Analysis Of The Impact Of Parking Pricing In The City's Dual-mode Transportation Network Based On The Macro Basic Map

In the process of city travel,parking occupies a large proportion of the whole travel cost.Therefore,parking can affect travelers' choice of travel mode,choice of travel destination and choice of travel time.The development of intelligent detection technology,wireless communication technology,social media and big data processing technology has brought new opportunities for the management of urban parking problems,enabling efficient parking and green parking.At the same time,in the process of urban travel,public transport also plays an important role,which provides a good foundation for the sustainable development of the city.Based on this background,this study focuses on bi-modal multi-region traffic network,and considers two different traveling modes,which are car and transit.Meanwhile,combining the analysis and modeling of travelers' parking behavior,this study aims to investigate the effect of two main factors,travel time and travel time,on travelers' choice behavior,and especially the effect of parking pricing.On the other hand,this study aims to uncover the influencing mechanism between parking pricing and transit fare.In particular,this study conducts the traffic simulation on the bi-modal multi-region traffic network based on Macroscopic Fundamental Diagram(MFD).That is,this study discusses travelers' choice behavior between car and transit and travelers' parking behavior based on MFD.Based on this model,the traffic simulation is conducted in an aggregate perspective,and the analysis is made based on the factors that affect traveling behavior and choice mechanism.The macroscopic performance of the system is focused and analyzed during the simulation.The successful implementation of this study can provide new inspiration for the urban parking management,thereby reducing the existing cases brought by the parking problems such as traffic congestion,emissions and fuel consumption,which increases the robustness of city operation and sustainability.