The transport sector is a crucial bottleneck in the decarbonization challenge. To study the sector’s decarbonization potential in the wider systems perspective, we couple a large-scale integrated assessment model, Regionalized Model of INvestments and Development (REMIND), to a detailed transport model, Energy Demand Generator-Transport (EDGE-T). This approach allows the analysis of mobility futures in the context of long-term and global energy sector transformations, at a high level of modal and technological granularity and internal consistency. The runtime of the coupled system increases by ~ 15–20% compared with a REMIND standalone application, and first convergence tests are promising. To illustrate the capabilities of our modeling approach, we focus on a reference pathway for Europe. Preliminary results indicate that transport service demands grow in the next decades for both passenger and freight transport. Transport system emissions are expected to decrease in the same time range, due to a shift towards electric drivetrains, advanced vehicles, more efficient modes as well as a slight increase in the share of biofuels.

运输部门是脱碳挑战中的关键瓶颈。为了从更广泛的系统角度研究该行业的脱碳潜力，我们将大型综合评估模型（区域投资与发展模型（REMIND））与详细的运输模型（能源需求生成器-运输（EDGE-T））相结合。这种方法可以在长期和全球能源部门转型的背景下，以较高的模式和技术粒度以及内部一致性来分析流动性期货。与REMIND独立应用程序相比，耦合系统的运行时间增加了约15–20％，并且首次收敛测试很有希望。为了说明我们的建模方法的功能，我们重点介绍了欧洲的参考途径。初步结果表明，未来几十年客运和货运的运输服务需求都将增长。由于转向电动传动系统，先进的车辆，更高效的模式以及生物燃料份额的小幅增长，​​预计运输系统的排放将在同一时间范围内减少。