A New Approach for Index Construction: The Case of the Road User Behavior Index
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F21%3A10245676" target="_blank" >RIV/61989100:27510/21:10245676 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S036083522030663X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S036083522030663X</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.cie.2020.106993" target="_blank" >10.1016/j.cie.2020.106993</a>
Alternative languages
Result language
angličtina
Original language name
A New Approach for Index Construction: The Case of the Road User Behavior Index
Original language description
In recent years, composite indicators have become increasingly recognized as a useful tool for performance evaluation, benchmarking, and decision-making by summarizing complex and multidimensional issues. In this study, we focus on the application of data envelopment analysis (DEA) on index construction in the context of road safety and highlight the shortcomings of using the classical DEA models. The DEA method assigns a weight to each indicator by selecting the best set of weights for the unit under evaluation. The flexibility in selecting the weights in the classical DEA approach may lead to two interrelated problems: compensability and unfairness. These shortcomings are, respectively, overcome traditionally by imposing weight restrictions and applying a common weights approach. However, the problem of evaluating a layered hierarchy of indicators with a common set of weights (CSW) has not been addressed in the literature. To fill this gap, we propose a new approach for index construction to determine an optimal CSW to assess all units simultaneously while reflecting the hierarchical structure of the indicators in the model. The applicability of the suggested common-weight approach is illustrated by a case study on constructing a road user behavior index for a set of European countries. From a theoretical point of view, our approach provides a fair and identical basis for evaluation and comparison of countries in terms of driver's behaviors and, from a practical point of view, it significantly reduces the required computational burden for solving the formulated model. The obtained results clarify the sharper discrimination power of our model compared to the other methods in the literature
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
<a href="/en/project/GA19-13946S" target="_blank" >GA19-13946S: Performance evaluation in the presence of unclassified factors</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Computers and Industrial Engineering
ISSN
0360-8352
e-ISSN
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Volume of the periodical
152
Issue of the periodical within the volume
February
Country of publishing house
GB - UNITED KINGDOM
Number of pages
12
Pages from-to
106993
UT code for WoS article
000614112600010
EID of the result in the Scopus database
2-s2.0-85098474966