Analysis of urban travel characteristics based on floating vehicle data

Abstract

DiDi has changed the traditional taxi mode and formed a modern travel mode led by users in the era of mobile Internet. By studying the spatial and temporal distribution of DiDi vehicles, it can not only reflect the rules and patterns of work, life and travel of urban residents, but also reflect the dynamic and “heat” of urban space in different periods. Based on the GPS data of DiDi travel vehicles in Chengdu, combined with big data mining and visualization technology, this paper studies the distribution of residents’ travel, analyzes the characteristics of residents’ travel, and grasps the rules of residents’ travel.