Construction of Road Safety Composite Indicator Using Grey Relational Analysis

Grdinić-Rakonjac, Mirjana; Antić, Boris; Pešić, Dalibor; Pajković, Vladimir

doi:10.7307/ptt.v33i1.3587

Cited by 10 publications

(7 citation statements)

References 14 publications

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“…A combination of fuzzy theory and GRA was used by Ma et al [45] for the purpose of creating three different sets of road safety indicators related to experts' attitudes: one related to highways, one related to urban roads, and one related to regional roads. Hu et al [46] used GRA in addition to fuzzy and data envelopment analysis to develop public transport network evaluation, and both Liu et al [47] and Grdinić-Rakonjac et al [48] used GRA to calculate the weights of road safety indicators. In this paper, GRA was applied to the aggregation of weighted indicators and the index construction, as shown in Figure 1.…”

Section: Weighting and Aggregating Methods Combining Spis Into A Comp...mentioning

confidence: 99%

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Pajković

Grdinić-Rakonjac

Antić

2022

Journal of Advanced Transportation

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As the need to assess the level of road safety grows, there is a noticeable tendency of experts to use one overall composite index that contains information on a number of safety performance indicators (SPIs). Indicators commonly used in road safety assessment are numerical, and their natural uncertainty and vagueness are often overlooked. However, there are also SPIs that are rather linguistic, such as data on driver behavior, which are most often collected through questionnaires and are considered qualitative, imprecise, and fuzzy. Together with inappropriate selection of weighting and aggregation methods, such data can be a source of uncertainty and can lead to unreliable results and erroneous conclusions. In this regard, the present study provides a systematic and efficient hybrid method that integrates three different procedures to deal with unavoidable uncertainty in each step of index construction. The application of fuzzy linguistic rating grasp insight into the ambiguity that is intrinsic in drivers’ self-assessment. Entropy describes each observed behavior by quantifying the disorder of a system. Grey relational analysis aggregates behavioral indicators into a composite index, doubting their sufficiency and completeness. A case study of Montenegro has been provided to demonstrate the practical applicability of the proposed method in safety assessment under uncertainty. Results abstracted not wearing the seatbelt as the most common negative behavior among drivers in Montenegro, followed by using the telephone while driving, speeding, and driving under the influence of alcohol. In addition, municipalities are ranked according to the level of road safety.

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Section: Weighting and Aggregating Methods Combining Spis Into A Comp...mentioning

confidence: 99%

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Pajković

Grdinić-Rakonjac

Antić

2022

Journal of Advanced Transportation

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“…After that, decision makers can process the data. Composite indices are obtained by applying this method as follows (Tosun, 2006;Kuo, Yang and Huang, 2008;Jožić, Bajić and Celent, 2015;Maksimović et al, 2016;Patil, Walke Gaurish and Mahesh, 2019;Grdinić-Rakonjac et al, 2021;Kehinde and Chukwuka, 2022): a. At the beginning, it is necessary to normalize the data depending on the type of criteria: i) for benefit criteria ('larger is the better'):…”

Section: Methodsmentioning

confidence: 99%

Has Serbia Reached the Quality of Education of Eu Countries? Multi-Criteria Evaluation

Marković¹

2022

OJBE

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The aim of the paper is to analyse the position of the Republic of Serbia in relation to the performance of education in the countries of the European Union (EU), which was evaluated based on a multi-criteria analysis. For that purpose, the following criteria from the Eurostat database were used: Tertiary educational attainment (age group 25-34), Participation in early childhood education, Adult participation in learning, Share of individuals having at least basic digital skills and Early leavers from education and training. In the ranking of countries, the Grey Relational Analysis (GRA) was applied, while the weighting coefficients were calculated using the equal weighting method. Research shows that Serbia lags far behind EU countries in terms of the quality of education, so educational policy makers must improve that quality in the coming period, especially when it comes to the indicator – Participation in early childhood education. In addition, the hypothesis that highly developed countries (based on GDP per capita) have higher values of the composite index of education was confirmed. The best results are achieved by the countries of Northern Europe, so in improving the level of education, the practice of these countries must be followed and adopted by policy makers.

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“…Many authors have used the grey system theory for this purpose: Kuang et al [37] dealt with a combination of GRA and PROMETHEE II; Thakur and Ramesh [38] used a combination of it and the analytic hierarchy process (AHP); Sakthivel et al [39] combined it with the technique for order preference by similarity to ideal solution (TOPSIS); Xue et al [40] combined it with the fuzzy theory; and Wang [41] combined it with the network nodes. Other ways of applying GRA are given in [42,43], including its combination with DEA in the form of the evaluation and selection of efficient suppliers [44], evaluating the effect of the conditions of both feeding and climate in poultry houses on production performance in a commercial poultry enterprise [45], ranking the efficiency of DMUs [46], and assessing the performance of exchange-traded funds [47].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

Pajković

Grdinić-Rakonjac

2021

Sustainability

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Self-reported behavioural data, being often linguistic variables that represent a qualitative measure of respondents’ opinions/attitudes, are vague, uncertain, and fuzzy in nature. A road safety performance index, based on these fuzzy data, should consider this uncertainty. In this study, fuzzy numbers were used to describe self-reported behaviour on Montenegrin roads, which was further integrated into the data envelopment analysis (DEA), a technique for measuring the relative performance of decision-making units (DMUs). The vagueness of the performance scores obtained in this way was treated with grey relational analysis (GRA). GRA was applied to the cross-efficiency (CE) matrix constructed by the DEA to distinguish Montenegrin municipalities’ performance, with the main goal of describing road safety in the observed territories in the environment of uncertain/grey data. It is concluded that the proposed DEA–GRA model, based on fuzzy data, provides a more reasonable and encompassing measure of performance, and with which the overall ranking position of municipalities can be obtained.

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Construction of Road Safety Composite Indicator Using Grey Relational Analysis

Cited by 10 publications

References 14 publications

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Application of Fuzzy Linguistic Rating and Entropy-Based GRA to Address Uncertainty in Safety Performance Index Construction

Has Serbia Reached the Quality of Education of Eu Countries? Multi-Criteria Evaluation

Evaluation of Road Safety Performance Based on Self-Reported Behaviour Data Set

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