An integrated decision support system to achieve sustainable development in transportation routes with traffic flow

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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.accessioned2024-05-19T14:39:24Z
dc.date.available2024-05-19T14:39:24Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractDue to the growing population and demand, transportation planning has received special importance in the context of supply chain management. One of the major challenges in transportation planning is the traffic problem. This challenge affects the safety, environmental, and efficiency factors of transportation systems. Accordingly, in this study, the routes, which are important pillars of transportation planning, are examined from the perspective of sustainability. In this regard, a novel decision support system is developed, wherein at first, some decision-making methods including Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), entropy technique, Nash equilibrium point (NEP), and data envelopment analysis (DEA) are employed to analyze and determine unstable routes. Then, a bi-level leader-follower multi-objective optimization model is developed, based on the vehicle types, to evaluate the routes at different time intervals and identify the most efficient time intervals as a traffic pattern. Finally, the proposed models are implemented in a real case study based on the freeways in Tehran. According to the main finding, it is revealed that heavier and bulkier vehicles have a greater impact on road instability.en_US
dc.identifier.doi10.1007/s11356-023-26644-8
dc.identifier.endpage60382en_US
dc.identifier.issn0944-1344
dc.identifier.issn1614-7499
dc.identifier.issue21en_US
dc.identifier.pmid37022553en_US
dc.identifier.scopus2-s2.0-85151737182en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage60367en_US
dc.identifier.urihttps://doi.org10.1007/s11356-023-26644-8
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4771
dc.identifier.volume30en_US
dc.identifier.wosWOS:000983785100008en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_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/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectBi-Leader-Follower Programming Modelen_US
dc.subjectTopsisen_US
dc.subjectNash Equilibrium Pointen_US
dc.subjectTransportation Planningen_US
dc.subjectSustainabilityen_US
dc.subjectResilienceen_US
dc.titleAn integrated decision support system to achieve sustainable development in transportation routes with traffic flowen_US
dc.typeArticleen_US

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