Classification and Threshold Research on Multivariant Relationship Between Shared Bicycles and Public Transit
To accurately evaluate the complex spatiotemporal relationship between shared bicycles and public transit,this study identifies the multivariant relationship between shared bicycles and public transit based on the causes of substitution or complementation relationships,combined with the distribution characteristics of shared bicycle trips'origins and destinations.Furthermore,considering the differences between bus and rail transits,this study proposed a classification model for the multivariant relationship between shared bicycles and public transit based on a weekly supervised fully connected neural network and calculated the coverage of public transit,the duration of shared bicycles,and the walking distance for integrated boundary thresholds under different relationship classifications and modes of transit using shared bicycles trajectory data.The results indicate that the multivariant relationship between shared bicycles and public transit can be classified as complementation,integrated complementation,and two types of substitution modes.Specifically,the threshold values for the three parameters between shared bicycles and bus transit are 329.75 m,5.07 min,and 182.93 m,while for rail transit,the threshold values are 816.96 m,10.27 min,and 653.91 m.The main relationship between shared bicycles and bus transit is the first substitution mode,accounting for 54.98%of total trips,while the main relationship between shared bicycles and rail transit is complementation,accounting for 48.90%of total trips.The relationship between shared bicycles and bus transit is mainly characterized by multivariant substitution and complementation,while with rail transit,it is mainly characterized by multivariant complementation and the other substitution mode.The relationship between shared bicycles and buses is more mixed compared to rail transit.This study provides support for promoting the coordinated development of shared bicycles and public transit at their respective advantageous distances.
NETL
NSTL
万方数据
维普
