Replication Data for: Operational and environmental impacts of the Transpolar Sea Route: A study using discrete event simulation

The use of the hub-and-spoke system, which is based on liner shipping principles and include two hubs for transshipment operations which are located at the beginning and at the end of the TSR and both high ice-class vessels (for Arctic navigation) and non-ice-class vessels (for navigation in ice-free waters) assuming that it will increase the transport network's efficiency and flexibility. The primaryresearch method is Discrete event simulation.

Our study explores a new possibility and opportunity for cargo transit, which carries implications for further research and policy. The main research question is whether the usage of TSR can be comparable in terms of CO2 emissions and transported cargo to the other maritime routes. We aim to simulate and evaluate the potential impact of the TSR, focusing on both its capacity to handle transport volumes and its environmental implications, specifically in terms of CO2 emissions. This dual approach not only fills a gap in existing research but also provides valuable insights into the route's utility and sustainability.

In the following directory, you can find a description of the used discrete event simulation model, Python scripts for data accessing, downloading, and plotting, files with descriptions of data analysis, and input data for analysis and model development.

本研究采用基于班轮运输原则的轴辐式运输系统，该系统设置两个转运作业枢纽，分别位于TSR的起始与末端，可同时适配用于北极航行的高冰级船舶与用于无冰水域航行的非冰级船舶，旨在提升运输网络的效率与灵活性。本研究的核心研究方法为离散事件仿真（Discrete Event Simulation）。

本研究探索了货物过境运输的全新可能性与机遇，可为后续研究与政策制定提供参考依据。本研究的核心研究问题为：TSR的使用在二氧化碳排放量与货运量层面，是否可与其他海运航线相媲美。本研究旨在通过仿真手段评估TSR的潜在影响，重点关注其应对运输规模的能力与环境效应，尤其是二氧化碳排放方面。这种双维度研究路径不仅填补了现有研究的空白，还可为该航线的实用性与可持续性提供极具价值的参考见解。

在本次提供的数据集目录中，您可获取本研究所用离散事件仿真模型的说明文档、用于数据获取、下载与绘图的Python脚本、数据分析相关说明文件，以及用于分析与模型开发的输入数据集。