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Canadian Journal of Public Health

, Volume 104, Issue 5, pp e405–e409 | Cite as

Association Between Neighbourhood Marginalization and Pedestrian and Cyclist Collisions in Toronto Intersections

  • Jordan D. Silverman
  • Michael G. Hutchison
  • Michael D. CusimanoEmail author
Quantitative Research
  • 2 Downloads

Abstract

Objective

Pedestrian and cyclist collisions comprise a significant proportion of preventable injury. In urban settings, collision rates have been linked to various socio-demographic factors. We sought to determine whether neighbourhood marginalization affects pedestrian and cyclist collisions in the Greater Toronto Area.

Methods

For 114 intersections, pedestrian and cyclist collisions were extracted from the Toronto Traffic Data Centre database. We used a geographic information system approach to determine census Dissemination Areas and an associated Ontario Marginalization Index (ON-Marg) for each intersection. We performed a logistic regression to examine the associations between the four ON-Marg dimensions (residential instability, material deprivation, dependency, ethnic concentration) and pedestrian and cyclist collisions.

Results

The odds of sustaining a collision were independently associated with residential instability for both pedestrians (OR 1.84, 95% CI 1.21-2.84, p=0.006) and cyclists (OR 2.04, 95% CI 1.34-3.16, p=0.001). Higher overall collision rates (both pedestrian and cyclist) were associated with both ethnic concentration (OR 1.56, 95% CI 1.05-2.37, p=0.033) and residential instability (OR 2.16, 95% CI 1.43-3.38, p=0.001). Material deprivation and dependency were not significant risk factors for intersection collisions in this model.

Conclusions

Collisions involving pedestrians and cyclists are more common in areas of increased residential instability and ethnic concentration in Toronto. Intersections in neighbourhoods with these characteristics could be targeted for strategies to reduce pedestrian and cyclist injury risk in urban settings.

Key Words

Pedestrian collisions cyclist collisions neighbourhood social marginalization risk factors ON-Marg 

Résumé

Objectif

Les collisions avec des piétons et des cyclistes représentent une proportion importante des blessures évitables. En milieu urbain, les taux de collision ont été liés à divers facteurs sociodémographiques. Nous avons voulu déterminer si la marginalisation du quartier a un effet sur les collisions avec des piétons et des cyclistes dans la région du Grand Toronto.

Méthode

Pour 114 intersections, nous avons extrait les données sur les collisions avec des piétons et des cyclistes de la base du Centre de données sur la circulation de Toronto. Nous avons utilisé l’approche d’un système d’information géographique pour déterminer les aires de diffusion du Recensement et associer un indice de marginalisation ontarien (ON-Marg) à chaque intersection. Par régression logistique, nous avons examiné les associations entre les quatre dimensions de l’ON-Marg (instabilité résidentielle, défavorisation matérielle, dépendance, concentration ethnique) et les collisions avec des piétons et des cyclistes.

Résultats

La probabilité de subir une collision était indépendamment associée à l’instabilité résidentielle, tant pour les piétons (RC: 1,84, IC de 95 %: 1,21-2,84, p=0,006) que pour les cyclistes (RC: 2,04, IC de 95 %: 1,34-3,16, p=0,001). Les taux de collision globaux plus élevés (piétons et cyclistes) étaient associés à la fois à la concentration ethnique (RC: 1,56, IC de 95 %: 1,05-2,37, p=0,033) et à l’instabilité résidentielle (RC: 2,16, IC de 95 %: 1,43-3,38, p=0,001). La défavorisation matérielle et la dépendance n’étaient pas des facteurs de risque significatifs pour les collisions aux intersections dans ce modèle.

Conclusions

Les collisions avec des piétons et des cyclistes sont plus courantes dans les zones de Toronto où l’instabilité résidentielle et la concentration ethnique sont élevées. On pourrait cibler les intersections dans les quartiers possédant ces caractéristiques pour réduire les risques de blessures des piétons et des cyclistes en milieu urbain.

