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Strava Metro data for bicycle monitoring: a literature review

机译：STRAVA METRO数据用于自行车监控：文献综述

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摘要

Monitoring bicycle trips is no longer limited to traditional sources, such as travel surveys and counts. Strava, a popular fitness tracker, continuously collects human movement trajectories, and its commercial data service, Strava Metro, has enriched bicycle research opportunities over the last five years. Accrued knowledge from colleagues who have already utilised Strava Metro data can be valuable for those seeking expanded monitoring options. To convey such knowledge, this paper synthesises a data overview, extensive literature review on how the data have been applied to deal with drivers' bicycle-related issues, and implications for future work. The review results indicate that Strava Metro data have the potential-although finite-to be used to identify various travel patterns, estimate travel demand, analyse route choice, control for exposure in crash models, and assess air pollution exposure. However, several challenges, such as the under-representativeness of the general population, bias towards and away from certain groups, and lack of demographic and trip details at the individual level, prevent researchers from depending entirely on the new data source. Cross-use with other sources and validation of reliability with official data could enhance the potentiality.
机译：监测自行车出行不再局限于传统来源，如出行调查和统计。Strava是一家受欢迎的健身追踪公司，不断收集人体运动轨迹，其商业数据服务Strava Metro在过去五年中丰富了自行车研究机会。已经使用斯特拉瓦地铁数据的同事积累的知识对于那些寻求扩大监控选项的人来说很有价值。为了传达这些知识，本文综合了一个数据概述、关于如何将数据应用于处理驾驶员自行车相关问题的广泛文献综述，以及对未来工作的影响。审查结果表明，斯特拉瓦地铁数据虽然有限，但仍有潜力用于识别各种出行模式、估计出行需求、分析路线选择、控制碰撞模型中的暴露，以及评估空气污染暴露。然而，一些挑战，如一般人群的代表性不足、对某些群体的偏见和远离，以及缺乏个人层面的人口统计和出行细节，使研究人员无法完全依赖新的数据源。与其他来源的交叉使用以及与官方数据的可靠性验证可以增强这种潜力。

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