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Abstract
In response to the national concept of green and low carbon, the carbon emission analysis and peak prediction of transportation in 20 cities were carried out by using the carbon emission calculation model based on residents’ travel, and the quantitative effects of various improvement measures were evaluated. The results show that the urban transport structure and residents' travel distance are positively correlated with the urban carbon emission intensity, and the urban transport carbon emission in China will reach the peak around 2023. Accelerating the application of new energy, optimizing the urban transport structure, building a green transport system, and optimizing the urban transport line network all have good emission reduction effects.
Highlights
The progress and development of society has promoted the continuous growth of people's living standards
Based on residents' travel data, this study analyzes the related factors of urban passenger transport carbon emissions, which is helpful to put forward targeted energy saving and emission reduction measures
The current urban transportation carbon emission calculation methods mainly include the IPCC top-down method, the carbon emission calculation method based on residents' travel [1], the whole life cycle emission calculation and the quantitative analysis method of carbon emission influencing factors
Summary
The progress and development of society has promoted the continuous growth of people's living standards. In this context, as a very convenient means of transportation, cars are loved by the majority of people. As most of the cars still use traditional energy, it has a serious impact on the ecological environment. The sustainable development of China's society and economy can be realized by introducing and applying the low-carbon economic development mode in the construction of modern green and environmentally friendly civilized city and optimizing and improving the content of urban construction management system. Based on residents' travel data, this study analyzes the related factors of urban passenger transport carbon emissions, which is helpful to put forward targeted energy saving and emission reduction measures
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