Transactions on Transport Sciences 2020, 11(3):4-11

Evaluating the road safety of local municipalities with application of GRA: Montenegro case study

Mirjana Grdinić-Rakonjac, Vladimir Pajković
Faculty of Mechanical Engineering, University of Montenegro, Džordža Vašingtona, Podgorica, 81000, Montenegro

Evaluation of road safety is the core of road safety management, and to prevent traffic accidents, an understanding of the factors that cause them is essential. Currently, road safety experts show great interest in finding one fair approach to evaluate and compare road safety situations in different territories. Previously, the assessment of the situation and comparisons were based on the size of the consequences in traffic accidents but recently, the road safety experts turned to observing and comparing safety indicators as a more humane approach, given that in this way critical aspects can be seen at an early stage and before accidents occur. Over time, an approach of describing the road safety situation with a composite index has been developed in which a large number of indicators have been aggregated. The composite traffic safety index is a useful tool in assessing the safety situation that provides comparison, monitoring and communication between different territories and defines the elements of the system that need to be improved. The methodological development of the index construction continues today. The main steps of the mentioned process are the selection of the relevant set of indicators and determining the influence of each of them. In this paper, a set of ten hierarchical road safety indicators in terms of final outcomes, the road users' behavior and basic territory information are weighted with grey relational analysis and aggregated in order to calculate one composite index score of 21 municipalities of Montenegro. Grey relational analysis can measure the relative importance among indicators, implying that those with higher grey weight values are more significant than those with lower grey weights. However, it cannot be claimed that indicator with the highest weight has the greatest impact on accidents occurrence, but it certainly indicates a field where strategies can be adopted to improve level of road safety.

Keywords: road safety; local municipalities; grey relational analysis; case study

Received: August 22, 2020; Revised: October 21, 2020; Accepted: November 18, 2020; Prepublished online: December 9, 2020; Published: December 17, 2020  Show citation

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Grdinić-Rakonjac, M., & Pajković, V. (2020). Evaluating the road safety of local municipalities with application of GRA: Montenegro case study. Transactions on Transport Sciences, 11(3), 4-11
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    References

