GX Research Hub · English
GX & Decarbonization Research
This page provides an English interface to the gxceed GX paper corpus. The corpus aggregates papers from 14 contributing scholarly metadata sources and uses AI-assisted classification to identify signals related to measurement, policy narratives, outcomes, implementation, industrial adoption, and verification.
The goal is not only to discover papers, but to observe how GX research is distributed across research substance, implementation narratives, external expectations, implementation substance, and judgment formation.
Summaries are AI-assisted. Always refer to the original paper for authoritative conclusions.
Peer-reviewed🇺🇸 USAJournalCleaner Environmental Systems2026#EV & TransportDOI
Least-cost decarbonization pathways for light-duty vehicles and electricity generation in the United States
Arahim Zuniga, Kristen E. Brown, Ivonne Santiago
A study analyzing least-cost decarbonization pathways for US light-duty vehicles and electricity generation. It integrates transport electrification with power-sector decarbonization to identify cost-efficient transition routes. Details are…
Peer-reviewed🇨🇳 ChinaJournalSustainability2026#EV & TransportDOI
Patterns and Drivers of CO2 Emissions from Road Freight Transport in China
Juan Yang, Yang Lv, Yaoyu Lei +3
Using 41,601 freight-vehicle observations across 30 Chinese provinces matched to county climate and nighttime-light data, the study computes CO2 via IPCC emission factors. Diesel dominates emissions with hotspots in eastern coastal regions;…
Peer-reviewedJournalCarbon Footprints2026#EV & TransportDOI
Carbon-aware battery disassembly for end-of-life management
Riccardo Adamini, Zheng Fang, Qingsong Wang +2
This work addresses end-of-life management of EV batteries, framing disassembly decisions around carbon emissions. It suggests a carbon-aware approach to sequencing and methods in battery dismantling, linking circularity with decarbonizatio…
Peer-reviewedJournalInternational Transactions on Electrical Engineering and Computer Science2026#EV & TransportDOI
A Comprehensive Review on Electric Vehicle Charging Infrastructure and Standards
Parth Shailesh Shah, N. Amarnadh Reddy, K. Sandhya Rani +1
This review surveys EV charging infrastructure configurations (AC, DC, smart charging, battery swapping), global charging standards, connectors, communication protocols and safety regulations. It highlights bidirectional charging, V2G integ…
Peer-reviewed🌍 GlobalJournalCase Studies on Transport Policy2026#EV & TransportDOI
Joint probabilistic transition risk across fleet turnover, renewable electricity, and road emissions in New South Wales, 2026–2030
Vijay Raj Giri
This study assesses transition risk for New South Wales 2026–2030, linking low-emission vehicle uptake, renewable electricity, and road emissions via copula assumptions and Monte Carlo simulation. Petrol/diesel vehicles remain dominant unde…
Peer-reviewed🇯🇵 JapanJournalCase Studies on Transport Policy2026#EV & TransportDOI
Visible electrification without deep transition: gasoline regime embeddedness and household mobility transition in urban Vietnam
Dinh Duc Truong, Ngo Thanh Mai, Duong Duc Tam +1
This study examines urban Vietnamese households to show that rising electrification of mobility coexists with deeply embedded gasoline-based socio-technical regimes. It argues that visible electrification does not equal a deep transition, f…
Preprint🌍 GlobalResearch Square2026#EV & TransportDOI
Reliability Assessment of Vehicle to Grid Fleets With Audited Support Vector Screening
Lei Y, Li G
This paper develops a framework to assess the reliability contribution of vehicle-to-grid fleets, integrating owner scheduling, connection uncertainty, and network deliverability. A support vector classifier screens trajectories, with audit…
Preprint🇪🇺 EuropeResearch Square2026#EV & TransportDOI
Life Cycle Assessment of Electric Vehicles and Their Role in Reducing Greenhouse Gas Emissions in Greece
Kiskira K, Nikolopoulos D, Chatzopoulos A +6
A cradle-to-grave LCA comparing BEVs, HEVs, and gasoline ICEVs using Greek parameters (150,000 vehicle-km, ReCiPe 2016 Endpoint). BEVs cut global-warming health damage by 43.2%, PM2.5 formation by 44.8%, and terrestrial acidification by 45.…
PreprintCNResearch Square2026#EV & TransportDOI
Do Low-Carbon Transportation Policies Spur Green Innovation? Causal Evidence from Pilot Cities for New Energy Vehicles in China
Ma J
Using China's NEV pilot-city program as a quasi-natural experiment across 281 cities (2008–2019) and WIPO green patents, staggered DiD shows pilot designation raised green patent applications by ~9–10%, emerging one year later and strengthe…
Peer-reviewedJournalJournal of Climate Change2026#EV & TransportDOI
Aluminum-Based Thermal Management of Lithium-Iron Energy Storage for Sustainable Cooling
Awangku Muhammad Dzul Hisyam, Fauziah Jerai, Nor Afifah Yahaya +1
