Multimodality Matters: Quantifying Travel Differences Across Multimodal Scenarios

The data and code scripts used for the analysis in the paper entitled "Multimodality Matters: Quantifying Travel DifferencesAcross Multimodal Scenarios" (Paper is submitted for peer review). The analysis focuses on the city of Vienna, Austria, which serves as the case study area for the routing experiments. It comprises four folders within the zip file:

data: Contains the datasets used for the analysis. These datasets are derived from real-world transport network data coming from OpenStreetMap (raw data included in the folder). This folder also includes four serialized Python object (.p file)

code: Python scripts required to perform the analysis.

results: Routing results used in the analysis and discussed in the associated paper.

analysis_results: Created automatically and contains all results used in the paper (visualizations and figures).

An additional .txt file : OSM_query.txt which contains the Python function used to download the OSM data via the Overpass API, including the exact bounding box definition (WGS84) and the API request structure.

Programming Language: Python 3.13 

For reproducibility, read the README.txt file included in the code folder of the zip archive.

All data files are licensed under CC BY 4.0, all software is licensed under the MIT License.

本数据集包含用于题为《多模态至关重要：量化多模态场景下的出行差异》（该论文已提交同行评审）的论文分析所用的数据与代码脚本。本次分析以奥地利维也纳作为路径规划实验的案例研究区域。该压缩包内含四个文件夹：

data文件夹：存储分析所用的数据集。这些数据集源自开放街道地图（OpenStreetMap）的真实交通网络数据，原始数据已包含在该文件夹中。此外，本文件夹还包含4个后缀为.p的序列化Python对象文件。

code文件夹：包含执行分析所需的Python脚本。

results文件夹：包含分析所用、并在相关论文中讨论的路径规划结果。

analysis_results文件夹：该文件夹为自动生成，包含论文中用到的全部结果（可视化内容与学术图表）。

此外，压缩包还附带一份OSM_query.txt文本文件，其中包含通过Overpass API下载开放街道地图数据的Python函数，涵盖精确的WGS84坐标系边界框定义以及API请求结构。

本次分析采用的编程语言为Python 3.13。

为确保实验结果可复现，请阅读压缩包中code文件夹内的README.txt文件。

本数据集所有数据文件采用CC BY 4.0许可证授权，所有软件采用MIT许可证授权。