A pathway design framework and development strategies for transport decarbonization towards carbon neutrality

在2022财年，我们的研究重点主要是构建区域交通模型和能源系统模型，并以中国31个省份为例进行研究。交通运输模型为交通运输部门的运输需求和模式选择提供了空间灵活性和时间动态模拟，而能源系统模型则提供了一个自下而上的技术详细递归动态优化模型，并提供了详细的技术选择框架。我们收集了与区域交通和能源系统相关的数据来构建模型。一方面，收集国内生产总值、人口、交通基础设施供应、土地利用、运输成本和运输需求等社会经济因素的历史数据，估计运输模型的参数，以预测未来的客运和货运需求。另一方面，建立了一个详细的技术数据库，其中包括运输设备的信息，如使用寿命、初始成本、运行和维护成本、能源效率和排放因素，用于能源系统建模。

In the fiscal year 2022, our research focus was mainly on constructing a regional transport model and an energy system model using China's 31 provinces as a case study. The transport model was developed to offer spatially flexible and temporally dynamic simulations of transport demand and modal choices for the transport sector, while the energy system model was developed to provide a bottom-up technology detailed recursive dynamic optimization model with a detailed technology selection framework. We collected data related to regional transportation and energy system to build the models. On the one hand, historical data on socioeconomic factors such as GDP, population, transport infrastructure supply, land use, transport cost, and transport demand were collected to estimate the parameters of the transport model for projecting the future passenger and freight transport demand. On the other hand, a detailed technology database, which includes information on the transportation device such as lifetime, initial costs, operation and maintenance costs, energy efficiency, and emission factors, was built for energy system modeling.