Construction of Road Safety Composite Indicator Using Grey Relational Analysis

  • Mirjana Grdinić-Rakonjac University of Montenegro, Faculty of Mechanical Engineering, Podgorica, Montenegro https://orcid.org/0000-0003-3497-7744
  • Boris Antić University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia
  • Dalibor Pešić University of Belgrade, Faculty of Transport and Traffic Engineering, Belgrade, Serbia
  • Vladimir Pajković University of Montenegro, Faculty of Mechanical Engineering, Podgorica, Montenegro
Keywords: road safety, composite indicator, weighting method, grey relational analysis, grey weights, case study

Abstract

Aggregation of different variables into one road safety performance index is a popular concept in evaluating road safety and comparing the performance of territories/entities. This paper presents the development of a novel and innovative weighting methodology using grey relational analysis. Based on the proposed model, ten hierarchical road safety indicators were selected in terms of a two-layered model with three categories related to behaviour, safety and system. Grey weights are assigned to the categorized indicators in each layer, and the grey road safety composite indicator for each entity (21 selected territories) is calculated by the weighted sum approach. With relatively high weights, this systematic methodology can serve the policy makers in targeting the risk domains where improvements are needed. The results clearly illustrate effectiveness in addressing a large number of indicators with hierarchical structures.

References

World Health Organization. Global status report on road safety 2018. Available from: https://www.who.int/publications/i/item/global-status-report-on-road-safety-2018

European Council. European Council conclusions on road safety. Available from: http://data.consilium.europa.eu/doc/document/ST-9994-2017-INIT/en/pdf

World Health Organization. Decade of Action for Road Safety 2011–2020. Saving millions of lives. 2011. Available from: http://www.who.int/violence_injury_prevention/publications/road_traffic/saving_millions_lives_en.pdf?ua=1

United Nations. Transforming Our World: The 2030 Agenda for Sustainable Development. Available from: https://sustainabledevelopment.un.org/post2015/transformingourworld

Ministry of the Interior. Strategy for improvement of road traffic safety 2010-2019. Podgorica; 2009.

Government of Montenegro. Action plan for Strategy for improvement of road traffic safety implementation. Podgorica; 2011.

European Commission. Road Safety in the European Union – Trends, statistics and main challenges. Available from: https://ec.europa.eu/transport/road_safety/sites/roadsafety/files/vademecum_2018.pdf

European Transport Safety Council. 2010 Road Safety Target Outcome: 100,000 fewer deaths since 2001. ETSC. 5th Road Safety PIN Report, 2011.

Al-Haji G. Development of an International Index to Measure Road Safety Performance. Linköping Studies in Science and Technology, Norrköping, Sweden; 2005.

Al-Haji G. Road Safety Development Index (RSDI) Theory, Philosophy and Practice. PhD thesis No. 1100. Department of Science and Technology, Linköping University, Sweden; 2007.

Hakkert AS, Gitelman V, Vis MA (ed.). Road Safety Performance Indicators: Theory. Deliverable D3.6 of the EU FP6 Project SafetyNet; 2007.

Wegman F, Commandeur J, Doveh E, Eksler V. SUNflowerNext: Towards A Composite Road Safety Performance Index. SWOV, Leidschendam; 2008.

Hermans E, Van den Bossche F, Wets G. Combining road safety information in a performance index. Accident Analysis and Prevention. 2008;40: 1337-1344. DOI: 10.1016/j.aap.2008.02.004

European Commission. Handbook of constructing composite indicators. Methodology and user quide. Paris; 2008. Available from: https://www.oecd.org/sdd/42495745.pdf

Wegman F, Oppe S, Benchmarking road safety performances of countries. Safety Science. 2010;48: 1203-1211. DOI: 10.1016/j.ssci.2010.02.003

Gitelman V, Doveh E, Hakkert S. Designing a composite indicator for road safety. Safety Science. 2010;48: 1212-1224. DOI: 10.1016/j.ssci.2010.01.011

Pešić D, Vujanić M, Lipovac K, Antić B. New method for benchmarking traffic safety level for the territory. Transport. 2013;28(1): 69-80. DOI: 10.3846/16484142.2013.781539

Kukić D, Lipovac K, Pešić D, Rosić M. The differences of road safety performance of countries based on outcome indicators. Safety Science. 2016;89: 279-287. DOI: 10.1016/j.ssci.2016.07.005

Tešić M, Hermans E, Lipovac K, Pešić, D. Identifying the most significant indicators of the total road safety performance index. Accident Analysis and Prevention. 2008;113: 263-278. DOI: 10.1016/j.aap.2018.02.003

Lu M, Wevers K. Application of grey relational analysis for evaluating road traffic safety measures: Advanced driver assistance systems against infrastructure redesign. IET Intelligent Transport Systems. 2007;1(1): 3-14. DOI: 10.1049/iet-its-20060022

Ma Z, Shao C, Ma S, Ye Z. Constructing road safety performance indicators using Fuzzy Delphi Method and Grey Delphi Method. Expert Systems with Applications. 2011;38: 1509-1514. DOI: 10.1016/j.eswa.2010.07.062

René SH, Becker U, Manz H. Grey system theory time series prediction applied in road traffic safety in Germany. IFAC-PapersOnLine. 2016;49(3): 231-236. DOI: 10.1016/j.ifacol.2016.07.039

Liu Y, Huang X, Duan J, Zhang H. The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method. Nat Hazard. 2017;88: 1409-1422. DOI: 10.1007/s11069-017-2923-2

Deng J. Introduction to grey system theory. The Journal of Grey System. 1989;1(1): 1-24.

Chen F, Wu J, Chen X, Wang J, Wang D. Benchmarking road safety performance: Identifying a meaningful reference (best-in-class). Accident Analysis and Prevention. 2016;86: 76-89. DOI: 10.1016/j.aap.2015.10.018

SafetyNet. State-of-the-art Report on Road Safety Performance Indicators. Work Package 3, Integrated Project; 2005. Available from: https://erso.swov.nl/safetynet/fixed/WP3/Deliverable%20wp%203.1%20state%20of%20the%20art.pdf

IRTAD – International Transport Forum. Road Safety Annual Report 2014. Available from: http://www.oecd-ilibrary.org/transport/road-safety-annual-report-2014_irtad-2014-en

Antić B, Grdinić M, Pešić D. Pajković V. Benchmarking of the road safety performance among the regions by using DEA. Transportation Research Procedia. 2020;45: 78-86. DOI: 10.1016/j.trpro.2020.02.065

Cheng X, Wu Y, Ning P, Cheng P, Schwebel CD, Hu G. Comparing road safety performance across countries: Do data source and type of mortality indicator matter? Accident Analysis and Prevention. 2018;121: 129-133. DOI: 10.1016/j.aap.2018.09.012

European Commission. 2018 road safety statistics: What is behind the figures? Available from: https://ec.europa.eu/commission/presscorner/detail/en/MEMO_19_1990

Published
2021-01-31
How to Cite
1.
Grdinić-Rakonjac M, Antić B, Pešić D, Pajković V. Construction of Road Safety Composite Indicator Using Grey Relational Analysis. Promet [Internet]. 2021Jan.31 [cited 2024Nov.21];33(1):103-16. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3587
Section
Articles