Study on the impact of Household Direct carbon Emission in Urumqi

Study on the impact of Household Direct carbon Emission in Urumqi

Background: The community is the central space of residents' daily lives and the main space of urban energy use. In implementing China's “dual carbon” strategy, exploring community energy conservation and carbon reduction strategies has become essential to urban research. As the capital city of Xinjiang, Urumqi has a critical strategic position, and reducing greenhouse gas emissions plays an essential role in the development of Xinjiang. Objective: The article relies on 270 field survey questionnaires, including five communities, to obtain data to complete the research on household energy consumption's direct carbon emission characteristics. Methods: The influence model of the community-built environment on household direct carbon emissions is constructed by using multiple linear regression equations, and the influence mechanism of the built environment on residents' direct carbon emissions is revealed. to explore the internal mechanism between the community-built environment and household direct carbon emissions. Results: The paper puts forward some suggestions for the construction of a low-carbon community in line with the regional characteristics of Urumqi. Conclusions: Household income had the most significant impact on direct carbon emissions, along with other influential factors such as household population, energy-saving habits, community volume ratio, house area, number of rooms, and residents' education level.

Background: The community is the central space of residents' daily lives and the main space of urban energy use. In implementing China's “dual carbon” strategy, exploring community energy conservation and carbon reduction strategies has become essential to urban research. As the capital city of Xinjiang, Urumqi has a critical strategic position, and reducing greenhouse gas emissions plays an essential role in the development of Xinjiang. Objective: The article relies on 270 field survey questionnaires, including five communities, to obtain data to complete the research on household energy consumption's direct carbon emission characteristics. Methods: The influence model of the community-built environment on household direct carbon emissions is constructed by using multiple linear regression equations, and the influence mechanism of the built environment on residents' direct carbon emissions is revealed. to explore the internal mechanism between the community-built environment and household direct carbon emissions. Results: The paper puts forward some suggestions for the construction of a low-carbon community in line with the regional characteristics of Urumqi. Conclusions: Household income had the most significant impact on direct carbon emissions, along with other influential factors such as household population, energy-saving habits, community volume ratio, house area, number of rooms, and residents' education level.