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 1–20 of 378 papers
Ally Kategire
A mixed-methods study assessing environmental impacts of electric ferries at the Kigamboni-Magogoni ferry in Dar es Salaam, Tanzania. It finds that shifting from diesel vessels to electric ships cuts GHG emissions and reduces SOx, NOx and p…
Peyman Zare, SeyedJalal SeyedShenava, Hossein Shayeghi
Proposes a digital-twin framework for managing mobilized energy storage (e.g. EV batteries) at smart parking lot hubs under deep decarbonization. It integrates spatiotemporal transportation and distribution networks to optimize battery move…
Sung-Hoon Kim, Seong‐Rin Lim
This study analyzes how national and regional trade policies shape the carbon footprint of EV batteries. It assesses how tariffs, rules of origin and related measures alter supply-chain emissions and sourcing structures. It links EV/battery…
Julie Witcover, Ph.D.; Colin W. Murphy, Ph.D.; Jingyuan Zhao, Ph.D.; and Laedon Kang, M.S.
This study projects how fueling incentives under the Low Carbon Fuel Standard affect the total cost of ownership (TCO) of medium- and heavy-duty electric versus diesel vehicles. It centers on quantifying how policy incentives shape the econ…
Julie Witcover, Ph.D.; Colin W. Murphy, Ph.D.; Jingyuan Zhao, Ph.D.; and Laedon Kang, M.S.
This study examines how California's Low Carbon Fuel Standard drives medium- and heavy-duty fleet electrification. It shows the LCFS lowers charging costs while raising relative diesel costs, improving the economics of electrification. It o…
Tien-Khai Nguyen
This study estimates road-transport electrification emissions for a planned residential development in Phu Quoc, Vietnam, using a vehicle-class inventory and three EV-share scenarios. Baseline emissions rise from 59.41 to 87.23 tCO2/year (2…
Guéret, Adeline, Gaete-Morales, Carlos, Schill, Wolf-Peter
Using a German power-system model, this study compares vehicle-to-grid (V2G) and large-scale smart charging as sources of EV flexibility. It finds that a moderate V2G share outperforms mass smart charging and delivers benefits to other elec…
Xin Yue Song, Minjie Lin, Chi‐Wei Su +2
This paper asks whether intelligent transportation systems can steer mobility toward a low-carbon future. No abstract is available, so the empirical method, case region, and quantitative findings cannot be verified. The title suggests a stu…
David Meyer
This dissertation examines bidirectional charging (V2G) in industrial fleets through three German studies: a conjoint analysis of 772 employees, 36 fleet/energy manager interviews using a TOE framework, and 37 expert interviews plus a stake…
Sheetal
Using OSeMOSYS, the study models India's power sector to 2050 under three scenarios combining passenger EV uptake targets and carbon taxes. EV charging adds up to 489 TWh of demand by 2050, yet coal's share of generation falls from 69% to 2…
Blat Belmonte B.
This study optimizes smart charging of electric bus fleets to minimize greenhouse gas emissions. By aligning charging schedules with grid emission factors and renewable availability, it shows how fleet operations can cut transport-sector em…
Bing Liu, Yuan Liao, Sonia Yeh +7
A study on scaling behavioral incentives for low-carbon mobility via digital platforms. It examines how behavior-change interventions can be expanded to cut transport emissions, with implications for policy and industry. Details are limited…
Nelson Nelson, Nora Agah, Kasey M. Faust +1
This study analyzes barriers and drivers of residential V2G deployment in the US through stakeholder interviews and qualitative coding. Grid resilience and decarbonization are key benefits, while user willingness, technological readiness, c…
Josué Sebastián Sosa Madrid, Isaac Daniel Gómez Andrade, Edwin Alexis Uvillus Yanguicela +1
This study applies PID control to EV battery charging, precisely regulating current to cut thermal losses (~15%) and thereby reduce indirect carbon footprint. Through mathematical analysis and simulation, it shows improved charging stabilit…
(著者不明)
A conceptual paper on how smart transportation—leveraging IoT, big data, and AI—can decarbonize urban mobility under China's dual-carbon strategy. It proposes implementation pathways across five areas: big-data supervision platforms, new-en…
Ming Chen, Wen-Li Shi, Yufang Li +6
A free-standing N-doped mesoporous carbon film with pinned carbon nanotubes was made via hydrothermal soft-template self-assembly and metal-catalyzed graphitization using phenolic resin/dicyandiamide and F127 micelles. Film thickness is tun…
Eralp Şener
Public dataset and code building hourly carbon-intensity series (2019–2025) for CAISO and ERCOT from EIA-930, with EV charging-scenario results and sensitivity analyses (marginal emission factors, Monte Carlo, bootstrap, weekday/weekend, st…
Yudong Wang, Huijuan Huo, Shuo Wang +7
This paper builds a bi-layer scheduling model for park-level integrated energy systems that jointly optimizes temporal and spatial scheduling of large EV fleets. The upper layer runs multi-objective optimization (min operating cost, max car…
Yicong Lin, Tao Ding, Yuhan Huang +2
This paper examines how carbon credit trading can incentivize vehicle-grid interaction (VGI) to support renewable energy integration in China. It links EV flexibility with carbon market mechanisms to ease grid balancing under high renewable…
Mrs Navya, Ilika Mohan
This case study uses the LEAP model to project India's transport energy demand and GHG emissions to 2050 under a Business-as-Usual and an Ambitious scenario combining electrification, fuel-efficiency gains, and modal shift. At equal passeng…
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