Examining regional mobility patterns of public transit and automobile users based on the smart card and mobile Internet data: a case study of Chengdu, China

摘要

Understanding human travel patterns with relation to land uses and other land characteristics is a crucial topic in urban studies and offers guidance to better design, plan and manage diverse transportation systems and infrastructures. However, previous studies on such patterns still have some limitations. First, current studies mainly focus on mobility pattern analysis on stop and route levels. Rare studies have investigated user mobility on region levels to exhibit a macroscopic perspective on human activities. Second, the works usually examine one specific transportation mode and fail to compare regional mobility among multiple modes. This study proposes a comprehensive methodology framework to uncover regional travel patterns and regularities. Regional travel patterns are analysed using the non-negative matrix factorisation method. The travel regularity is examined using the Lempel-Ziv algorithm. A case study of Chengdu, China, is conducted to validate the proposed framework. Results can support several applications that are beneficial for urban transportation planning.