Geospatial and environmental analysis of road traffic accidents in the city of Resistencia, Argentina

Martín Chaparro Physician. Specialist Degree in Epidemiology. Graduate student, Faculty of Medicine, Universidad de Buenos Aires, Argentina image/svg+xml , Akram Hernández-Vásquez Medical Doctor. Master’s Degree in Management and Public Policy. Professor, Faculty of Health Sciences, Universidad Privada del Norte, Perú. image/svg+xml , Alejandro Parras Undergraduate Degree in Geography. Master’s Degree in Remote Sensing and Geographic Information Systems. Professor, Faculty of Humanities, Universidad Nacional del Nordeste, Argentina. image/svg+xml
Received: 31 October 2016, Accepted: 7 July 2017, Published: 11 April 2018 Open Access
Abstract views
1422
Metrics Loading ...

Abstract


Traffic accidents are an emerging problem in cities with high mobility and little urban planning. Evidence is lacking in Argentina regarding the relationship between the environment and accident occurrence; we therefore conducted a geospatial analysis and estimated the risk of accidents and their possible association with the characteristics of the physical environment in the city of Resistencia, Argentina occurring in 2012. Kernel density estimates were used for the spatial distribution of accidents and in parallel an observational, analytical study was carried out to analyze the factors associated with accident occurrence. The results show three critical areas (in the northwest, center and south of the city) with greater accident frequency. Environmental factors that were associated with the occurrence of accidents were the presence of street lighting (23% greater), the presence of a tree close to the road (47% greater), the presence of a traffic light (28% greater), and if the road was a major avenue (122% greater) and had curves (129% greater). This study shows the city of Resistencia to be in a situation of urban vulnerability due not only to its socioeconomic status but also to the unequal development compared to neighboring cities, a reality that fosters an unfavorable environment.

References


1. Peden M. Global collaboration on road traffic injury prevention. International Journal of Injury Control and Safety Promotion. 2005;12(2):85-91.

2. Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. The Lancet. 2012;380(9859):2095-2128.

3. Organización Mundial de la Salud. Informe mundial sobre prevención de los traumatismos causados por el tránsito [Internet]. Ginebra: OMS; 2004 [citado 20 jul 2016]. Disponible en: https://tinyurl.com/y9ujotkk

4. GBD 2013 Mortality and Causes of Death Collaborators. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. The Lancet. 2015;385(9963):117-171.

5. Ubeda C, Espitia-Hardeman V, Bhalla K, Borse NN, Abraham JP, Dellinger A, et al. National burden of road traffic injuries in Argentina. International Journal of Injury Control and Safety Promotion. 2012;19(1):9-18.

6. Institute for Health Metrics and Evaluation. Country profile: Argentina [Internet]. Seattle: Institute for Health Metrics and Evaluation; 2016 [citado 10 oct 2016]. Disponible en: http://www.healthdata.org/argentina

7. Ministerio de Transporte Presidencia de la Nación. Observatorio Vial: Informes Estadísticos [Internet]. Buenos Aires: Ministerio de Transporte Presidencia de la Nación; 2016 [citado 10 oct 2016]. Disponible en: https://tinyurl.com/yc72m4jl

8. Fuentes CM, Hernandez V. Spatial environmental risk factors for pedestrian injury collisions in Ciudad Juarez, Mexico (2008-2009): implications for urban planning. International Journal of Injury Control and Safety Promotion. 2013;20(2):169-178.

9. Lankarani KB, Heydari ST, Aghabeigi MR, Moafian G, Hoseinzadeh A, Vossoughi M. The impact of environmental factors on traffic accidents in Iran. Journal of Injury and Violence Research. 2014;6(2):64-71.

10. Plainis S, Murray IJ, Pallikaris IG. Road traffic casualties: understanding the night-time death toll. Injury Prevention. 2006;12(2):125-128.

11. Beyer FR, Ker K. Street lighting for preventing road traffic injuries. The Cochrane Database of Systematic Reviews. 2009;(1):Cd004728.

12. Peden M, Scurfield R, Sleet D, Mohan D, Hyder AA, Jarawan E, Mathers C, editors. World report on road traffic injury prevention [Internet]. Switzerland: World Health Organization; 2004 [citado 10 oct 2016]. Disponible en: https://tinyurl.com/ycmm494e

13. Leveau CM. Spatial variations in motorcycle registrations and the mortality of motorcycle users due to traffic injuries in Argentina. Salud Colectiva. 2013;9(3):353-362.

