A decision support framework to evaluate the sustainability performance of urban road transportation

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dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.contributor.authorBabaei, Ardavan
dc.contributor.authorKhedmati, Majid
dc.contributor.authorJokar, Mohammad Reza Akbari
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2024-05-19T14:50:19Z
dc.date.available2024-05-19T14:50:19Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractThis 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.en_US
dc.identifier.doi10.1007/s11356-023-31265-2
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.pmid38129729en_US
dc.identifier.urihttps://doi.org10.1007/s11356-023-31265-2
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5669
dc.identifier.wosWOS:001128370300002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSpringer Heidelbergen_US
dc.relation.ispartofEnvironmental Science and Pollution Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectUrban Road Transportationen_US
dc.subjectSustainability Performanceen_US
dc.subjectEnergy Consumptionen_US
dc.subjectData Envelopment Analysis Modelen_US
dc.subjectRevised Multi-Choice Goal Programmingen_US
dc.titleA decision support framework to evaluate the sustainability performance of urban road transportationen_US
dc.typeArticleen_US

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