Use of DEA to identify urban geographical zones with special difficulty for freight deliveries

Muñuzuri, Jesús; Muñoz-Díaz, María-Luisa

doi:10.1016/j.jtrangeo.2019.102490

Cited by 11 publications

(2 citation statements)

References 44 publications

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“…DEA is a non-parametric approach that measures the relative efficiency of DMUs by comparing multiple inputs with outputs [40] But, while doing this, DEA does not need to anticipate the relationships between inputs and outputs [15]; [25]. DEA accepts the efficiency levels of the highest performing DMUs as a limit, and then calculates the potential improvements of these units needed to in order for other DMUs to make it more effective according to this limit.…”

Section: Model Selectionmentioning

confidence: 99%

Operational Effıciency and Energy Saving Analysis of Urban Transportation: The Case of Akcaray

Aydın

2022

Journal of Engineering Technology and Applied Sciences

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Light rail systems are sustainable, energy-efficient, and eco-friendly alternatives to public transport systems that can offer solutions to increasing traffic density. As a solution to that traffic congestion, Akcaray, the first public transportation light rail system in Kocaeli, was launched by Ulasımpark in Kocaeli in 2017. In this study, operational efficiency and service level performance of 12 trams belonging to Akcaray, and 4 bus lines that interact with Akcaray route are compared with one another by Data Envelopment Analysis. It is found out that while the performance efficiency score of Akcaray is 100% in all 12 trams, it is 100% for one bus line only out of 4 busses. In addition, transportation costs, such as energy/fuel, maintenance cost, accident and environmental costs are calculated, and compared separately for both transportation options. Because Akcaray offers less energy consumption per passenger, it is calculated that USD 317,737/year can be saved, thus as a result, Akcaray consumes 1,3 million Sm3 compressed natural gas less while performing public transportation.

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Section: Model Selectionmentioning

confidence: 99%

Operational Effıciency and Energy Saving Analysis of Urban Transportation: The Case of Akcaray

Aydın

2022

Journal of Engineering Technology and Applied Sciences

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“…Given the fact that freight delivery is one of the most important subjects in city logistics, Muñuzuri (2019) Based on a thorough literature review, some research gaps have been identi ed which have not been addressed previously. In the following, the research gaps and our contributions are described:…”

Section: Introductionmentioning

confidence: 99%

A Decision Support Framework to Evaluate the Sustainability Performance of Urban Road Transportation

Babaei,

Khedmati,

Jokar

et al. 2023

Preprint

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This study proposes a decision support framework (DSF) based on two data envelopment analysis (DEA) models in order to evaluate the urban road transportation of countries for sustainable performance management during different years. The first model considers different years independently while the second model, which is a type of network model, takes into account all the years integrated. A multi-objective programming model under two types of uncertainties is then developed to solve the proposed DEA models based on a revised multi-choice goal programming (GP) approach. The efficiency scores are measured based on the data related to several major European countries and the factors including the level of freight and passenger transportation, level of greenhouse gas emissions, level of energy consumption and road accidents which are addressed as the main evaluation factors. Eventually, the two proposed models are compared in terms of interpretation and final achievements. The results reveal that the efficiency scores of countries are different under deterministic/uncertain conditions and according to the structure of the evaluation model. Furthermore, efficiency changes are not necessarily the same as productivity changes. The high interpretability (up to 99.6%) of the models demonstrates the reliability of DSF for decision-making stakeholders in the transport sector. Furthermore, a set of managerial analyses is conducted based on different parameters of the performance evaluation measures for these countries including the productivity changes during the period under consideration, resilience of the countries, detection of the benchmark countries, ranking of different countries and detection of the patterns for improving the transportation system.

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A genetic algorithm for solving bus terminal location problem using data envelopment analysis with multi-objective programming

et al. 2021

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Due to urbon expansion and population increasing bus network design is an important problem in public transportation. Functional aspect of bus networks such as fuel consumption and the depreciation of buses and also spatial aspects of bus networks such as station and terminal locations or access rate to the buses are not proper conditions in most cities. Therefore, having an efficient method to evaluate the performance of bus lines considering both functional and spatial aspects is essential. In this paper, we propose a new model for bus terminal location problem (BTLP) using data envelopment analysis (DEA) with multi-objective programming approach. In this model, we want to find an efficient allocation patterns for assigning stations terminals and also we find the optimal locations for deploying terminals. So we use genetic algorithm for solving our model. By simultaneous combing the data envelopment analysis and bus terminal location problem, two types of

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Use of DEA to identify urban geographical zones with special difficulty for freight deliveries

Cited by 11 publications

References 44 publications

Operational Effıciency and Energy Saving Analysis of Urban Transportation: The Case of Akcaray

Operational Effıciency and Energy Saving Analysis of Urban Transportation: The Case of Akcaray

A Decision Support Framework to Evaluate the Sustainability Performance of Urban Road Transportation

A genetic algorithm for solving bus terminal location problem using data envelopment analysis with multi-objective programming

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