Use of DEA and PROMETHEE II to Assess the Performance of Older Drivers

Babaee, Seddigheh; Bagherikahvarin, Maryam; Sarrazin, Renaud; Shen, Yongjun; Hermans, Elke

doi:10.1016/j.trpro.2015.09.033

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…DEA is a non-parametric optimization technique using a linear programming tool to measure the relative efficiency of a set of Decision Making Units. In this study, to evaluate the driving performance of each older driver by combining all the 16 hierarchically structured indicators in one index score, a multiple layer DEA based composite indicator model (Babaee, Bagherikahvarin, Sarrazin, Shen, & Hermans, 2015;Drennan & Brecher, 2012).…”

Section: Resultsmentioning

confidence: 99%

Analysis of seaports efficiency in supporting inter-island transportation

Dewa¹,

Sbm²,

Thohir³

et al. 2018

Econ. J. Emerg. Mark.

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This study analyzes the efficiency of 15 ports in Indonesia that connect the islands; users' perceptions on the needs of sea transport facilities both in ships and terminals; and a network of passenger facility needs based on preference. The research uses the sequential mixed method. The results show that 4 of the 15 port samples have not yet reached efficiency. The main reasons why users choose ships are because ships have complete facilities and are therefore more convenient, allow them to carry more goods, at affordable ticket prices, and users usually travel in groups. Users are most concerned with and want complete facilities, comfort, safety and order, viability and accessibility to reach the ports and board the ships.

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Section: Resultsmentioning

confidence: 99%

Analysis of seaports efficiency in supporting inter-island transportation

Dewa¹,

Sbm²,

Thohir³

et al. 2018

Econ. J. Emerg. Mark.

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“…In 1982, the PROMETHEE method was created for the first time, and in 1985 it underwent further development [155–157]. It is currently regarded as a widely used and usable Multiple Criteria Decision Aid tool including application with DEA [158–161]. In comparison to many other MCDM methods, PROMETHEE is a ranking system that is thought of as being simple in conception and computation.…”

Section: Discussionmentioning

confidence: 99%

Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Zubir,

Noor,

Rizal

et al. 2023

Preprint

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Data Envelopment Analysis (DEA) has been employed as a performance evaluation tool in the evaluation of efficiency and productivity in numerous fields. This includes hospitals in particular as well as the broad healthcare industry. This review examines 89 papers that discuss the use of DEA in hospitals, paying particular attention to approaches for choosing inputs and outputs as well as the most recent developments in DEA studies. English articles with empirical data from year 2014-2022 (Web of Science, Scopus, PubMed, ScienceDirect, Springer Link, and Google Scholar) were extracted based on PRISMA methodology. DEA Model parameters were specified based on previous studies and approaches were identified narratively. The approaches can be grouped into four: (1) Literature review, (2) Data availability, (3) Systematic method and (4) Expert judgement. The approaches were applied as one strategy either by itself or in combination with others. This review's emphasis on approaches used in hospital may constrain its conclusions. There might be another strategy or method used to select the input and output for a DEA study in a different area or strategies based on different viewpoints. The trend for DEA application were quite similar to previous studies. There is no evidence that one model fits all DEA model parameters better than another. Based on the reviewed literature, we offer some recommendations and methodological principles for DEA studies.

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“…Concerning the mobility and road safety, a study has been held to evaluate the performance of elderly drivers and outrank them using PROMETHEE as a MCDA approach with composite indicators, because of the direct impact of drivers on the transportation and the ratio of traffic accidents (Babaee et al, 2015). PROMETHEE suffers from rank reversal drawback, which is the possibility of changing alternatives ranking in case of adding or deleting a criterion or an action, (Ishizaka and Resce, 2020) avoided this problem by using Best-Worst method.…”

Section: Literature Reviewmentioning

confidence: 99%

Review of PROMETHEE method in transportation

Oubahman

Duleba

2021

Production Engineering Archives

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In recent decades, decision support system has been constantly growing in the field of transportation planning. PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is an efficient decision-making support deployed in case of a finite number of criteria. It provides a partial ranking through PROMETHEE I and a complete ranking with PROMETHEE II. This outranking methodology is characterized by the elimination of scale effects between criteria and managing incomparability with the comprehensive ranking. However, PROMETHEE does not provide guidance to assign weights to criteria and assumes that decision makers are able to allocate weights. This review presents an overview of PROMETHEE models applied in transportation and points out the found gaps in literature.

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Use of DEA and PROMETHEE II to Assess the Performance of Older Drivers

Cited by 14 publications

References 31 publications

Analysis of seaports efficiency in supporting inter-island transportation

Analysis of seaports efficiency in supporting inter-island transportation

Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Review of PROMETHEE method in transportation

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