Cycling Analytics Data Sets

The field of cycling analytics has only recently started to develop due to limited access to open data sources. Accordingly, research and data sources are very divergent, with large differences in information used across studies. To improve this, and facilitate further research in the field, we propose the publication of a data set which links thousands of professional race results from the period 2017-2023 to detailed geographic information about the courses ridden, an essential aspect in road cycling analytics. Detailed Data Descriptor currenlty undergoing review process.<br>When using the data set, please refer to: Janssens, B., Pappalardo, L., De Bock, J., Bogaert, M., &amp; Verstockt, S. (2024). Geospatial Road Cycling Race Results Data Set. <i>arXiv preprint arXiv:2410.09055</i>.

自行车分析领域因开放数据源获取受限，直至近年才逐步发展。当前该领域的研究与数据源极为分散，不同研究间所采用的信息存在显著差异。为改善这一现状并推动该领域的后续研究，我们提出发布一套数据集，该数据集将2017-2023年间数千场职业公路自行车赛的赛事结果与赛事骑行路线的详细地理信息进行关联——而地理信息正是公路自行车分析中的核心要素。目前，详细的数据描述文档正处于审稿流程中。
使用本数据集时，请引用以下文献：Janssens, B., Pappalardo, L., De Bock, J., Bogaert, M., & Verstockt, S. (2024). 《地理空间公路自行车赛结果数据集》. arXiv预印本arXiv:2410.09055.