    1. Al- Haji, G. (2005). Towards a Road Safety Development Index (RSDI)-Development of an International Index to Measure Road Safety Performance. Department of Science and Technology. Norrköping: Linköping University. Retrieved from http://www.divaportal.org/smash/get/diva2:20332/FULLTEXT01.pdf
    2. Al- Haji, G. (2007). Road Safety Development Index (RSDI): Theory, Philosophy and Practice. Department of Science and Technology. Norrköping: Linköping University. Retrieved from http://ir.nmu.org.ua/bitstream/handle/123456789/126470/0bb47fc915be24e29d6a9f7912a5abe3.pdf?sequence=1
    3. Bao, Q. (2010). Multi-criteria decision making techniques for combining different sets of road safety performance indicators into an overall index. Master thesis, Interfaculty institute transportation sciences, University of Hasselt. Retrieved from https://documentserver.uhasselt.be/bitstream/1942/12553/1/08275732009335.pdf
    4. Bastos, J. T. (2014). Road safety strategic analysis in Brazil: Indicator and index research. Doctoral Thesis, Escola de Engenharia de São Carlos, Universityof São Paulo, São Carlos. Retrieved from http://www.teses.usp.br/teses/disponiveis/18/18144/tde-08042015-103747/
    5. Bastos, J. T., Shen, Y., Hermans, E., Brijs, T., Wets, G., & Ferraz, A. C. P. (2015). Traffic fatality indicators in Brazil: state diagnosis based on data envelopment analysis research. Accident Analysis and Prevention, 81, 61-73. https://doi.org/10.1016/j.aap.2015.01.024 Go to original source...
    6. Bastos, J. T., Shen, Y., Hermans, E., Brijs, T., Wets, G., & Ferraz, A. C. P. (2016). Road safety performance in Brazil: towards a composite indicator. In 17th International Conference Road Safety On Five Continents (RS5C 2016), Rio de Janeiro, Brazil, 17-19 May 2016 (pp. 1-12). Statens väg-och transportforskningsinstitut. Retrieved from http://www.divaportal.org/smash/record.jsf?pid=diva2%3A927896&dswid=-5643
    7. Bird, S.M., Cox, D., Farewell, V.T., Goldstein, H., Holt, T., & Smith, P.C., (2005). Performance indicators: good, bad, and ugly. Journal of the Royal Statistical Society: Series A, 168(1), 1-27. https://doi.org/10.1111/j.1467-985X.2004.00333.x Go to original source...
    8. Chen, F., Wu, J., Chen, X., Wang, J., & Wang, D. (2016). Benchmarking road safety performance: Identifying a meaningful reference (best-in-class). Accident Analysis and Prevention, 86, 76-89. https://doi.org/10.1016/j.aap.2015.10.018 Go to original source...
    9. Deng, J. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1-24. Retrieved from https://link.springer.com/chapter/10.1007/978-3-642-16158-2_1
    10. European Council. (2010) European Council conclusions on road safety. 2 December 2010; paragraph 21, ST 16951/10. Retrieved from https://www.gov.uk/government/speeches/eu-transport-council--20
    11. European Transport Safety Council. (2001). Transport Safety Performance Indicators. Brussels, http://etsc.eu/wp-content/uploads/Transportsafety-performance-indicators.pdf
    12. Gitelman, V., Doveh E., & Hakkert S. (2010). Designing a composite indicator for road safety. Safety Science. 48, 1212-1224. https://doi.org/10.1016/j.ssci.2010.01.011 Go to original source...
    13. Hakkert, S., & Gitelman, V. (2007a). Road Safety Performance Indicators: Manual. Loughborough University. Deliverable D3.8 of the EU FP6 project SafetyNet. Retrieved from http://erso.swov.nl/safetynet/fixed/WP3/sn_wp3_d3p8_spi_manual.pdfHakkert, S., Gitelman, V., and Vis, M. (2007b). Road Safety Performance Indicators: Theory. Loughborough University. Deliverable D3.6 of the EU FP6 project SafetyNet. Retrieved from http://erso.swov.nl/safetynet/fixed/WP3/sn_wp3_d3p6_spi_theory.pdfHermans, E., Brijs, T., and Geert, W. (2008a). Developing a Theoretical Framework for Road Safety Performance Indicators and a Methodology for Creating a Performance Index. Diepenbeek: University of Hasselt Retrieved from https://doclib.uhasselt.be/dspace/handle/1942/10796
    14. Hermans, E., Ruan, D., Brijs, T., Wets, G., and Vanhoof, K. (2010). Road safety risk evaluation by means of ordered weighted averaging operators and expert knowledge. Knowledge-Based Systems, 23(1), 48-52. https://doi.org/10.1016/j.knosys.2009.07.004 Go to original source...
    15. Hermans, E., Van den Bosshe, F., & Wets, G. (2008b). Combining road safety information in a performance index. Accident Analysis and Prevention, 40, 1337-1344, https://doi.org/10.1016/j.aap.2008.02.004 Go to original source...
    16. Liu, Y., Huang, X., Duan, J., & Zhang, H. (2017). The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method. Nat Hazard. 88, 1409-1422. https://doi.org/10.1007/s11069-017-2923-2 Go to original source...
    17. LTSA (2000). Road safety strategy 2010. A consultation document. National Road Safety Committee. http://www.ltsa.govt.nz/publications/rs-framework.html
    18. Lu, M., & Wevers, K. (2007). Application of grey relational analysis for evaluating road traffic safety measures: advanced driver assistance systems against infrastructure redesign. IET Intelligent Transport Systems, 1(1), 3-14. http://dx.doi.org/10.1049/iet-its:20060022 Go to original source...
    19. Ma, Z., Shao, C., Ma, S., & Ye, Z. (2011). Constructing road safety performance indicators using Fuzzy Delphi Method and Grey Delphi Method. Expert Systems with Applications, 38, 1509-1514. https://doi.org/10.1016/j.eswa.2010.07.062 Go to original source...
    20. OECD & European Commission. (2008) Handbook of constructing composite indicators. Methodology and user quide. Paris. ISBN 978-92-64-04345-9. Retrieved from https://www.oecd.org/sdd/42495745.pdf Go to original source...
    21. René, S. H., Becker, U., & Manz, H. (2016). Grey system theory time series prediction applied in road traffic safety in Germany. IFAC-PapersOnLine, 49(3), 231-236. https://doi.org/10.1016/j.ifacol.2016.07.039 Go to original source...
    22. Shen, Y., Hermans, E., Ruan, D., Wets, G., Brijs, T., & Vanhoof, K. (2011). Modeling qualitative data in data envelopment analysis for composite indicators. International Journal of System Assurance Engineering and Management, 2(1), 21-30. https://doi.org/10.1007/s13198-011-0051-z Go to original source...
    23. Shen, Y., Hermans, E., Brijs, T., Wets, G., & Vanhoof, K. (2012). Road safety risk evaluation and target setting using data envelopment analysis and its extensions. Accident Analysis and Prevention. 48. 430-441. https://doi.org/10.1016/j.aap.2012.02.020 Go to original source...
    24. Shen, Y., Hermans, E., Bao, Q., Brijs, T., & Wets, G. (2013). Road safety development in Europe: A decade of changes (2001-2010). Accident Analysis and Prevention. 60. 85-94. http://dx.doi.org/10.1016/j.aap.2013.08.013 Go to original source...
    25. Vis, M. A. (2005). Deliverable D3.1: State of the art Report on Road Safety Performance Indicators. Loughborough University. SWOV. Retrieved from http://erso.swov.nl/safetynet/fixed/WP3/Deliverable%20wp%203.1%20state%20of%20the%20art.pdf
    26. Wegman, F., & Oppe, S. (2010). Benchmarking road safety performances of countries. Safety Science, 48, 1203-1211. https://doi.org/10.1016/j.ssci.2010.02.003 Go to original source...
    27. Wegman, F., Commandeur, J., Doveh, E., Eksler, V., Gitelman, V., Hakkert, S., et al. (2008). SUNflowerNext: Towards a composite road safety performance index. Leidschendam: SWOV Institute for Road Safety Research. Retrieved from http://www.swov.nl/rapport/sunflower/sunflowernext.pdf
    28. World Health Organization. (2011). Decade of Action for Road Safety 2011-2020. Saving millions of lives. 2011; Retrieved from http://www.who.int/violence_injury_prevention/publications/road_traffic/saving_millions_lives_en.pdf?ua=1>
    29. World Health Organization. (2018). Global status report on road safety. Geneva. Licence: CC BYNC-SA 3.0 IGO. ISBN 978-92-4-156568-4 Retrieved from https://www.who.int/violence_injury_prevention/road_safety_status/2018/en/

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