ADDRESSING HIDDEN CHALLENGES IN URBAN RENEWABLE ENERGY INTEGRATION VIA A HYBRID-DECISION MODEL

dc.contributor.authorKou, Gang
dc.contributor.authorZavadskas, Edmundas Kazimieras
dc.contributor.authorAyata, Ahmet
dc.contributor.authorYuksel, Serhat
dc.contributor.authorDincer, Hasan
dc.contributor.authorEti, Serkan
dc.date.accessioned2026-02-27T07:33:27Z
dc.date.available2026-02-27T07:33:27Z
dc.date.issued2025
dc.description.abstractThe integration of renewable energy into urban development has some critical legal challenges. However, the literature lacks a systematic framework for prioritizing the most critical obstacles. Existing studies generally address the legal barriers to the integration of renewable energy into urban areas at a general level. Therefore, these studies do not provide a systematic framework to prioritize which barriers are more critical. This deficiency creates some important problems such as increasing investor distrust, delays in projects and increasing costs. This study tries to fill this gap by establishing a novel hybrid decision-making model to evaluate hidden legal challenges in renewable energy integration. The proposed model follows a structured methodology by integrating z-scoring method to ensure expert representativeness, p,q,r-Fractional fuzzy sets to handle uncertainties, entropy method to compute the weights of the identified legal barriers and grey relational analysis to identify the most effective strategy alternatives. The main contribution is that prior investment strategies can be identified to overcome these legal challenges regarding the integration of renewable energy into urban development by creating a novel model. The use of p,q,r-Fractional fuzzy sets in this model provides an important contribution to the literature. With the help of considering these sets, more complex and multi-dimensional uncertainties can be managed more effectively. The findings highlight the significance of financial incentives and streamlined regulatory processes to have the sustainable transformation of urban areas.
dc.description.sponsorshipScience and Technology Innovation Program of Hunan Province [2024RC4008, AC2024040911247631ff26]
dc.description.sponsorshipThis research is partially supported by the Science and Technology Innovation Program of Hunan Province (#2024RC4008 and AC2024040911247631ff26) .
dc.identifier.doi10.3846/tede.2025.23903
dc.identifier.issn2029-4913
dc.identifier.issn2029-4921
dc.identifier.urihttp://dx.doi.org/10.3846/tede.2025.23903
dc.identifier.urihttps://hdl.handle.net/20.500.14669/4582
dc.identifier.wosWOS:001592514000001
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherVilnius Gediminas Technical Uni
dc.relation.ispartofTechnological and Economic Development of Economy
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20260302
dc.subjectrenewable energy integration
dc.subjecturban development
dc.subjectlegal challenges
dc.subjectr-Fractional fuzzy sets.
dc.titleADDRESSING HIDDEN CHALLENGES IN URBAN RENEWABLE ENERGY INTEGRATION VIA A HYBRID-DECISION MODEL
dc.typeArticle; Early Access

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