Introduction to Chinas Transport

With the rapid development of China’s transportation, higher requirements are put forward for the handling capacity of traffic accidents.

With the rapid development of China’s transportation infrastructure, Chongqing has become an emerging logistics hub in inland China.

Green transformation of energy use in China’s transport sector will promote sustainable development in the country.

From the perspective of the green supply chain management, this paper integrates various authoritative standards and adopts two methods, “R clustering” and “variation coefficient analysis”, to establish a CSR performance evaluation system of China’s transportation industry.

The synergistic reduction of CO2 emissions and air pollutants is of great concerns in China’s transport sector environmental regulation.

Green transformation of energy use in China’s transport sector will promote sustainable development in the country.

This paper employs a multi-sectoral computable general equilibrium model of China, CHINAGEM, with highly disaggregated transport sectors to examine the impacts of the COVID-19 pandemic on China’s transport sectors and reveal the impact mechanisms of the pandemic shocks with the decomposition analysis approach.

A multi-objective optimization model of China’s transportation structure is constructed, and the transportation structure is then adjusted by combing the multi-objective particle swarm optimization (MOPSO) algorithm and compromise programming technique.

China’s transportation industry is entering a stage of high-quality development.

Key policy insights To decarbonize China’s transport sector an integrated approach is needed due to strong inertia and distributional effects.

China’s transportation sector suffers from energy over-consumption and CO2 over-emission, resulting in increasing pressure to improve energy and environmental efficiency.

The present study introduces a new model for estimating the potential gains of CO2 emission trading for China’s transportation sector by simulating a trading market.

As China’s transportation system expands it is producing a large amount of end-use emissions.

This paper aims to propose a novel time-delay multivariate grey model to measure the CO2 emissions’ accumulating impact of China’s transportation sector.

Under the condition that people’s requirements for transportation industry are constantly increasing, we need to make a comprehensive study on the factors such as transferring traffic volume and inducing traffic volume For this purpose, this paper analyzes the planning of transportation engineering and the use of cube to transfer traffic volume, which is of great significance to the development of China’s transportation industry.

5% of GHG emissions in China’s transport sector.

75% of GHG emissions in China’s transport sector.

Using data from 30 provinces of China’s transport sector, this paper investigates and evaluates the regional differences of carbon emission intensity (CEI).

As a new generation of high and new technology, artificial intelligence technology plays a decisive role in the development of China’s transportation.

In order to uncover the regional inequality of TFCEP in China’s transportation industry, this paper used Theil index and combined with geographical detector model (GDM) to explore the driving factors and their interactions on TFCEP in Chinese transportation industry.

The results show that (1) China’s transportation infrastructure during 2001–2017 experienced a 10.

Little attention has been paid to the environmental performance improvement of China’s transportation industry, especially in a stepwise improvement way.

Coupled with the increasingly serious hazards of pollutants emitted by transportation, an important strategic goal for the development of China’s transportation industry has been set for energy conservation and emission reduction.

Many researches in the past have contextualized in China’s total emissions peak, while the study about forecasting China’s transport CO2 emissions peak seldom appeared, especially the application of intelligent prediction model.

The conclusions are as follows: The carbon emission level of China’s transportation industry generally has been rising steadily, showing a spatial distribution pattern of high emissions in the east and low emissions in the west.

Railway transportation is an important part of China’s transportation system, and its freight price level has a direct impact on the national economy and social development.