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.

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Topic: #EV & Transport (clear)

Showing 61–80 of 317 papers

Peer-reviewed🇪🇺 EuropeJournalEnvironmental Research Communications, 5 (9)2023#EV & TransportDOI

How, where, and when to charge electric vehicles – net-zero energy system implications and policy recommendations

Luh, Sandro, id_orcid:0 000-0003-0647-1447, Kannan, Ramachandran +3

This study extends the Swiss TIMES energy system model with heterogeneous consumer segments and charging infrastructure (CI) options to analyze EV charging strategies for net-zero targets. Results show BEV share reaches 39-77% by 2050, requ…

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PreprintZenodo2026#EV & TransportDOI

ELECTRIC VEHICLES: ENGINEERING SOLUTIONS FOR SUSTAINABLE MOBILITY

Dr NIVEDITA S PADOLE, Mr TALASILA VENKATESH, Dr GEETHA AIYYANARAPAN +2

This book provides a comprehensive overview of the transition to electric vehicles (EVs), covering powertrains, battery technology, charging infrastructure, smart-grid integration, and lifecycle assessment. It emphasizes the challenges and …

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Peer-reviewedJournalJournal of Urban Intelligence and Smart Systems2026#EV & TransportDOI

Charging Ahead or Charging Alone? A Triadic Integration Framework for Electric Vehicle, Land-Use, and Urban-Development Policy in New South Wales, Australia

Ali Soltani, Mohsen RouhaniGhadikolaei, Yashar Jamei +1

This study treats EV transition as a land-use and urban-development problem, analyzing 30 official NSW planning documents via text mining. It introduces a novel Triadic Integration Score (TIS) quantifying cross-domain co-occurrence of EV, l…

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Peer-reviewedJournalJournal Climate Change and Space Science2026#EV & TransportDOI

Influence of Smart Pricing Tool on Electric Vehicle Adoption and Carbon Reduction in Kota Kinabalu, Sabah: Regression-based Assessment

JAZMINA BAZLA BINTI JUN ISKANDAR, MOHD AZIZUL LADIN, NURUL SHAHADAHTUL AFIZAH ASMAN +1

This study examines how EV charging prices affect adoption in Kota Kinabalu, Malaysia. A survey of 376 drivers and regression models show a strong inverse relationship (R²=0.9517). Shifting to EVs could cut CO2 emissions by 73% per 100 km. …

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🇺🇸 USAJournal2026#EV & TransportDOI

The Current State of Heavy-Duty Trucking in the UK and the US

Ameer Mustafa, Yiming Xu, Liana Cipcigan +2

This paper reviews the current state of heavy-duty trucking in the UK and US, focusing on electrification policies, market trends, and technological progress. It identifies challenges such as charging infrastructure and grid impacts, and hi…

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Peer-reviewed🌍 GlobalJournalWorld Electric Vehicle Journal2019#EV & TransportDOI

The parker project: Cross-brand service testing using V2G

Andersen P.B.

This project conducted cross-brand service testing using V2G (Vehicle-to-Grid) technology, connecting electric vehicles to the power grid for demand response and renewable energy integration. It aims to validate the practicality and interop…

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Peer-reviewedJournalProceedings of the Institution of mechanical engineers. Part D, journal of automobile engineering2026#EV & TransportDOI

A novel 24/30 external-rotor multi-tooth switched reluctance motor configuration for in-wheel electric two-wheeler propulsion

S. Bhaktha B, B. Harish, Anandita Tiwari +2

This paper proposes a rare-earth-free external-rotor multi-tooth SRM for electric two-wheelers. Through FEA and drive-cycle optimization, it achieves 7.11% higher average torque, 24.6% lower torque ripple, and 5.78% lower losses. Prototype …

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