Data underlying the master thesis: Passenger Welfare Effects of Relocating High-Speed Rail Stations from City Centres to Outskirts in the European Network

This dataset contains input data, Python code, and results that correspond to the MSc thesis by Bastiaan van der Hoeven (July 2024), which is retrievable in the TU Delft Thesis repository. This study investigates the passenger welfare effects of relocating high-speed rail (HSR) services from city centres to city outskirts in the 2050 European railway network. The dataset allows users to implement a combined route-choice transport model in the context of the 2050 railway network, as proposed by the Trans-European Transport Network (TEN-T) policy. It entails GIS-files (e.g., shapefiles) and spreadsheets that allow the user to run the transport model. The Python script facilitates rail passenger assignment across the future European network, forecasts HSR-station bottlenecks for 2050, and allows for assessing various HSR-service relocation scenarios. Additional details on the dataset can be found in the README.txt file and in the referenced thesis below.

本数据集涵盖与巴斯蒂安·范德霍文（Bastiaan van der Hoeven）2024年7月完成的硕士论文相关的输入数据、Python代码及运行结果，该论文可在代尔夫特理工大学（TU Delft）论文库中检索获取。本研究针对2050年欧洲铁路网络场景下，将高铁（High-Speed Rail, HSR）服务从城市中心迁移至城市郊区所产生的乘客福利效应展开分析。本数据集支持用户基于跨欧洲运输网络（Trans-European Transport Network, TEN-T）政策提出的框架，在2050年铁路网络情境中搭建组合式路径选择交通模型。数据集包含地理信息系统（GIS）文件（例如shapefiles）与电子表格，可供用户运行该交通模型。该Python脚本可实现未来欧洲铁路网络内的铁路乘客分配任务，预测2050年高铁车站的瓶颈状况，并支持对各类高铁服务迁移场景进行评估。关于本数据集的更多详细信息，可参阅README.txt文件以及下文引用的硕士论文。