Development History and Enlightenment of Electric Vehicles Based on Tesla's Financial Perspective DOI Creative Commons

Boyan Liu

Advances in Economics Management and Political Sciences, Journal Year: 2024, Volume and Issue: 114(1), P. 185 - 194

Published: Oct. 18, 2024

Facing the continually intensifying global energy crisis and environmental pollution challenges, electric vehicles, as an important representative of green transportation, are gradually becoming direction for transformation upgrading automotive industry. As a pioneering figure within vehicle industry, Tesla's development history financial performance great significance understanding current situation future entire This article first outlines vehicles Tesla. Then, based on status Tesla at that time, indicators were analyzed. Finally, four suggestions proposed: firstly, companies should continue to increase investment in technology research development, improve product market competitiveness; Secondly, focus cost control operational efficiency improvement achieve economies scale; Thirdly, actively explore domestic international markets, expand sales channels share; Fourth, pay attention trends cutting-edge fields such storage autonomous driving, seize opportunities future; strengthen brand building marketing enhance influence consumer recognition.

Language: Английский

Household transportation lifecycle greenhouse gas emission prediction DOI Creative Commons
Hamed Naseri, E. Owen D. Waygood, Zachary Patterson

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: 141, P. 104660 - 104660

Published: Feb. 18, 2025

Language: Английский

Citations

0

How about electric vehicle? Sensing owners’ experiences and attitudes through online short video DOI
Qinyu Cui, Yan Zhang, Haoran Ma

et al.

Transport Policy, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

Citations

0

Travel mode choice prediction: developing new techniques to prioritize variables and interpret black-box machine learning techniques DOI
Hamed Naseri, E. Owen D. Waygood, Zachary Patterson

et al.

Transportation Planning and Technology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 24

Published: Oct. 7, 2024

Travel Mode Choice (TMC) prediction is vital for forecasting travel demand and transportation planning. To be helpful those purposes, one needs to know with high accuracy what influences choices how. For accuracy, Machine Learning (ML) classification techniques often produce results higher than traditional methods. However, many ML are black-box tools, making them less useful this end, two new approaches were proposed interpret the of investigate influence different variables on TMC. The suggested that ensemble learning outperform other Adding accessibility, geographic, land-use conventional TMC models could improve their performance. most important parameters found be: trip distance, availability a transit pass driver's license. Their respective modes demonstrated using novel method mentioned above.

Language: Английский

Citations

1

Analyzing Purchase Intentions of Used Electric Vehicles Through Consumer Experiences: A Structural Equation Modeling Approach DOI
Abbas Sheykhfard, Mohammad Azmoodeh, Subasish Das

et al.

Transport Policy, Journal Year: 2024, Volume and Issue: 160, P. 125 - 137

Published: Nov. 10, 2024

Language: Английский

Citations

1

Development History and Enlightenment of Electric Vehicles Based on Tesla's Financial Perspective DOI Creative Commons

Boyan Liu

Advances in Economics Management and Political Sciences, Journal Year: 2024, Volume and Issue: 114(1), P. 185 - 194

Published: Oct. 18, 2024

Facing the continually intensifying global energy crisis and environmental pollution challenges, electric vehicles, as an important representative of green transportation, are gradually becoming direction for transformation upgrading automotive industry. As a pioneering figure within vehicle industry, Tesla's development history financial performance great significance understanding current situation future entire This article first outlines vehicles Tesla. Then, based on status Tesla at that time, indicators were analyzed. Finally, four suggestions proposed: firstly, companies should continue to increase investment in technology research development, improve product market competitiveness; Secondly, focus cost control operational efficiency improvement achieve economies scale; Thirdly, actively explore domestic international markets, expand sales channels share; Fourth, pay attention trends cutting-edge fields such storage autonomous driving, seize opportunities future; strengthen brand building marketing enhance influence consumer recognition.

Language: Английский

Citations

0