Forecasting of New Energy Vehicle Sales and Evaluation of Regional Development Based on BP Neural Network and EWM-TOPSIS

Highlights in Business Economics and Management, Год журнала: 2025, Номер 53, С. 97 - 110

Опубликована: Март 17, 2025

This paper focuses on the new energy vehicle market, utilizing big data technology and artificial intelligence algorithms to perform statistics, analysis, forecasting in both temporal spatial dimensions. In time dimension, sales volume is forecasted by piecewise cubic Hermite interpolation, polynomial fitting, ARIMA model BP neural network model, results between different models are compared analyzed. Meanwhile, factors affecting this market analyzed using entropy weight method. development level of each province assessed TOPSIS comprehensive evaluation method, stage which provinces located classified K-means cluster analysis. The show that developing rapidly, but there still problem uneven some regions. At same time, study also found has higher credibility prediction, method EWM-TOPSIS can effectively assess city, analysis intuitively differences stage. research provide technical support theoretical for industrial China's era data.

Язык: Английский

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Built environment and public electric vehicle charging: an investigation using POI data and computer vision

Public Transport, Год журнала: 2025, Номер unknown

Опубликована: Март 4, 2025

Язык: Английский

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Toward an equitable transportation electrification plan: Measuring public electric vehicle charging station access disparities in Austin, Texas

PLoS ONE, Год журнала: 2024, Номер 19(9), С. e0309302 - e0309302

Опубликована: Сен. 5, 2024

The deployment of public electric vehicle charging stations (EVCS) is a critical component transportation electrification. Recent studies have highlighted growing concerns about disparities in accessibility to chargers between different demographic groups. This research expands ongoing equity by contextualizing existing discourse and analyzing charger access Austin, Texas. Using threshold toolkits, we investigated EVCS disparity across races income We conducted generalized additive model regression measure visualize the effects possible determinants on access. analysis results revealed that exists with most being installed areas where majority population Non-Hispanic White. There was more equal distribution EVCSs quartiles when compared race. However, middle- high-income groups had better than lower-income communities terms distance nearest EVCSs. Our found regional socio-demographic factors, such as race income, statistically significant impact also Austin’s current seems favor above poverty level higher numbers registered vehicles. Local policymakers should reflect findings this study develop an equitable electrification plan. Federal environmental justice plans Justice40 initiative can benefit from incorporating local contexts invest disadvantaged communities.

Язык: Английский

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Who owns Electric Vehicles (EVs)? The relationship between EV adoption and socio-demographic characteristics across different price segments and brands in the Texas triangle

Research in Transportation Business & Management, Год журнала: 2024, Номер 57, С. 101225 - 101225

Опубликована: Окт. 16, 2024

Язык: Английский

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