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 21–40 of 263 papers
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…
Jirawan Niemsakul, Sermpong Niemsakul, Hartmut Zadek +2
This study develops an AHP-based decision-support system for the Multi-Objective Electric Vehicle Routing Problem in port–road logistics. Expert-derived priority weights for cost, environmental impact, energy efficiency, and operational wel…
Zhai Y.
This study applies a total-cost-of-ownership (TCO) optimization analysis to assess the electrification potential of road freight in Saudi Arabia. It evaluates how vehicle prices, fuel costs, charging infrastructure, and driving distances sh…
Delmas M.A.
An empirical study using California data on the private and social consequences of household purchases of electric vehicles and solar panels. It compares household economic returns with societal benefits such as GHG reductions, offering imp…
Gugulothu Vikas, Mohammed Jalaluddin, Kiran Kumar Poloju +4
This review proposes a smart-city framework combining AI-driven EV charging infrastructure planning with low-carbon geopolymer concrete. It targets urban decarbonization and embodied-emission reduction in construction simultaneously. No abs…
Huajun Chen, Xiaoye Wang, Lina Yuan +1
This study reconfigures 6G integrated sensing base stations into dual-mode power-information supply nodes with sleep capability to address energy and carbon bottlenecks in the low-altitude economy. A time-energy-carbon coupling model (TEC-6…
Olatunji A. Shobande, Lawrence Ogbeifun, Aviral Kumar Tiwari
This paper examines transport decarbonisation as both a driver of the energy transition and a shaper of climate resilience. With UK and Indian institutional involvement, it offers an international perspective spanning EV uptake and transpor…
Nicholas Caros, Mallory Trouvé, Luis Martinez
This is an author correction to a paper modelling global urban passenger transport decarbonisation pathways. The original work assessed how policy interventions shape emission-reduction trajectories across cities worldwide. The correction i…
Majid Gholami Shirkoohi, Walter Mérida
This work proposes an integrated simulation and optimization framework for decarbonizing mixed-fleet public transit, combining conventional and low-emission vehicles. It aims to quantify emission-reduction pathways through fleet-mix and ope…
A. Ibrahim, G. Vorraro, J.W.G. Turner
A fleet-level study examining how vehicle mass, powertrain configuration, and real-world utility factors drive CO2 emissions. It offers insights into how electrification and vehicle design choices translate into actual on-road emission redu…
Fachrizal R.
This study optimizes urban-scale energy matching in a net-zero energy city powered by wind and solar, integrating smart EV charging and vehicle-to-grid (V2G). It explores how EV batteries can absorb renewable variability to balance urban en…
Si-Chang Xiao, Tian-Tian Song, Si-Hang Qin +2
This paper proposes a day-ahead low-carbon scheduling strategy for active distribution networks (ADNs) leveraging V2G flexibility. It models the charge-discharge feasible region of EV clusters, integrates a stepped carbon-trading model and …
Mevlan Qafleshi, Driton R. Kryeziu, Arber Beshiri
This study evaluates Kosovo's road transport electrification using a 514-respondent survey and technical/financial modeling. Under a lignite-dominated grid, EVs increase CO2 by 13% versus ICEVs, but become cleaner once renewables reach 21% …
Jiansi Liu
This paper systematically compares three electrified vehicle routes—BEV, PHEV, and EREV—across energy source, powertrain topology, charging-infrastructure dependence, and cost structure. It analyzes the competitive landscape shaped by marke…
Rowen Cisneros
EVs are zero-emission at the tailpipe but generate substantial upstream emissions from battery manufacturing and charging. This study evaluates the full life-cycle impact, finding battery production accounts for 60% of manufacturing emissio…
Azevedo B.F.
A case study analyzing e-bike mobility patterns and associated greenhouse gas emissions within a higher-education community. It quantifies how shifting campus and commuting trips to e-bikes affects emissions, offering baseline evidence on t…
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