This study uses ANSYS Fluent CFD to analyze immersion cooling of LiFePO4 battery packs, varying aluminum casing thickness, cell spacing, and coolant type. Optimal configuration—40% ethylene glycol-water, 1.5 mm casing, 40 mm spacing—kept pe…
Peer-reviewed🌍 GlobalJournalUrban Science2026#EV & TransportDOI
Greenhouse-Gas Emissions from Public Transport in Urban Environments: A Systematic Review of Quantification Methods, Technologies, and Decarbonization Pathways
Vinicio Roblez-Torres, Xavier Merino-Vivanco, Mireya Lapo-Pauta
A PRISMA 2020 systematic review of 93 reports (92 studies) on GHG emissions from public passenger transport worldwide. LCA was the dominant design, buses dominated the evidence, and electric pathways featured in 45 studies. Of 56 reports wi…
Peer-reviewedCNJournalSustainability2026#EV & TransportDOI
A Static–Dynamic Driving Risk Field Model for CAV at Signalized Intersections: Enhancing Efficiency, Safety, and Decarbonization
Meng Zeng, Dengke Ma, Hang Chen
This study proposes a unified risk field model for connected and automated vehicles (CAVs) at signalized intersections, integrating static environmental factors and dynamic vehicle factors within a potential energy field framework. Evaluate…
Peer-reviewedJournalJournal of Intelligent Transportation Systems2026#EV & TransportDOI
Harnessing artificial intelligence for fleet decarbonization: a Tunisian case study using deep reinforcement learning and graph neural networks
Dimeth Nouicer, Ikbal Chammakhi Msadaa, Motez Bellah Mechri +1
This study applies deep reinforcement learning and graph neural networks to optimize fleet decarbonization, tested on a Tunisian case. It uses AI to optimize vehicle routing, dispatch and charging decisions, aiming to cut operational emissi…
Peer-reviewed🇨🇳 ChinaJournalClimate Policy2026#EV & TransportDOI
How import tariffs on China's new energy vehicles affect host countries’ energy transition
Junjie Zhang, Shiwei Yu, Wenqing Zhang +1
Using a panel threshold model on 103 economies (2017–2023), this study examines how import tariffs on Chinese NEVs affect host countries' energy transition. Below a critical threshold, tariffs complement domestic NEV R&D and raise renewable…
Peer-reviewed🇨🇳 ChinaJournalInternational Journal of Sustainable Development & World Ecology2026#EV & TransportDOI
Urban residents’ intention to use low-carbon transport modes: an integration of the transtheoretical model and the theory of planned behavior
Xuemei Fu
Integrating the transtheoretical model and theory of planned behavior, this study examines socio-cognitive determinants of urban residents' intention to use low-carbon transport. Latent class modeling classifies respondents into three car-u…
Peer-reviewed🇯🇵 JapanJournalInternational Journal of Scientific Research in Science and Technology2026#EV & TransportDOI
Behaviour-Based Decision Making and Willingness to Pay for Low-Carbon Fuels in India’s Transport Sector
Maqsood Ahmed Shaikh, Rajbhar Nisha, Nainesh Modi
This mixed-methods study examines how climate awareness, behavioural attitudes, cost sensitivity, risk perception and social norms shape fuel choice and willingness to pay for low-carbon fuels among Indian long-haul truck fleets. It finds h…
Preprint🇪🇺 EuropeZenodo (CERN European Organization for Nuclear Research)2026#EV & TransportDOI
Electrification fails to reconcile urban transport with 2030 climate targets
Cesar Marín-Flores, Subhrasankha Dey, Xiuning Zhang +2
This study tests whether minimum mobility needs can be met within 2030 Paris-compatible carbon budgets at the individual level, using mobile phone data from over 200,000 users in Finland. Even under favorable conditions for electric cars, f…
🇪🇺 EuropeJournalZenodo (CERN European Organization for Nuclear Research)2026#EV & TransportDOI
Electrification fails to reconcile urban transport with 2030 climate targets
Cesar Marín-Flores, Subhrasankha Dey, Xiuning Zhang +2
This study shows that electrifying urban transport alone is insufficient to meet 2030 climate targets. It implies that EV-focused policy must be paired with demand reduction and modal shift toward public and active transport. Authored by re…
Peer-reviewedJournalAims Energy2026#EV & TransportDOI
Feeder-constrained co-located BESS sizing for grid-interactive EV fast-charging stations: Branch-loading relief, voltage support, and recharge deliverability
Le T.M.C.
This work sizes co-located battery storage (BESS) for grid-interactive EV fast-charging stations under feeder capacity constraints. It balances branch-loading relief, voltage support, and recharge deliverability, offering a design method fo…
Conference2024#EV & TransportDOI
Efficiency and Magnetic Flux Comparison of Circular and DD Pads with Misalignment
Biasizzo M., Colombo C. G., Dolara A. +3
This paper compares circular and DD pads for resonant inductive wireless power transfer in EVs, using an integrated finite-element and circuit-analysis method. Both pad types transfer 7.7 kW, but DD pads show stronger magnetic coupling and …