Mots Clés

collisions avec des piétons collisions avec des cyclistes quartier marginalisation sociale facteurs de risque ON-Marg 

References

  1. 1.
    Toroyan T. Global Status Report on Road Safety: Time for Action. Geneva, Switzerland: World Health Organization, 2009.CrossRefGoogle Scholar
  2. 2.
    World Health Organization. WHO Statistical Information System: WHOSIS. Geneva: WHO, 2009.Google Scholar
  3. 3.
    Ministry of Transportation. Ontario Road Safety Annual Report (ORSAR). Toronto, ON: Government of Ontario, 2007.Google Scholar
  4. 4.
    Ontario Medical Association. OMA policy paper: Enhancing cycling safety in Ontario. Ontario Med Rev 2011;7(3):283–89.Google Scholar
  5. 5.
    Preston HD, Coakley RC. Emerging trends in intersection safety. ITE Journal 2008;78(12).Google Scholar
  6. 6.
    Pulugurtha SS, Sambhara VR. Pedestrian crash estimation models for signalized intersections. Accid Anal Prev 2011;43(1):439–46.CrossRefGoogle Scholar
  7. 7.
    Roudsari B, Kaufman R, Koepsell T. Turning at intersections and pedestrian injuries. Traffic Inj Prev 2006;7(3):283–89.CrossRefGoogle Scholar
  8. 8.
    Wang Y, Nihan NL. Estimating the risk of collisions between bicycles and motor vehicles at signalized intersections. Accid Anal Prev 2004;36(3):313–21.CrossRefGoogle Scholar
  9. 9.
    Desapriya E, Sones M, Ramanzin T, Weinstein S, Scime G, Pike I. Injury prevention in child death review: Child pedestrian fatalities. Inj Prev 2011;17(Suppl I):i4–i9.CrossRefGoogle Scholar
  10. 10.
    Moudon AV, Lin L, Jiao J, Hurvitz P, Reeves P. The risk of pedestrian injury and fatality in collisions with motor vehicles, a social ecological study of state routes and city streets in King County, Washington. Accid Anal Prev 2011;43(1):11–24.CrossRefGoogle Scholar
  11. 11.
    Oliver L, Kohen D. Neighbourhood income gradients in hospitalisations due to motor vehicle traffic incidents among Canadian children. Inj Prev 2009;15(3):163–69.CrossRefGoogle Scholar
  12. 12.
    Chakravarthy B, Anderson CL, Ludlow J, Lotfipour S, Vaca FE. The relationship of pedestrian injuries to socioeconomic characteristics in a large Southern California County. Traffic Injury Prev 2010;11(5):508–13.CrossRefGoogle Scholar
  13. 13.
    Matheson FI, Dunn JR, Smith KLW, Moineddin R, Glazier RH. Development of the Canadian Marginalization Index: A new tool for the study of inequality. Can J Public Health 2012;103(8):S12–S16.PubMedGoogle Scholar
  14. 14.
    Matheson FI, Moineddin R, Dunn JR, Creatore MI, Gozdyra P, Glazier RH. Urban neighborhoods, chronic stress, gender and depression. Soc Sci Med 2006;63(10):2604–16.CrossRefGoogle Scholar
  15. 15.
    White HL, Matheson FI, Moineddin R, Dunn JR, Glazier RH. Neighbourhood deprivation and regional inequalities in self-reported health among Canadians: Are we equally at risk? Health Place 2011;17(1):361–69.CrossRefGoogle Scholar
  16. 16.
    Matheson FI, Dunn JR, Smith KLW, Moineddin R, Glazier RH. Toronto: Centre for Research on Inner City Health, 2011.Google Scholar
  17. 17.
    Wachtel A, Lewiston D. Risk factors for bicycle-motor vehicle collisions at intersections. ITE Journal 1994;64(9):30–35.Google Scholar
  18. 18.
    Harris MA, Reynolds CC, Winters M, Cripton PA, Shen H, Chipman ML, et al. Comparing the effects of infrastructure on bicycling injury at intersections and non-intersections using a case-crossover design. Inj Prev 2013;19(5):303–10.CrossRefGoogle Scholar
  19. 19.
    Doherty ST, Aultman-Hall L, Swaynos J. Commuter cyclist accident patterns in Toronto and Ottawa. J Transportation Engineering 2000;126(1):21–26.CrossRefGoogle Scholar

Copyright information

© The Canadian Public Health Association 2013

Authors and Affiliations

  • Jordan D. Silverman
    • 1
  • Michael G. Hutchison
    • 2
  • Michael D. Cusimano
    • 3
    Email author
  1. 1.Faculty of MedicineUniversity of TorontoTorontoCanada
  2. 2.David L. MacIntosh Sport Medicine Clinic, Faculty of Kinesiology and Physical EducationUniversity of TorontoTorontoCanada
  3. 3.Division of Neurosurgery, Injury Prevention Research Office, Keenan Research CentreSt. Michael’s HospitalTorontoCanada

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