Factors related to road system organisation and its association with mortality due to motor vehicle-pedestrian collisions in Guadalajara Metropolitan Area

Inj Prev. 2020 Jun;26(3):270-278. doi: 10.1136/injuryprev-2019-043153. Epub 2019 Jun 3.

Abstract

Introduction: Traffic events are one of the five leading causes of mortality in Mexico. Pedestrians are one of the main road users involved in such incidents and have the highest mortality rate, which is regularly analysed in relation to vehicles and pedestrians, but not the built environment. The purpose of this study was to analyse the elements of the road system organisation that influences the mortality rate of pedestrians hit by motor vehicles in the Guadalajara Metropolitan Area.

Method: We designed a case and control study in which the cases were sites where a pedestrian died during 2012. The controls were sites close to where the death occurred, as well as those with road infrastructure characteristics similar to those where the events took place. We obtained the pedestrian data from the death certificates and assessed some of the environmental elements of the road sites. A logistic regression analysis was used to estimate OR; 95% CI.

Results: Road system factors related with pedestrian mortality in close locations were: the presence of bus stops on intersections in one street or both, and road system features, such as the presence of traffic islands, vehicle flow and pedestrian flow.

Conclusions: According to the urban network theory and multiple theory, the final elements resulted as risk factors due to a fault in connectivity between the nodes. A temporal analysis of urban features will help urban planners make decisions regarding the safety of pedestrians and other road users.

Keywords: built environment; mortality; pedestrian; risk factors.

MeSH terms

  • Accidents, Traffic / mortality*
  • Accidents, Traffic / statistics & numerical data
  • Adult
  • Aged
  • Case-Control Studies
  • Environment Design / statistics & numerical data*
  • Female
  • Humans
  • Logistic Models
  • Male
  • Mexico / epidemiology
  • Middle Aged
  • Motor Vehicles
  • Pedestrians / statistics & numerical data*
  • Risk Factors
  • Safety
  • Urban Population
  • Walking / injuries
  • Young Adult