Spatial-Temporal Evolution of Sales Volume of New Energy Vehicles in China and Analysis of Influencing Factors DOI Open Access

Run Sun,

Kun Yang, Zongqi Peng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11115 - 11115

Published: Dec. 18, 2024

China’s transportation carbon emissions account for 10% of the total, with nearly 90% originating from road transport. Additionally, China is world’s largest automotive demand market. Therefore, in context achieving “dual carbon” goals, promotion and application new energy vehicles (NEVs) are particularly crucial. However, current situation regarding trends driving mechanisms NEVs remains unclear. this study, based on panel data, explores spatial-temporal evolution NEV sales 2016 to 2022 through spatial analysis. Simultaneously, correlation analysis geographical detectors, study qualitatively quantitatively investigates factors China. The results show that: (1) will increase by 5.7 million units seven years 2022, which an extremely fast growth rate; (2) There significant heterogeneities Sales eastern region constitute share among four major economic regions, accounting 61% 2022. northeastern has lowest sales, representing only 2.9% national total. (3) Among different provinces, coastal provinces such as Guangdong, ZheJiang, Jiangsu much higher than inland like Tibet QingHai. (4) contribution rates vary across regions. Overall, however, order influence follows: length (0.49) > proportion tertiary industry (0.48) area (0.40). infrastructure identified primary influencing factor NEV. This revealed their mechanisms, aiming provide theoretical support

Language: Английский

An Early Fault Detection Method of Series Battery Packs Based on Multi-Feature Clustering and Unsupervised Scoring DOI

Wenhao Nie,

Zhongwei Deng, Jinwen Li

et al.

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 135754 - 135754

Published: March 1, 2025

Language: Английский

Citations

0
Attributes of Electric Mobility Integration into Urban Planning: Perspectives and the Brazilian Context DOI Creative Commons
Caroline Alves da Silveira, Graciele Rediske,

Thaiara Oliveira da Silva

et al.

World Electric Vehicle Journal, Journal Year: 2025, Volume and Issue: 16(4), P. 188 - 188

Published: March 22, 2025

Electric mobility has been widely discussed as a viable solution for decarbonizing the transport sector and promoting urban sustainability. However, integration of electric into planning still requires further in-depth research. This article aims to identify key attributes linking with through Systematic Literature Review (SLR) provide an overview Brazilian context regarding policies guidelines electromobility. The findings indicate that primary connecting include alignment existing plans guidelines, sectoral integration, infrastructure, multi-sectoral engagement, environmental sustainability, urbanism, user profiles, technologies, governance. In Brazil, despite existence national there is gap in updating public fully integrate electromobility planning. study concludes stronger between necessary, along more robust incentives electrification transport. By identifying these attributes, this provides structured framework policymakers planners enhance regulatory mechanisms, infrastructure planning, governance strategies, contributing sustainable, resilient, efficient systems.

Language: Английский

Citations

0
Analyzing the Feasibility of Lithium Extraction in Mexico: Supply Chain Modeling with Economic and Environmental Considerations DOI Open Access

Jovanna Carranza-Maldonado,

Rogelio Ochoa-Barragán, Hilda R. Guerrero Garcí­a Rojas

et al.

Processes, Journal Year: 2025, Volume and Issue: 13(4), P. 1116 - 1116

Published: April 8, 2025

Lithium is a strategic resource due to its use in rechargeable batteries for electric vehicles and electronic devices, driving high demand extraction. This study analyzes the lithium supply chain Mexico, focusing on both extraction of carbonate export potential producing lithium–ion grease, considering their environmental impact. The proposed mixed integer linear programming (MILP) model, solved using GAMS modeling environment, suggests that Mexico viable, with Sonora having greatest capacity. Three solutions were evaluated: Solution A maximizes profits (USD 317.19 M) but has greenhouse gas (GHG) emissions (1,119,808 tons), B balances 186.98 lower (559,904 C prioritizes emission reduction (44,792 tons) at cost 48.20 M). implies scenario severe restrictions, which indirectly leads investment costs by avoiding production grease batteries. highlights impact tariffs U.S. exports, 25% tariff making exports economically unviable. underscores need diversify markets. Decision-makers can this model explore alternative strategies, reduce dependence single market, optimize economic sustainability sector.

Language: Английский

Citations

0
Spatial-Temporal Evolution of Sales Volume of New Energy Vehicles in China and Analysis of Influencing Factors DOI Open Access

Run Sun,

Kun Yang, Zongqi Peng

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11115 - 11115

Published: Dec. 18, 2024

China’s transportation carbon emissions account for 10% of the total, with nearly 90% originating from road transport. Additionally, China is world’s largest automotive demand market. Therefore, in context achieving “dual carbon” goals, promotion and application new energy vehicles (NEVs) are particularly crucial. However, current situation regarding trends driving mechanisms NEVs remains unclear. this study, based on panel data, explores spatial-temporal evolution NEV sales 2016 to 2022 through spatial analysis. Simultaneously, correlation analysis geographical detectors, study qualitatively quantitatively investigates factors China. The results show that: (1) will increase by 5.7 million units seven years 2022, which an extremely fast growth rate; (2) There significant heterogeneities Sales eastern region constitute share among four major economic regions, accounting 61% 2022. northeastern has lowest sales, representing only 2.9% national total. (3) Among different provinces, coastal provinces such as Guangdong, ZheJiang, Jiangsu much higher than inland like Tibet QingHai. (4) contribution rates vary across regions. Overall, however, order influence follows: length (0.49) > proportion tertiary industry (0.48) area (0.40). infrastructure identified primary influencing factor NEV. This revealed their mechanisms, aiming provide theoretical support

Language: Английский

Citations

1