Analysis reveals urban agglomerations in Fujian show increasing carbon emissions, indicating critical driving factors.
In the context of urbanization and regional development differences in China, transportation carbon emissions in different cities show spatiotemporal heterogeneity. Although previous studies have primarily focused on carbon emissions from road transportation, research specifically examining the southeast coastal urban agglomerations in China, particularly Fujian Province, is lacking. Thus, this study selected Fujian Province as the research object and revealed the temporal and spatial distribution characteristics of carbon emissions in the urban agglomeration of Fujian Province based on the standard deviation ellipse (SDE). Furthermore, the geographically and temporally weighted regression model (GTWR) and geographical detector were employed to examine the interaction and spatiotemporal heterogeneity of five driving factors, namely urbanization rate (UR), infrastructure rate (IR), passenger volume (PV), freight volume (FV), and per capita GDP (APGDP), on road traffic carbon emissions in cities within Fujian Province. The results show that the road transportation carbon emissions in Fujian urban agglomeration have continued to grow over the past 20 years, with an average annual growth rate of 10.355%, and the spatial distribution of carbon emissions showed a significant "northeast-southwest" trend. Secondly, the carbon emissions focus during the research period was consistently located in Quanzhou City, Fujian Province, and the direction of carbon emissions showed a counterclockwise trend, continuously shifting towards the "northeast-southwest" direction. Furthermore, the spatiotemporal heterogeneity results of single driving factors indicated that APGDP played a predominantly positive role in driving road traffic carbon emissions in urban agglomerations, while UR, IR, PV, and FV had inhibitory or promoting effects within different cities. Lastly, the interaction results of dual driving factors from geographical detectors revealed that IR∩UR, IR∩PV, IR∩FV, and IR∩APGDP had the greatest contribution to the spatiotemporal heterogeneity of road traffic carbon emissions in Fujian Province's urban agglomerations. This study provides a new perspective for understanding differences in transportation-related carbon emissions among urban agglomerations and is significant for promoting low-carbon transformation in regional transportation.
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Weng et al. (2025) studied this question.
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