Assessing the role of digital transition in achieving net zero carbon transport: A hybrid Q-Rung orthopair fuzzy approach

BAKİOĞLU DOĞANYILMAZ G.

Environment, Development and Sustainability, cilt.27, sa.9, ss.23081-23131, 2025 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 27 Sayı: 9
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1007/s10668-025-06664-9
  • Dergi Adı: Environment, Development and Sustainability
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, International Bibliography of Social Sciences, PASCAL, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Business Source Elite, Business Source Premier, CAB Abstracts, Geobase, Greenfile, Index Islamicus, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.23081-23131
  • Anahtar Kelimeler: Digital transition, Digital transportation, Multi-criteria decision making (MCDM), Net-zero carbon, Q-rung orthopair fuzzy
  • Marmara Üniversitesi Adresli: Evet

Özet

The transport sector plays a significant role in global greenhouse gas emissions, with major impacts on climate change and urban air quality. With escalating environmental concerns and rapid technological advancements, reducing carbon emissions in digitalized transportation has become an international priority. Despite this urgency, limited research integrates carbon-neutral objectives with digital transformation solutions for the transportation sector. This study aims to address this gap by evaluating and prioritizing digital transition strategies for achieving net-zero carbon transportation using a novel hybrid multi-criteria decision-making (MCDM) approach. Specifically, the study employs a combined Stepwise Weight Assessment Ratio Analysis (SWARA) and Combined Compromise Solution (CoCoSo) method under q-rung orthopair fuzzy sets. The reliability and robustness of the proposed approach are demonstrated through a comprehensive three-phase process, including two sensitivity analyses and a comparative analysis. The results reveal that consumer-centric digital solutions, such as Mobility-as-a-Service (MaaS), and electrified and hydrogen-fueled vehicles, rank highest due to their direct user impact and potential to accelerate sustainable transportation adoption. In contrast, policy- and infrastructure-focused strategies, such as AI-driven traffic management and blockchain-based systems, receive lower rankings, reflecting the less immediate visibility of their benefits to end users. This research offers valuable insights for policymakers, transportation authorities, and technology developers seeking to reduce transportation-related carbon emissions and foster technological innovation through digital integration. Future research could expand the application of the proposed model across diverse geographic and cultural contexts, or explore its adaptability to emerging digital innovations in transportation.