Data underlying the publication: Service Design and Frequency Setting for the European High-Speed Rail Network

We present a customised version of the Transit Network Design and Frequency Setting Problem (TNDFSP) for the long-distance transport context and HSR in particular. This allows to asses the potential of design and policy choices for HSR network design. We apply an adapted version of a heuristic solution approach to analyse the users’, operators’ and societal performance of a European HSR-network by conducting an extensive series of experiments to test the network’s performance under various policy priorities and HSR design variables. This dataset contains the two python scripts used: the first to estimate long-distance travel demand and secondly our heuristic solution approach to solve the TNDFSP. Also, input data is included , which allows to run the scripts for new experiments

本研究针对长途运输场景，尤其是高速铁路（High-Speed Rail, HSR），定制化改进了运输网络设计与班次设定问题（Transit Network Design and Frequency Setting Problem, TNDFSP），借此可评估高速铁路网络设计中的各类设计方案与政策选择的潜力。本研究采用改进后的启发式求解方法，通过开展大量系统实验，测试不同政策优先级与高速铁路设计变量下的网络表现，以此分析欧洲高速铁路网络在用户、运营方与社会层面的综合绩效。本数据集包含本次研究所用的两段Python脚本：其一用于估算长途出行需求，其二为求解TNDFSP的启发式求解方法；同时包含输入数据，可支持运行脚本开展全新的实验研究。