About SOC - Sustainable Outlook for Commercial Vehicle Platform
Project Overview
This website provides professional forward-looking data on the commercial vehicle market in China, enabling users to input key parameters such as vehicle type, confidence interval, and regional segmentation to obtain market penetration rate forecasts for five types of powertrain technologies (diesel, natural gas, battery electric, plug-in hybrid, and fuel cell). The market outlook extends as far as 2050 and is divided into five representative regions, including the China, North China, East China, South China, and Northwest China, providing a range of market fluctuations under different confidence intervals. This tool aims to provide a scientific basis for the clean transition of commercial vehicles, helping users make more rational, data-driven decisions.
The Sustainable Outlook for Commercial Vehicles (SOC) model was developed under the guidance of Professor Shiqi(Shawn) Ou from the Transportation Research & AI-driven New-Energy Sustainability Laboratory (TRANS Lab) at the School of Future Technology, South China University of Technology, with contributions from Luyang Han, Luo Chen, Yi Zhou, and others. Current academic research is underway in this area. For technical support or business inquiries, please contact Prof. Ou.
This research was funded by the development agreement between Saudi Aramco Technology Company and South China University of Technology (SCUT) (SATC 2024-006) and supported by the research facilities of the Guangdong Provincial Artificial Intelligence and Digital Economy Laboratory (Guangzhou) (Pazhou Laboratory).
Please note that the views expressed on this platform and in the related research findings represent the personal academic positions of the authors and do not reflect the official positions of South China University of Technology, the Pazhou Laboratory, or Saudi Aramco.
Core Features
Multi-Powertrain Analysis
Covers market performance analysis of five major powertrain technologies: diesel, natural gas, battery electric, plug-in hybrid, and hydrogen fuel cell.
Multi-Scenario Forecasting
Provides three different market forecasting scenarios: baseline, 50% confidence interval, and 99.3% confidence interval to meet decision-making needs with different risk preferences.
Segmented Market Coverage
Supports independent analysis of four major commercial vehicle segments: heavy-duty trucks, medium-duty trucks, light-duty trucks, and city buses.
Regional Analysis
Provides differentiated market analysis for China overall and regions including North China, East China, South China, and Northwest China.
Data Description
Platform data is derived from comprehensive analysis of multi-dimensional market research, industry reports, policy documents, and statistical data. All forecast results are for reference only. Actual market performance may vary due to factors such as policy changes, technological breakthroughs, and economic environment.
