Abstract
Urban communities are important sector for energy saving and emission reduction. Characterization of household carbon emission is critical to the planning of low-carbon communities. Taking data from five communities in Nanjing, China as the empirical research object, this study explores the relationship between household consumer activities and direct carbon emission of household energy consumption based on the Consumer Lifestyle Approach. Using regression analysis, we identify the characteristics of the emission and the four most significant impact factors. Adaptive low carbon strategies are further suggested as how to influence consumer activities by planning of urban communities.
Highlights
As a basic unit for cities to address climate change, urban community is one of the important sectors for energy saving and emission reduction
The International Energy Agency (IEA) data shows that in the OECD countries’ overall carbon emissions in 2014, direct carbon emissions accounted for 8% from the residential sector and 42% from the electricity and thermal sectors, among which the residential sector accounted for another 12%
Communities were selected to meet the requirements of Consumer Lifestyle Approach (CLA) approach for different types, sizes, building ages factors, of which the dependent variable refers to the direct carbon emission of household energy consumption; the independent variables include four characteristics: community, housing, lifestyle and family characteristics
Summary
The huge population size will make urban communities a key area for carbon reduction In this context, it is of great significance to focus on direct carbon emissions of household energy consumption, exploring the impact factors and studying measures for energy saving and emission reduction. Based on the Consumer Lifestyle Approach (CLA), this study conducted a questionnaire survey obtaining first-hand data for a quantitative analysis of the direct carbon emission of household energy consumption. It explores the impact mechanism, and further suggests adaptive planning strategies for the development of low-carbon communities
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