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.
Showing 121–140 of 378 papers
Joel Franklin, Shannon Finnan
This study uses a January 2025 survey to quantify the energy and carbon savings from Ireland's fixed €3,500 BEV purchase grant relative to a reference vehicle. It accounts for grid carbon intensity and behavioural changes in annual mileage,…
Maulsri Jha
This article proposes a 'Bus Climate Infrastructure' framework and compares electric-bus transitions in India, Europe, and the US. It finds success depends less on fleet targets than on institutional capacity to coordinate vehicles, depots,…
Dabcevic, Zvonimir, Grden, Luka, Deur, Josko
This paper presents a coordinated design and techno-economic framework for an airport electromobility hub integrating electric bus and customer EV charging. An LP-based charging approach cuts weekly electricity costs by up to 8% and raises …
Ruchun Li, Yao Wang, Asaf Tzachor +1
A spatiotemporal study of critical-material demand and embodied carbon emissions from EV batteries across Chinese provinces. It maps regional differences in demand and emissions, linking battery supply-chain decarbonization with resource co…
Shuai‐Kang Liu, Er-Dan Wang, Chen-Ning Deng +4
This study compares layered-oxide sodium-ion and LFP batteries under Chinese manufacturing conditions using cradle-to-gate LCA with a 1 kWh pack functional unit. Sodium-ion batteries show 27.3% lower total environmental impact and 24.9% low…
Mofei Zhou, Haoyuan Yan, Tianyang Zhao +2
This study formulates a Dynamic Optimal Traffic-Power Flow (DOTPF) problem to optimize low-carbon operation of urban coupled transportation-power systems with mixed EV and combustion fleets. It integrates a time-space network with queuing, …
Tu R.
This work optimizes EV charging schedules to minimize marginal GHG emissions from power generation. By shifting charging to hours when grid marginal emissions are lowest, it shows how EV load can be aligned with cleaner generation. It links…
Yifan Zhang, Taobin Wang, Lili Liu +3
This study proposes a multi-objective capacity optimization method for PV-storage systems in low-carbon buildings, leveraging the flexibility of orderly EV charging. A bi-level model is developed: the upper level minimizes the operator's ec…
Noussan M.
This study compares well-to-wheel greenhouse gas emissions of electricity- versus biomethane-powered urban buses, quantifying decarbonization potential across fuel supply and vehicle operation. It offers evidence for fleet procurement and f…
Martinez S.S.
This study analyzes the greenhouse gas emission reductions from electrifying transit buses in the United States. Accounting for grid mix and operating conditions, it shows that replacing diesel buses with electric ones lowers emissions. It …
Sykiotis S.
Proposes a self-sustained EV charging framework controlled via N-step deep reinforcement learning. It likely optimizes charging schedules against renewable supply and grid load. Without an abstract, ESG/disclosure linkage and quantitative r…
Veza I.
This study compares EVs, HEVs, PHEVs, and ICE vehicles to assess pathways toward net-zero emissions by 2050. It frames how differing degrees of electrification affect emission reduction in the transport sector. Without an abstract, methodol…
Anser M.K.
This study applies a Quantile-on-Quantile approach to examine the relationship between hybrid bond issuance and electric vehicle (EV) stock across leading EV economies. It captures how the finance–EV nexus varies across quantiles of both va…
Zhao Y.
This study quantifies the carbon and energy footprints of electric delivery trucks using a hybrid multi-regional input-output life cycle assessment. It estimates supply-chain emissions across manufacturing, electricity supply, and operation…
Jonas Sprengelmeyer, Soeren Dreyer, Marcel Weil +2
A European-perspective projection comparing Na-ion and Li-ion batteries on cost, volumetric energy density, and fast-charging performance. Co-authored by Volkswagen Group and KIT, it assesses the techno-economics of next-generation EV batte…
Berg Mårtensson H.
This paper analyzes low-emission transport scenarios combining car-sharing and electric vehicles, examining life-cycle emissions, biofuel use, battery utilization, and fleet development. It contributes a quantitative assessment of how share…
Partani S.
This paper quantitatively assesses how Cooperative Connected and Automated Mobility (CCAM) applications affect greenhouse gas emissions. Without an available abstract, the specific methods and results remain unclear, but the work estimates …
T. Nguyen Y.L.
A case study proposing a cost-effective method to estimate fuel consumption and greenhouse gas emissions from motorcycles. It targets a transport segment where emissions data remain sparse compared with passenger cars, aiming to quantify em…
Qin S.
A discrete choice study of EV preferences among young adults in China. It quantifies how attributes such as price, range, charging infrastructure and brand shape purchase decisions. The findings inform EV diffusion policy and product strate…
He Z.
A study on an engine electrification strategy combining fuel cell and steam injection toward net zero. Without an abstract, details are unclear, but it appears to address transport decarbonization via hydrogen and electrification technologi…
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