Data Envelopment Analysis for Determining the Efficiency of Variant Solutions for Traffic Flow Organisation

Budimir, Damir; Šoštarić, Marko; Vidović, Krešimir

doi:10.7307/ptt.v31i3.3202

Cited by 3 publications

(2 citation statements)

References 20 publications

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“…Scientists from different countries have dealt with this problem in their research [1][2][3][4]. But so far it has not been possible to solve traffic problems in large cities completely [5][6][7][8]. Accordingly, the feasibility of increasing the efficiency of traffic systems in cities with high traffic is obvious.…”

Section: Introductionmentioning

confidence: 99%

Data Envelopment Analysis for efficient traffic management

Pokushko,

Kuzmich

et al. 2024

ITM Web Conf.

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The paper describes the Data Envelopment Analysis method. It demonstrates its application to study the efficiency of traffic management. The paper solves the problem of increasing the efficiency of a T-junction by increasing exit capacity and optimizing the number of exit traffic lanes. An output-oriented DEA model is applied to solve this problem. The sample uses indicators from 56 similar T-junctions with three entry traffic lanes and a different number of exit traffic lanes.

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Section: Introductionmentioning

confidence: 99%

Data Envelopment Analysis for efficient traffic management

Pokushko,

Kuzmich

et al. 2024

ITM Web Conf.

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“…The publications related to DEA can be divided into two groups: The first group uses data envelopment analysis to evaluate the performance of different organizations and the second group develops the original model theoretically [19] that the present study is from the second one. According to the above information, the aim and innovation of the present study is to propose a new approach of the DEA technique that can measure the productivity of DMUs through efficiency and effectiveness in one stage, interdependently and simultaneously.…”

Section: Introductionmentioning

confidence: 99%

A new approach in the DEA technique for measurement of productivity of decision-making units through efficiency and effectiveness

Esmaeeli¹,

Amiri²,

Taghizadeh³

2021

Scientia Iranica

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So far, numerous studies have been developed to evaluate the performance of decision-making units (DMUs) through data envelopment analysis (DEA) technique in different places, but most of these studies have measured the performance of DMUs by efficiency criteria. The productivity is considered as a key factor in the success and development of DMUs and its evaluation is more comprehensive than efficiency evaluation. Recently, the productivity has been considered in DEA technique. The productivity in these studies is often evaluated through the productivity indexes. These indexes require at least two time periods and also the two important elements of efficiency and effectiveness in these studies are not significantly evident. There are few studies that measure productivity through efficiency and effectiveness. This few researches also measure the efficiency and effectiveness in two stages separately. So, the purpose of this study is to develop a new approach in the DEA technique in order to measure productivity of DMUs through efficiency and effectiveness simultaneously, in one stage and interdependently. One case study demonstrates application of the proposed approach in the branches of a Bank. Using proposed approach revealed that efficient branches are not necessarily productive, but productive branches are also efficient.

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Multi-Criteria Analysis in the Decision-Making Approach for the Linear Ordering of Urban Transport Based on TOPSIS Technique

Hajduk

2021

Energies

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The effects of urban transport are highly concerning. The rapid urbanization and motorization in smart cities have a huge impact on sustainability. The goal of the paper is to analyse the smart cities selected, in terms of the urban transport. This paper presents an overview of research works published between 1991 and 2020 concerning urban transport and MCDM (multi-criteria decision making). The author highlights the importance of decision-making criteria and their weight, as well as techniques. Seven criteria and forty-four objects were used as the input of the approach. The entropy weight method was used to compute the weight of each criterion. The TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) was applied to calculate the assessment and ranking of transport performance for each smart city. Portland was found to be the best location for transport enterprises and projects; Tbilisi was ranked last. The values of the relative closeness coefficient ranged from 0.03504 to 0.921402. Finally, some suggestions for future research are discussed.

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Data Envelopment Analysis for Determining the Efficiency of Variant Solutions for Traffic Flow Organisation

Cited by 3 publications

References 20 publications

Data Envelopment Analysis for efficient traffic management

Data Envelopment Analysis for efficient traffic management

A new approach in the DEA technique for measurement of productivity of decision-making units through efficiency and effectiveness

Multi-Criteria Analysis in the Decision-Making Approach for the Linear Ordering of Urban Transport Based on TOPSIS Technique

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