14. Leveau CM, Ubeda C. Deaths from road injuries in Argentina: a spatial analysis for the 2001-2009 period. Revista Panamericana de Salud Pública. 2012;31(5):439-442.

15. Macías GR, Almeida Filho N, Alazraqui M. Análisis de las muertes por accidentes de tránsito en el municipio de Lanús, Argentina: 1998-2004. Salud Colectiva. 2010;6(3):313-328.

16. Instituto Nacional de Estadística y Censos. Censo Nacional de Población, Hogares y Viviendas del año 2010 [Internet]. Buenos Aires: INDEC; 2010 [citado 20 jul 2016]. Disponible en: https://tinyurl.com/y9gvm522

17. Dirección General de Tráfico, Ministerio del Interior de España. La velocidad [Internet]. España: Dirección General de Tráfico, Ministerio del Interior de España; 2017 [citado 5 may 2017]. Disponible en: https://tinyurl.com/y76k3m3q

18. Valdés P. La ordenación de espacios metropolitanos: consideraciones sobre el eje Gran Resistencia-Gran Corrientes. Cuaderno Urbano: Espacio, Cultura y Sociedad. 2009;8(8):181-204.

19. Alcalá L, Scornik M. Movilidad y accesibilidad en el Gran Resistencia: principales problemas y desafíos. Revista Transporte y Territorio. 2015;13:8-35.

20. Rodriguez-Hernandez JM, Campuzano-Rincón JC. Primary prevention measures for controlling pedestrian injuries and deaths and improving road safety. Revista de Salud Pública. 2010;12(3):497-509.

21. Sullivan JM, Flannagan MJ. The role of ambient light level in fatal crashes: inferences from daylight saving time transitions. Accident Analysis and Prevention. 2002;34(4):487-498.

22. Jägerbrand AK, Sjöbergh J. Effects of weather conditions, light conditions, and road lighting on vehicle speed. SpringerPlus. 2016;5:505.

23. Romanow NTR, Couperthwaite AB, McCormack GR, Nettel-Aguirre A, Rowe BH, Hagel BE. Environmental determinants of bicycling injuries in Alberta, Canada. Journal of Environmental and Public Health. 2012;2012:487681.

24. Hijar M, Carrillo C, Flores M, Anaya R, Lopez V. Risk factors in highway traffic accidents: a case control study. Accident Analysis and Prevention. 2000;32(5):703-709.

25. Othman S, Thomson R, Lannér G. Identifying critical road geometry parameters affecting crash rate and crash type. Annals of Advances in Automotive Medicine. 2009;53:155-165.

26. Othman S, Thomson R, Lannér G. Are driving and overtaking on right curves more dangerous than on left curves? Annals of Advances in Automotive Medicine. 2010;54:253-264.

27. Elvik R. Does the influence of risk factors on accident occurrence change over time? Accident Analysis and Prevention. 2016;91:91-102.

28. King MJ, Soole D, Ghafourian A. Illegal pedestrian crossing at signalised intersections: incidence and relative risk. Accident Analysis and Prevention. 2009;41(3):485-490.

29. Geldstein R, Bertoncello R, Peterlini C, Thomas C. Aspectos demográficos y sociales de los accidentes de tránsito en áreas seleccionadas de la Argentina; diagnóstico y aportes para el diseño de políticas y programas de prevención [Internet]. Buenos Aires: CONAPRIS, Ministerio de Salud y Ambiente; 2006 [citado 18 oct 2016]. Disponible en: https://tinyurl.com/y939oof3

30. Wilson C, Willis C, Hendrikz JK, Bellamy N. Speed enforcement detection devices for preventing road traffic injuries. The Cochrane Database of Systematic Reviews. 2006;(2):Cd004607.

31. Wilson C, Willis C, Hendrikz JK, Le Brocque R, Bellamy N. Speed cameras for the prevention of road traffic injuries and deaths. The Cochrane Database of Systematic Reviews. 2010;(11):Cd004607.

32. Olsen JR, Mitchell R, Mackay DF, Humphreys DK, Ogilvie D. Effects of new urban motorway infrastructure on road traffic accidents in the local area: a retrospective longitudinal study in Scotland. Journal of Epidemiology and Community Health. 2016;70(11):1088-1095.

33. Quistberg DA, Miranda JJ, Ebel B. Reducing pedestrian deaths and injuries due to road traffic injuries in Peru: interventions that can work. Revista Peruana de Medicina Experimental y Salud Pública. 2010;27(2):248-254.

34. Sadeghi-Bazargani H, Saadati M. Speed management strategies: a systematic review. Bulletin of Emergency and Trauma. 2016;4(3):126-133.