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Hitchhiking is a well-known form of transportation, which has been extensively studied from a sociological perspective. While this tourism approach has been popular in some countries for decades, the question of making hitchhiking fast has never been studied from a comprehensive point of view. In this research, we aim to find the best locations for hitchhiking, which may be used in travel recommender systems.
For this purpose, we study the relationships between certain spatial properties and waiting time at pick-up locations, estimate statistical significance of several factors according to various countries.
We extracted features for the data from hitchhiking logs, analyzed their importance and built corresponding classification and regression models for estimating hitchhiking experience with a sufficient accuracy.
This paper is the first to analyze important spatial factors for a successful hitchhiking trip and construct models to predict the quality and waiting time at hitchhiking locations.