Combining Traffic Safety Exposure Indicators in a Composite Exposure Index

  • Bojana Todosijević University of Belgrade, Faculty of Transport and Traffic Engineering
  • Dalibor Pešić University of Belgrade, Faculty of Transport and Traffic Engineering
  • Boris Antić University of Belgrade, Faculty of Transport and Traffic Engineering
  • Krsto Lipovac University of Belgrade, Faculty of Transport and Traffic Engineering
  • Filip Filipović University of Belgrade, Faculty of Transport and Traffic Engineering
DOI: https://doi.org/10.7307/ptt.v34i2.3928
Keywords: exposure, indicators, risk, TOPSIS, PROMETHEE

Abstract

The problem of choosing only one relevant safety performance indicator for the purpose of comparing and assessing road safety situations has been the subject of many recent research studies. This paper shows the concept of creating a composite exposure index based on available data. The procedure of creating a model for calculating this indicator is based on the analysis of quality of individual exposure indicators and the size of their impact on the direct safety performance indicators – number of road crashes and their consequences. The following four models (TOPSIS EQUAL, TOPSIS CRIT-IC, PROMETHEE EQUAL, PROMETHEE CRITIC) for determining weighted coefficients of the individual indi-cators that participate in the creation of the composite exposure index have been analysed in this paper. The method used for defining the composite exposure index is the “high-efficiency method” based on which the final shape of the model for defining the composite exposure index has been defined. The main aim of this paper is to create a model for defining the composite index of traffic exposure. The final outcome is to provide an opportuni-ty to evaluate and rank traffic safety levels based on the unique road traffic risk.

References

Wegman F, Oppe S. Benchmarking road safety performances of countries. Saf Sci. 2010;48(9): 1203–11. doi: 10.1016/j.ssci.2010.02.003.

Eksler V. Measuring and understanding road safety performance at local territorial level. Saf Sci. 2010;48(9): 1197–202. doi: 10.1016/j.ssci.2009.12.010.

Hakkert AS, Braimaister L. The uses of exposure and risk in road safety studies. SWOV Institute for Road Safety Research. Report No. R-2002-12, 2002. https://www.swov.nl/sites/default/files/publicaties/rapport/r-2002-12.pdf.

Hauer E. On exposure and accident rate. Traffic Eng Control. 1995;36(3): 134–8. http://cat.inist.fr/?aModele=afficheN&cpsidt=3474157.

Al Haji G. Road safety development index (RSDI): Theory, philosophy and practice; 2007.

Kukić D, Lipovac K, Pešić D, Vujanić M. Selection of a relevant indicator - Road casualty risk based on final outcomes. Saf Sci. 2013;51(1): 165–77. doi: 10.1016/j.ssci.2012.06.016.

Kukić D, Lipovac K, Pešić D, Rosić M. The differences of road safety performance of countries based on outcome indicators. Saf Sci. 2016;89: 279–87. doi: 10.1016/j.ssci.2016.07.005.

New Zealand. Road safety strategy 2010: A consultation document. Wellington N.Z.: National Road Safety Committee, Land Transport Safety Authority; 2000. 102 p. https://www.worldcat.org/title/road-safety-strategy-2010-a-consultation-document/oclc/45502667 [cited 13th June 2019].

Wegman F, Lynam D, Nilsson G. SUNflower: A comparative study of the developments of road safety in Sweden, the United Kingdom, and the Netherlands. SWOV, Leidschendam; 2002. http://www.researchgate.net/publication/228909541_SUNflower_a_comparative_study_of_the_developments_of_road_safety_in_Sweden_the_United_Kingdom_and_the_Netherlands/file/9fcfd50d0eb7ddfb4e.pdf.

Hermans E, Van den Bossche F, Wets G. Combining road safety information in a performance index. Accid Anal Prev. 2008;40(4): 1337–44. doi: 10.1016/j.aap.2008.02.004.

Wang Y, Bai H, Xiang W. Traffic safety performance assessment and multivariate treatments for intersection locations. Balt J Road Bridg Eng. 2011;6(1): 30–8. http://old.bjrbe.vgtu.lt/volumes/en/volume6/number1/05.php [cited 13th June 2019].

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.

Intan Suhana MR, Hamid H, Law TH, Sadullah AFM. Identification of hazardous road sections: Crash data versus composite index method. Int J Eng Technol. 2014;6(6): 481–6. doi: 10.7763/IJET.2014.V6.745.

Shen Y, Hermans E, Brijs T, Wets G. Fuzzy data envelopment analysis in composite indicator construction. In: Emrouznejad A, Tavana M. (eds) Performance Measurement with Fuzzy Data Envelopment Analysis. Studies in Fuzziness and Soft Computing. Vol 309. Springer, Berlin, Heidelberg; 2014. p. 89–100. doi: 10.1007/978-3-642-41372-8_4 [cited 13th June 2019].

Chen F, et al. Benchmarking road safety performance: Identifying a meaningful reference (best-in-class). Accid Anal Prev. 2016;86: 76–89. doi: 10.1016/j.aap.2015.10.018.

Rosić M, et al. Method for selection of optimal road safety composite index with examples from DEA and TOPSIS method. Accid Anal Prev. 2017;98: 277–86. doi: 10.1016/j.aap.2016.10.007.

Tešić M, Hermans E, Lipovac K, Pešić D. Identifying the most significant indicators of the total road safety performance index. Accid Anal Prev. 2018;113(January): 263–78. doi: 10.1016/j.aap.2018.02.003.

Statistical Database - United Nations Economic Commission for Europe. https://w3.unece.org/PXWeb/en [Accessed 29th Jan. 2021].

OECD Statistics. https://stats.oecd.org/ [Accessed 29th Jan. 2021].

Diakoulaki D, Mavrotas G, Papayannakis L. Determining objective weights in multiple criteria problems: The critic method. Comput Oper Res. 1995;22(7): 763–70. doi: 10.1016/0305-0548(94)00059-H.

Hwang C-L, Yoon K. Methods for Multiple Attribute Decision Making. In: Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems. Vol 186. Springer, Berlin, Heidelberg; 1981. p. 58–191. doi: 10.1007/978-3-642-48318-9_3 [cited 13th June 2019].

Lai Y-J, Liu T-Y, Hwang C-L. TOPSIS for MODM. Theory Methodol Eur J Oper Res. 1994;76(3): 486–500. doi: 10.1016/0377-2217(94)90282-8.

Brans JP, Vincke P. A preference ranking organisation method: The PROMETHEE method for multiple criteria decision-making. Manage Sci. 1985;31(6): 647–56. doi: 10.1287/mnsc.31.6.647.

Published
2022-03-31
How to Cite
1.
Todosijević B, Pešić D, Antić B, Lipovac K, Filipović F. Combining Traffic Safety Exposure Indicators in a Composite Exposure Index. Promet [Internet]. 2022Mar.31 [cited 2024Apr.20];34(2):211-2. Available from: https://traffic.fpz.hr/index.php/PROMTT/article/view/3928
Issue
Vol 34 No 2 (2022)
Section
Articles

Copyright (c) 2022 Bojana TODOSIJEVIĆ, Dalibor PEŠIĆ, Boris ANTIĆ, Krsto LIPOVAC, Filip FILIPOVIĆ

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal 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 are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the 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 this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).