收集20年6.3万条搭车记录，揭示非正式出行的时空规律。
Hitchhiking Rides Dataset: Two decades of crowd-sourced records on stochastic traveling
- 基于两年间6.3万条众包数据，构建全球最大搭车行为数据库。
- 发现欧洲主导、季节性波动及少数活跃用户贡献超半数数据。
- 适合交通研究者与社会学学者，探索非正规出行文化。
搭车作为一种自发且去中心化的出行方式，长期因非正式性难以系统研究。本文呈现并分析了迄今已知最大的结构化搭车数据集，包含近二十年来通过 hitchwiki.org 及 hitchmap.com 平台收集的超过63,000条记录。该数据集依托众包贡献，捕捉了搭车行为的关键时空特征与策略模式。本文追溯数据集起源与演进，强调其以欧洲为中心的分布、季节性趋势，以及高度依赖少数活跃贡献者的现状。通过探索性分析，研究考察了等待时间、用户行为及评论元数据，揭示搭车者的实际经历。尽管存在人口偏倚和未验证条目等固有局限，该数据集仍为理解替代性出行方式提供了罕见而宝贵的窗口。最后，文章提出未来丰富数据集与推动搭车研究的方向。
原文摘要 · Abstract (English)
Hitchhiking, a spontaneous and decentralized mode of travel, has long eluded systematic study due to its informal nature. This paper presents and analyzes the largest known structured dataset of hitchhiking rides, comprising over 63,000 entries collected over nearly two decades through platforms associated with hitchwiki.org and lately on hitchmap.com. By leveraging crowd-sourced contributions, the dataset captures key spatiotemporal and strategic aspects of hitchhiking. This work documents the dataset's origins, evolution, and community-driven maintenance, highlighting its Europe-centric distribution, seasonal patterns, and reliance on a small number of highly active contributors. Through exploratory analyses, I examine waiting times, user behavior, and comment metadata, shedding light on the lived realities of hitchhikers. While the dataset has inherent biases and limitations - such as demographic skew and unverifiable entries it offers a rare and valuable window into an alternative form of mobility. I conclude by outlining future directions for enriching the dataset and advancing research on hitchhiking as both a transportation practice and cultural phenomenon.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。