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First published online January 1, 2010

Evaluation of Pedestrian Safety at Midblock Crossings, Porto Alegre, Brazil

Abstract

This paper proposes a method to evaluate the potential risk of pedestrian crashes at midblock crossings, which can be applied in developing countries. The method is quantitative because it uses modeling techniques to represent the relationship of risk factors with the occurrence of pedestrian crashes. Application of the method described here comprised the analysis of reported pedestrian crashes in the city of Porto Alegre, in southern Brazil, between 1998 and 2006, and the identification of midblock crossings with the highest number of pedestrian crashes. Twenty-one midblock crosswalks were selected for evaluation. A Poisson regression model was developed to relate pedestrian crashes to the prevailing operational and physical characteristics of midblock crossings. The results indicate that pedestrian crash risk is influenced by a combination of interactive risk factors, such as the presence of busways and bus stops, the road width, the number of traffic lanes, and the volume of pedestrians and vehicles.

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References

1. Mohan D., Tiwari G., Khayesi M., and Nafukho F. M. Road Traffic Injury Prevention Training Manual. World Health Organization, Geneva, Switzerland, and Indian Institute of Technology Delhi, India, 2006.
2. ANTP–Brazilian National Association of Public Transportation. 2003 Profile of Mobility, Transportation and Traffic in Brazilian Municipalities (in Portuguese). Technical report. São Paulo, Brazil, 2004.
3. DENATRAN–Brazilian National Transit Department. 2005 Traffic Accident Statistics (in Portuguese). www2.cidades.gov.br/renaest/. Accessed Aug. 27, 2007.
4. Høj N. P., and Kröger W. Risk Analyses of Transportation on Road and Railway from a European Perspective. Safety Science, Vol. 40, 2002, pp. 337–357.
5. Carter D. L., Hunter W. W., Zegeer C. V., Stewart J. R., and Huang H. F. Pedestrian and Bicyclist Intersection Safety Indices: Final Report. FHWA-HRT-06-125. FHWA, U.S. Department of Transportation, 2006.
6. Harwood D. W., Torbic D. J., Gilmore D. K., Bokenkroger C. D., Dunn J. M., Zegeer C. V., Srinivasan R., Carter D., Raborn C., Lyon C., and Persaud B. Pedestrian Safety Prediction Methodology. NCHRP Web-Only Document 129: Phase III. March 2008. onlinepubs.trb.org/onlinepubs/nchrp/nchrp_w129p3.pdf. Accessed June 18, 2008.
7. Campbell B. J., Zegeer C. V., Huang H. H., and Cynecki M. J. A Review of Pedestrian Safety Research in the United States and Abroad. FHWA-RD-03-042. FHWA, U.S. Department of Transportation, 2004.
8. Diogenes M. C. Method for Evaluating Urban Midblock Pedestrian Crash Potential Risk (in Portuguese). PhD dissertation. Federal University of Rio Grande do Sul, Porto Alegre, Brazil, 2008.
9. Gårder P. E. The Impact of Speed and Other Variables on Pedestrian Safety in Maine. Accident Analysis and Prevention, Vol. 36, No. 4, 2004, pp. 533–542.
10. Holubowycz O. T. Age, Sex, and Blood Alcohol Concentration of Killed and Injured Pedestrians. Accident Analysis and Prevention, Vol. 27, No. 3, 1994, pp. 417–422.
11. Martinez K. L. H., and Porter B. E. The Likelihood of Becoming a Pedestrian Fatality and Drivers' Knowledge of Pedestrian Rights and Responsibilities in the Commonwealth of Virginia. Transportation Research Part F, Vol. 7, No. 1, 2004, pp. 43–58.
12. Al-Madani H., and Al-Janahi A. Personal Exposure Risk Factors in Pedestrian Accidents in Bahrain. Safety Science, Vol. 44, 2006, pp. 335–347.
13. Sisiopiku V. P., and Akin D. Pedestrian Behaviors at and Perceptions Toward Various Pedestrian Facilities: An Examination Based on Observation and Survey Data. Transportation Research Part F, Vol. 6, No. 4, 2003, pp. 249–274.
14. Tiwari G., Bangdiwala S., Saraswat A., and Gaurav S. Survival Analysis: Pedestrian Risk Exposure at Signalized Intersections. Transportation Research Part F, Vol. 10, No. 2, 2007, pp. 77–89.
15. Knoblauch R. L., Nitzburg M., and Seifert R. F. Pedestrian Crosswalk Case Studies: Sacramento, California; Richmond, Virginia; Buffalo, New York; Stillwater, Minnesota. FHWA-RD-00-103. FHWA, U.S. Department of Transportation, 2001.
