Target setting for the reduction of road traffic deaths in Brazilian municipalities
DOI:
https://doi.org/10.14295/transportes.v30i3.2704Keywords:
Target setting, Road safety, BenchmarkingAbstract
Establishing targets for reducing road traffic deaths is a fundamental step in the road safety management process. The National Plan for the Reduction of Traffic Deaths and Injuries (PNATRANS) sets targets for the reduction of traffic deaths and injuries, setting 50% reductions in death rates per 100,000 inhabitants and deaths per 10,000 vehicles, within 10 years. However it does not address how the state targets and the national target should be implemented by decision makers in Brazilian municipalities individually. This work aims to suggest targets for reducing traffic deaths in Brazilian municipalities. The methodology included the application of Principal Component Analysis and
k-means clustering in order to group municipalities according to three categories of indicators for the 2017-2019 three-year period: final outcome indicators, intermediate outcome indicators and socioeconomic indicators. This process resulted in the creation of 77 groups of municipalities, based on 12 variables, for which the individual goal was established through the application of the benchmarking cycle. As a result, targets for the reduction of traffic deaths were obtained for each Brazilian municipality, which resulted in an accumulated national reduction target of 56%, a similar value compared to the World Health Organization recommendation in the horizon until 2030.
Downloads
References
Abdi, H. e Williams, L. J. (2010) Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), p. 433–459. DOI: 10.1002/wics.101.
Al-Haji, G. (2007) Road Safety Development Index (RSDI) - Theory, Philosophy and Practice. Tese (doutorado). Linköping Univer-sity. Linköping.
Allsop, R. E.; Sze, N. N. e Wong, S. C. (2011) An update on the association between setting quantified road safety targets and road fatality reduction. Accident Analysis & Prevention, v. 43(3), p. 1279–1283. DOI: 10.1016/j.aap.2011.01.010.
Anwaar, A. et al. (2012) Factors affecting highway safety, health care services, and motorization - an exploratory empirical analy-sis using aggregate Data. Journal of Transportation Safety & Security, v. 4, p. 94–115. DOI: 10.1080/19439962.2011.619372.
Atlas do Desenvolvimento Humano no Brasil (2020) AtlasBR - Consultas. Disponível em: <http://www.atlasbrasil.org.br/consulta> (acesso em: 03/01/2021).
Bastos, J. T. (2014) Análise Estratégica da Segurança Viária no Brasil: Pesquisa de índices e indicadores. Tese (doutorado). Universidade de São Paulo / Hasselt University. São Paulo.
Bastos, J. T. et al. (2015) Traffic fatality indicators in Brazil: State diagnosis based on data envelopment analysis research. Accident Analysis & Prevention, v. 81, p. 61–73. DOI: 10.1016/j.aap.2015.01.024.
Bastos, J. T.; Suguinoshita, M.C.; et al. (2016) Estimativa de Metas de Redução do Número de Mortes no Trânsito no Brasil. Em Anais do XXX Congresso da Associação Nacional de Pesquisa e Ensino em Transportes. Rio de Janeiro: ANPET.
Bastos, J. T.; Orellana, J. P.; et al. (2016) Mortalidad de ocupantes de motocicleta en Brasil: diagnóstico y establecimiento de metas de reducción. Em V Congreso Iberoamericano de Seguridad Vial.
Bliss, T. e Breen, J. (2012) Meeting the management challenges of the Decade of Action for Road Safety. IATSS Research, v. 35(2), p. 48–55. DOI: 10.1016/j.iatssr.2011.12.001.
Brasil (2012) Lei no 12.587, de 3 de janeiro de 2012. Política Nacional de Mobilidade Urbana. Disponível em: <http://www.planalto.gov.br/ccivil_03/_ato2011-2014/2012/lei/l12587.htm>.
Brasil (2018) Lei no 13.614, de 11 de janeiro de 2018 - Cria o Plano Nacional de Redução de Mortes e Lesões no Trânsito (PNATRANS). Brasília: Presidência da República.
Chen, F. et al. (2016) Benchmarking road safety performance: Identifying a meaningful reference (best-in-class). Accident Analysis & Prevention, v. 86, p. 76–89. DOI: 10.1016/j.aap.2015.10.018.
DENATRAN (2000) Municipalização do trânsito - roteiro para aplicação. Departamento Nacional de Trânsito - Ministério da Infraestrutura. Disponível em: <http://www.destran.com.br/links/transito/legislacao_manual.pdf>.
DENATRAN (2020) Estatísticas - Frota de veículos. Departamento Nacional de Trânsito - Ministério da Infraestrutura. Disponível em: <https://www.infraestrutura.gov.br/component/content/article/115-portal-denatran/8552-estatísticas-frota-de-veículos-denatran.html>.
Elvik, R. (2001) Quantified road safety targets: An assessment of evaluation methodology. Oslo: Institute of Transport Economics - Norwegian Centre for Transport Research. Disponível em: <https://www.toi.no/publications/quantified-road-safety-targets-an-assessment-of-evaluation-methodology-article18040-29.html>.
European Commission (2019) COMMISSION STAFF WORKING DOCUMENT - EU Road Safety Framework 2021 - 2030 - Next steps towards ‘Vision Zero’. DOI: 10.2832/391271
European Road Safety Observatory (2018) Quantitative Road Safety Targets 2018. European Commission.
Gaygisiz, E. (2009) Economic and cultural correlates of road-traffic accident fatality rates in OECD countries. Perceptual and Motor Skills, v. 109, p. 531–545. DOI: 10.2466/PMS.109.2.531-545.
