature of these crashes. Methods: A study was conducted into pedestrian casualty crashes at priority controlled junctions, roundabouts and signalised junctions in England between 2005 and 2015 using information from the UK STATS19 accident database, the UK National Travel Survey and the UK National Census. Consideration was given to coding frequencies of contributory factors, exposure (in terms of miles walked or driven) as well as age, gender and the resident deprivation index of the road users involved. Results and Conclusions: In terms of indicative blame, the coding frequencies of subjectively determined pedestrian actions and behaviour factors which might have contributed to pedestrian casualty crashes were found to be between 1.6 and 2.8 times the frequencies of driver actions and behavioural factors. Substantial social gradients were found in pedestrian casualty rates per miles walked and in the driver involvement rates per mile driven with those from the most deprived quintile having higher rates. In addition, it was found that female pedestrians, aged 60 years and over, had higher pedestrian casualty rates, per billion miles walked, for all three junction types, when compared with males and females under the age of 60 years, apart from male pedestrians aged 16 years and younger at priority controlled junctions.

Keywords: Accident; contributory factors; crash; intersection; pedestrian; social deprivation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Traffic / mortality
  • Accidents, Traffic / statistics & numerical data*
  • Adolescent
  • Adult
  • Databases, Factual
  • Environment Design / statistics & numerical data*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Pedestrians / statistics & numerical data*
  • United Kingdom / epidemiology
  • Young Adult