16. Ariotti P., Cybis H. B. B., and Ribeiro J. L. D. Influencing Factors in Pedestrian Behavior at Signalized Crossings: A Qualitative Approach (in Portuguese). In Proc. XX Brazilian National Association of Transportation Research and Education Congress, ANPET, 2006, Brasília, D.F., Brazil, Vol. 1, 2006, pp. 174–185.
17. Baltes M. R., and Chu X. Pedestrian Level of Service for Midblock Street Crossings. In Transportation Research Record: Journal of the Transportation Research Board, No. 1818, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 125–133.
18. Petritsch T. A., Landis B. W., McLeod P. S., Huang H. F., Challa S., and Guttenplan M. Level-of-Service Model for Pedestrians at Signalized Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 1939, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 55–62.
19. Schneider R. J., Khattak A. J., and Zegeer C. V. Method of Improving Pedestrian Safety Proactively with Geographic Information Systems: Example from a College Campus. In Transportation Research Record: Journal of the Transportation Research Board, No. 1773, TRB, National Research Council, Washington, D.C., 2001, pp. 97–107.
20. Turner S. A., Roozenburg A. P., and Francis T. Predicting Accident Rates for Cyclists and Pedestrians. Report 289. Land Transport New Zealand Research, Wellington, New Zealand, 2006.
21. Geyer J. A., Raford N., Pham T., and Ragland D. R. Safety in Numbers: Data from Oakland, California. In Transportation Research Record: Journal of the Transportation Research Board, No. 1982, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 150–154.
22. Leden L. Pedestrian Risk Decrease with Pedestrian Flow: A Case Study Based on Data from Signalized Intersections in Hamilton, Ontario. Accident Analysis and Prevention, Vol. 34, No. 4, 2002, pp. 457–464.
23. Lyon C., and Persaud B. Pedestrian Collision Prediction Models for Urban Intersections. In Transportation Research Record: Journal of the Transportation Research Board, No. 1818, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 102–107.
24. Zegeer C. V., Stewart R., Huang H., Lagerwey P. A., Feaganes J., and Campbell B. J. Safety Effects of Marked Versus Unmarked Crosswalks at Uncontrolled Locations: Final Report and Recommended Guidelines. FHWA-HRT-04–100. FHWA, U.S. Department of Transportation, 2005.
25. Risser R., and Methorst R. Cost 358—-Pedestrians' Quality Needs. In ICTCT Extra-Workshop: Road User Behaviour with a Special Focus on Vulnerable Road Users: Technical, Social and Psychological Aspects. Beijing, China, 2007. www.ictct.org. Accessed Dec. 13, 2007.
26. IBGE–Brazilian Institute of Geography and Statistics. 2007 Demographic Census (in Portuguese). www.ibge.gov.br/home. Accessed Sept. 2, 2007.
27. DETRAN-RS–Rio Grande do Sul State Transportation Department. 2005 Statistics (in Portuguese). www.detran.rs.gov.br/. Accessed Oct. 6, 2007.
28. Lindau L. A., Senna L. A. S., Strambi O., and Martins W. C. Alternative Financing for Bus Rapid Transit (BRT): The Case of Porto Alegre, Brazil. Research in Transportation Economics, Vol. 22, No. 1, 2008, pp. 54–60.
29. Yaffee R. A. Robust Regression Analysis: Some Popular Statistical Package Options. New York University, New York, 2002. www.nyu.edu/its/statistics/Docs/RobustReg2.pdf. Accessed March 21, 2008.
30. Greibe P. Accident Prediction Models for Urban Roads. Accident Analysis and Prevention, Vol. 35, No. 2, 2003, pp. 273–285.

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Article first published online: January 1, 2010
Issue published: January 2010

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Authors

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Mara Chagas Diogenes
Laboratório de Sistemas de Transportes, LASTRAN, Programa de Pós-Graduação em Engenharia de Produção—PPGEP, Universidade Federal do Rio Grande do Sul, UFRGS, Av. Osvaldo Aranha, 99–5° andar, Porto Alegre–RS, 90035-190, Brazil.
Luis Antonio Lindau
Laboratório de Sistemas de Transportes, LASTRAN, Programa de Pós-Graduação em Engenharia de Produção—PPGEP, Universidade Federal do Rio Grande do Sul, UFRGS, Av. Osvaldo Aranha, 99–5° andar, Porto Alegre–RS, 90035-190, Brazil.

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