Gitelman, V.; Auerbach, K. e Doveh, E. (2013) Development of road safety performance indicators for trauma management in Europe. Accident Analysis & Prevention, v. 60, p. 412–423. DOI: 10.1016/j.aap.2012.08.006.
Hermans, E. et al. (2009) Benchmarking road safety: Lessons to learn from a data envelopment analysis. Accident Analysis & Prevention, v. 41(1), p. 174–182. DOI:10.1016/j.aap.2008.10.010.
IBGE (2020) Produto Interno Bruto dos municípios. Disponível em: <https://sidra.ibge.gov.br/>.
James, G. et al. (2021) An Introduction to Statistical Learning with Applications in R. Second edition. New York: Springer. DOI:10.1007/978-1-4614-7138-7
MacQueen, J. (1967) Some methods for classification and analysis of multivariate observations. Em Proceedings of the Fifth Berke-ley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics. Berkeley, Calif.: University of California Press, p. 281– 297. Disponível em: <https://projecteuclid.org/euclid.bsmsp/1200512992>.
Ministério da Infraestrutura. (2021). RESOLUÇÃO CONTRAN No 870, DE 13 DE SETEMBRO DE 2021. Dispõe sobre o Plano Nacional de Mortes e Lesões no Trânsito (PNATRANS), instituído pela Lei no 13.614, de 11 de janeiro de 2018. CONTRAN. Disponível em: <https://www.gov.br/infraestrutura/pt-br/assuntos/transito/conteudo-contran/resolucoes/resolucao8702021.pdf>
Ministério da Saúde (2020a) Óbitos Por Causas Externas. Departamento de Informática do SUS - DATASUS. Disponível em: <http://tabnet.datasus.gov.br/>.
Ministério da Saúde (2020b) População residente em 2019 - Estimativas para o TCU. Disponível em: <http://tabnet.datasus.gov.br/>.
Ministério da Saúde (2021) Rede Assistencial, Departamento de Informática do SUS - DATASUS. Disponível em: <http://www2.datasus.gov.br/DATASUS/index.php?area=0204>.
Nikolaou, P. e Dimitriou, L. (2018) Evaluation of road safety policies performance across Europe: Results from benchmark analy-sis for a decade. Transportation Research Part A: Policy and Practice, v. 116, p. 232–246. DOI:10.1016/j.tra.2018.06.026.
PIARC (2021) Road Safety Manual. World Road Association.
Shen, Y. et al. (2012) Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis & Prevention, v. 48, p. 430–441. DOI: 10.1016/j.aap.2012.02.020.
Shen, Y. et al. (2015) Inter-national benchmarking of road safety: State of the art. Transportation Research Part C: Emerging Technologies, v. 50. DOI: 10.1016/j.trc.2014.07.006.
Sun, L. et al. (2019) Road traffic safety: an analysis of the cross-effects of economic, road and population factors. Chinese Journal of Traumatology, v. 22, p. 290–295. DOI: 10.1016/j.cjtee.2019.07.004.
Wegman, F. et al. (2008) SUNflowerNext: Towards a composite road safety performance index. Leidschendam: SWOV (Cdv). Disponível em: .
Wegman, F. (2016) Road safety data collection, analysis, indicators and targets. Em Halving the Number of Road Deaths in Korea. Korea: OECD, p. 83–102.
Wegman, F. e Oppe, S. (2010) Benchmarking road safety performances of countries. Safety Science, v. 48(9), p. 1203–1211. DOI: 10.1016/j.ssci.2010.02.003.
WHO (2011) Global Plan for the Decade of Action for Road Safety 2011-2020.
WHO (2020) Stockholm Declaration - Third Global Ministerial Conference on Global Safety: Achieving Global Goals 2030. Stock-holm.
WHO (2021) Global Plan - Decade of Action for Road Safety 2021-2030. Disponível em: <https://cdn.who.int/media/docs/default-source/documents/health-topics/road-traffic-injuries/global-plan-for-road-safety.pdf?sfvrsn=65cf34c8{_}33{&}download=true>.
Wong, S. C. et al. (2006) Association between setting quantified road safety targets and road fatality reduction. Accident Analysis & Prevention, v. 38(5), p. 997–1005. DOI: 10.1016/j.aap.2006.04.003.
Yu, Q. et al. (2015) A Forecasting Model for Setting Road Safety Targets Based on Time Series Analysis. Em CICTP 2015. 15th COTA International Conference of Transportation Professionals, Beijing, China: American Society of Civil Engineers, p. 2985–2992. DOI:10.1061/9780784479292.275.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Pedro Augusto Borges dos Santos, André Victor Igarashi, Francisco Vieira Garonce, Paulo Roberto Guimarães Júnior, Jorge Tiago Bastos
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who submit papers for publication by TRANSPORTES agree to the following terms:
- Authors retain copyright and grant TRANSPORTES the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors may enter into separate, additional contractual arrangements for the non-exclusive distribution of this journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in TRANSPORTES.
- Authors are allowed and encouraged to post their work online (e.g., in institutional repositories or on their website) after publication of the article. Authors are encouraged to use links to TRANSPORTES (e.g., DOIs or direct links) when posting the article online, as TRANSPORTES is freely available to all readers.
- Authors have secured all necessary clearances and written permissions to published the work and grant copyright under the terms of this agreement. Furthermore, the authors assume full responsibility for any copyright infringements related to the article, exonerating ANPET and TRANSPORTES of any responsibility regarding copyright infringement.
- Authors assume full responsibility for the contents of the article submitted for review, including all necessary clearances for divulgation of data and results, exonerating ANPET and TRANSPORTES of any responsibility regarding to this aspect.
