Abstract: For the port-hinterland container transportation system with transhipment nodes of inland port and dry port simultaneously, an intermodal transportation network structure including three modes of transportation was constructed. Then, for the port-hinterland container transportation network planning problem faced with the impacts of carbon emission policy and demand uncertainty, the optimization model was established by introducing carbon tax policy and carbon emission trading mechanism respectively under stochastic transportation demand. Finally, the case of Yangtze River Economic Belt was applied to analyze the green transportation strategies under the two emission policies. The research conclusion shows that the implementation of the two carbon emission policies promoted the increase of freight flow through dry ports, and the container rail-road transportation was developed. Under some specific tax rates or carbon emission cap proportions, the carbon emission of transportation network was greatly reduced, which can provide certain decision-making reference for the application of carbon emission policy in the field of inland transportation planning. Compared with the deterministic demand situation, the stochastic demand modeling revealed higher requirements for green development decision-making of transportation network.

Key words: traffic and transportation engineering, port-hinterland container transportation network optimization, carbon tax policy, carbon emission trading mechanism, stochastic demand

摘要： 针对同时具备内陆水港中转和无水港中转的港口-腹地集装箱运输系统，构建了包含3种运输方式的多式联运网络结构；然后，对于面临碳排放政策影响和需求不确定性的港口-腹地集装箱运输网络规划问题，建立了当运输需求具有随机性时分别引入碳税政策和碳排放交易机制两种不同政策工具下的优化模型。最后，以长江经济带为实例，分析了在两种排放政策下的绿色运输策略，研究结论表明：两种碳排放政策的实施都促进了经无水港转运的货流量增加，集装箱公铁联运模式得到了发展；在一些特定的税率水平或碳排放配额比例下，运输网络碳排放能实现较大幅度减少，这可为碳排放政策在内陆运输规划领域的应用提供一定的决策参考;相较确定性需求情况，需求的随机性建模对运输网络的绿色发展决策提出了更高的要求。

关键词: 交通运输工程, 港口-腹地集装箱运输网络优化, 碳税政策, 碳排放交易机制, 随机需求