摘要：Shared bicycles affect the daily travel mode of urban residents, but also slowly change the spatial pattern of cities. Aiming at the challenges caused by the growth of shared bicycle storm to urban management, python and research were used to obtain the data of shared bicycle use in the central urban area of Mianyang City. Based on ArcGIS nuclear density analysis tool, the spatiotemporal characteristics of shared bicycle use were analyzed. The results showed that: the use of shared bicycle was greatly affected by the weather, the number of rides on weekends relative to weekdays was small and there were obvious characteristics of morning and evening peak time on weekdays; the distribution characteristics in space were consistent with the POI distribution characteristics, and different urban functions had a certain impact on the travel density of shared bicycle; finally, the study suggested that the future planning of shared bicycle facilities should use big data to construct a bicycle market supply and demand statistical system, and target the placement layout and intelligent dispatching by region, time period and frequency.
关键词：Shared Bicycle;Spatiotemporal Data;Travel Characteristics;Central Urban Area of Mianyang
