| Title | Characterizing spatiotemporal dynamics of carbon emissions in peri-urban residential communities: A life cycle perspective |
|---|---|
| ID_Doc | 14083 |
| Authors | Xiao, LS; Li, WY; Dong, LJ; Wu, X; Ye, H |
| Title | Characterizing spatiotemporal dynamics of carbon emissions in peri-urban residential communities: A life cycle perspective |
| Year | 2024 |
| Published | |
| Abstract | Building stock provides favorable material and welfare support to the urbanization process, but also triggers significant resource extraction and carbon emissions. Spatial explicit stock studies have focused mainly on developed areas and mature cities, with less attention paid to peri-urban areas. In terms of carbon emission, inconsistent system boundary selection and lack of building life cycle analysis limit the accuracy and comparability of results. Moreover, the absence of spatial distribution of emissions undermines support to regional carbon reduction initiatives. In this study, the Yangtze River Delta Integration Demonstration Area (YRDA), which is considered as a typical peri-urban area in China, was selected to study the spatiotemporal pattern of material flows and stocks at the residential community scale since the reform of the housing system in 1998, and to analyze spatiotemporal dynamics of carbon emissions over the life cycle of buildings. The results show that material inputs in peri-urban areas have experienced a fluctuating increase, with a gradual decline after 2016 as housing policies were tightened, and have a lower residential stock intensity than city centers. Residential carbon emissions also fluctuate while trending upwards, with operation accounting for the highest share of emissions, followed by building material production, with demolition now causing a rapid growth in emissions. Material stocks and residential carbon emissions display significant spatial heterogeneity, and a new concentration area has formed at the intersection of the three administrative districts that of YRDA. The study underscores the influence of economic growth and housing policy on the spatiotemporal pattern of building stocks, flows and carbon emissions, offering insights for cross-boundary ecosystem governance and regional circular economy development. |
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