Joint Design And Optimization Of Public Transit System Considering Bikesharing Fed System

As a convenient,efficient,and green travel mode,public transit service thrives in the world and alleviates the chronic congestion faced by many large cities.However,traditional fixed route transit can hardly satisfy the complex transportation demands with heterogeneous preferences.To this end,traditional fixed route transit is presented with both opportunities and challenges.To improve the operational efficiency and demand coverage,a novel transit mode,Demand Responsive Transit(DRT),was introduced then.Such mode integrates the mobility of fixed route transit into the accessibility of ride-sharing.Nevertheless,it is still easy to see the plights of operating DRT service in China practically:(1)Currently,“door-to-door” service provided by DRT faced huge obstacles due to the “compound system community” design in China;(2)with a large proportion of detour length,DRT usually suffers from high operation cost and low efficiency when passenger request is high;and(3)DRT service are sensible to the mobility restrictions and non-motorized traffic infrastructure limitations.In recent years,due to the flexibility and low carbon emissions of bikesharing system,it is of well embraced by many researchers and transit planners.However,to our knowledge,no research of injecting bikesharing fed system into multimodal transit network optimizing problems was conducted.Consequently,this study designs a joint optimization of multimodal transit system considering shared-bike fed system based on continuum approximate(CA)modelling,which can provides theoretical basis to the public transit design problems.The main research content contains two parts:(1)Joint optimization of demand responsive connector(DRC)considering bikesharing fed system.This section proposed a non-linear mixed interger modelling analyzing the impact of the introduction of bikesharing on detour length and operation cycle of DRC,and determining the passenger groups using the proposed service.To this end,a hybrid heuristic algorithm based on simulated annealing and branch & bound methods is applied to solve this problem.(2)Joint optimization of bimodal fixed route transit network considering bikesharing fed system.Firstly,this section analyzed the shared bike fed mechanism under the heterogeneity of time and space by combining features of cyclists.Then,a series of decision variables like stop spacings,line spacings,headways and dock station density are derived and optimized.I showed the two transit system performances considering bikesharing fed system: a bimodal fixed route transit system and a hybrid transit network combining fixed route transit and DRT service.The results of the study can provide theoretical basis to the multimodal transit service design considering bikesharing fed system.