Geographical variation in traffic‐related mortality and morbidity among pedestrians in Quebec, 1983‐1988

Abstract

In this study we analyze thedmographic and geographical distribution ofpedestrian accidents (n=28,452) in the QuebecMunicipalitD rkgionales de comt6 (MRC) reported between January 1, 1983 and December 31, 1988. In order to be able to make comparisons between MRCs. we have created in Comparative Mortality Index and a Comparative Morbidity Index. We use a logistic regression model to single out explanatoxy factors. The main tendencies which are apparent in the demographic analysis are an overrepresentation of young persons and elderly persons in the accident statistics, and that men are more at risk than women. Men 15 years and under and men 65 years and over are more at risk of being involved in afatalpedestrian accident. The geographic analysis show that among men, the average mortality rate is one and a half times greater in rural MRCs than inurbanMRCs; among women, rural mortality is two and a half times greater thanurbanmortality. In the case of non-severe injuries we note an over-representation of urban MRCs. Young persons 15 years or less who live in an urban, populated zone are those most at risk of being involved in a pedestrian accident. Identifying high risk groups or areas is a prerequisite step for irjury prevention and control.Injuries of pedestrians in automobile-related accidents constitute a serious problem. Pedestrian deaths make up the second-largest category of deaths due to traffic accidents. Over the past 10 years in Quebec, Marie-France Joly is on the faculty

Gender differences in pedestrian rule compliance and visual search at signalized and unsignalized crossroads

“…Joly et al (1988) noted that men's mortality rate is one and a half times higher than women's and that non-severe injuries are greater in men than women. Leaf and Preusser (1999) noted that male pedestrians are over-represented in injuries: among 21,751 injury cases studied, 70.2 % involved males and only 29.8 % involved females.…”

Análisis geográfico de la mortalidad de diferentes usuarios de vías de tránsito y factores de área asociados en Argentina

“…Saúde Colet., 2020;28(2):165-179 177/179177 Análisis espacial de mortalidad El riesgo de mortalidad en automovilistas y ciclistas se incrementó en áreas de baja densidad poblacional. Ambos resultados coinciden con lo estudiado en países desarrollados, registrando una relación negativa entre la mortalidad por lesiones de tránsito y la densidad poblacional 5,7,31,32 . Otros estudios han analizado los factores que contribuyen a mayores niveles de mortalidad en áreas de baja densidad poblacional, considerando de manera agregada a todas las víctimas fatales por lesiones de tránsito o sólo los ocupantes de vehículos de motor.…”

“…Fueron analizados los datos de mortalidad por lesiones de tránsito, de acuerdo a los códigos de la Clasificación Internacional de Enfermedades, Décima Revisión (CIE-10). Se consideraron los siguientes usuarios de vías de tránsito (cuarto código entre corchetes): peatones (V01-06 [1] y V09 [2][3]); ciclistas (V10-V18 [3][4][5]9] y V19 [4][5][6]9]); ocupantes de motocicletas (V20-28 [3][4][5]9] y V29 [4][5][6]9]); ocupantes de automóviles (V40-48 [4][5][6][7]9] y V49 [4][5][6]9]); y usuarios no especificados (V87 [0-9] y V89 [2][3]9]). Se seleccionaron estos usuarios de vías de tránsito ya que constituyen los casos de mortalidad por lesiones de tránsito más frecuentes en Argentina.…”

“…Los estudios ecológicos que investigaron el rol de factores contextuales sobre las muertes por lesiones de tránsito hallaron que tanto factores del ambiente físico (áreas con alta sinuosidad de la red de caminos) como del ambiente social (áreas con menor densidad poblacional, menor nivel socioeconómico, mayor desempleo, baja disponibilidad de servicios de emergencia médica, mayor volumen de tráfico y mayor consumo de alcohol) estuvieron relacionados a mayores tasas de mortalidad por lesiones de tránsito [5][6][7][8][9][10][11] .…”

The combined role of sexual selection and socioeconomic environment in explaining everyday risk-taking behavior in human males.

“…Other studies reported a greater propensity for males to cross on red pedestrian lights (Rosenbloom, 2009; Tom & Granié, 2011). Traffic-related mortality is also higher among male than female pedestrians (Joly et al, 1992). Male cyclists were more likely than females to cross a railway track when it was dangerous to do so, that is, before the end of warning signals after a train had recently passed (Cobey et al, 2013).…”