交 通 运 输 业 碳 足 迹 测 算 及 其 交 互 效 应 评 估以 京 津 冀 地 区 为 例

In response to the insufficient research on the carbon footprint of the transportation sector and the interactive effects of its influencing factors, this study first establishes a carbon footprint mea⁃ surement model for the transportation sector to quantitatively assess the carbon footprint of transporta⁃ tion in the Beijing-Tianjin-Hebei region. Subsequently, a Logarithmic Mean Divisia Index (LMDI) multiplicative form model is employed to examine the interactive effects of carbon emissions from transportation and other socio-economic indicators in the Beijing-Tianjin-Hebei region. Finally, based on socio-economic factors such as industrial structure and urbanization differences in the Beijing-Tianjin-Hebei region, an analysis is conducted on the spatial variability of influencing factors for carbon emissions in the transportation sector. The results indicate that carbon emissions from the trans⁃ portation sector in the Beijing-Tianjin-Hebei region increased annually during the study period, with Beijing exhibiting the highest growth rate at an average annual rate of 8.58%. The economic growth factor significantly contributes to the increase in carbon emissions from the transportation sector in the region. There are spatial differences in the effects of factors such as transportation sector and produc⁃ tion efficiency, while indicators like economic growth, population effects, transportation energy use intensity, and carbon emission intensity show weaker spatial differences. Measures such as promoting the decoupling of economic growth from negative environmental impacts, like carbon emissions from transportation, improving the productivity of the transportation sector, optimizing and restructuring the design of the transportation system based on demographic effects and structure, and optimizing the energy structure of the transportation sector, will help reduce carbon emissions from the transportation sector in the Beijing-Tianjin-Hebei region.