A5051820847- Vehicle emissions and performance
- Energy, Environment, and Transportation Policies
- Urban Transport and Accessibility
- Energy, Environment, Economic Growth
- Transportation Planning and Optimization
- Environmental Sustainability in Business
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Sustainable Supply Chain Management
- Air Quality Monitoring and Forecasting
Central South University
2021-2025
Central South University of Forestry and Technology
2021-2025
Enhancing the Autonomy and Controllability of green enterprises is crucial for promoting sustainable development a green, low-carbon economy. Carbon trading policy has garnered widespread attention across China, offering novel approach to enhancing capabilities Chinese enterprises. This study aims explore impact carbon policies on By introducing mediating variable Green ambidextrous innovation, action mechanism between analyzed. In addition, internal innovation revealed, providing reference...
The promotion of carbon reduction in the private car sector is crucial for advancing sustainable transportation development and addressing global climate change. This study utilizes vehicle trajectory big data from Guangdong Province, China, employs machine learning, an LDA topic model, a gradient descent-based fuzzy cognitive map grey correlation analysis to investigate influencing factors emission pathways emissions cars. findings indicate that (1) population density exhibits strongest...
The ever-increasing number of automobiles, especially private cars, has irrevocably altered social life, revolutionized travel experience, and reshaped the face urban transportation systems. Existing research mainly focuses on trajectory data from floating while human mobility behavior by cars are still little understood. To bridge this gap, we employ a car set collected real-world environments. This article provides new perspective mobility, with focus investigating patterns capturing...
The realization of the “double carbon” goals and development green transportation require a focused approach to reducing carbon emissions from private cars. Starting perspective social network analysis, this paper constructs emission car cross-district mobility based on vehicle trajectory big data in Guangzhou Foshan analyzes its spatial characteristics. Next, MRQAP model is constructed examine impact built environment factors Furthermore, explores moderating effect central urban area....
Analyzing and investigating the impact of implementing an environmental policy mix on carbon emission from private cars social welfare holds significant reference value. Firstly, based vehicle trajectory big data, this paper employs reverse geocoding artificial neural network models to predict emissions in various provinces cities China. Secondly, by simulating different scenarios tax, trading, their mix, propensity score matching model is constructed explore effects reduction while...
Under the vision of achieving carbon neutrality by 2060, it is urgent to introduce appropriate reduction policy for city road traffic. This paper establishes a three-layer neural network model predict emission from private cars based on urban car trajectory data, simulates and analyzes cars, travel cost, personal income, government revenue under four perspectives, evaluates compares effects perspectives. Next, this perspective tax mix individual consumer utility two-commodity three-commodity...
In the construction of smart city, carbon emission reduction problem road traffic needs to be solved urgently. It is great significance introduce reasonable low-carbon policies. Based on urban private cars trajectory data, this study, respectively, establishes genetic algorithm-back propagation neural network model (GA-BP) and back propagation-adaptive boosting algorithm (BP-AdaBoost) predict emissions cars. By comparing two models, GA-BP has better prediction results. Next, study...