Profiling users of the Vélo 'v bike sharing system
MUD'15 Proceedings of the 2nd International Conference on Mining Urban Data - Volume 1392(2015)
摘要
Detecting and characterizing geographical areas that are attractive places for specific people, in specific contexts, is an important but challenging new problem. Mobility traces and their related circumstances can be modeled thanks to an augmented graph in which nodes denote geographic locations and edges are represented by a set of transactions that describe users' demographic information (e.g. age, gender, etc.) as well as the conditions of the movement (e.g. day/night, holiday, transportation mode, etc.). We propose to extract connected subgraphs that are related to some user profiles, and use it to understand the usages of the Vélo'v bike sharing system.
更多查看译文
关键词
vélo,users,sharing
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要