Study On The Impact Of Multiple Public Transport Information On Passenger Travel Mode Choice Behavior

With the development of urban public transport system,many cities have formed a multimode public transport network,including subway and public transport.However,the problems of low attraction of public transport,overcrowded stations in some sections and imperfect transfer are gradually emerging.Multiple public transport information can provide passengers with information such as arrival time,expected travel time and in car congestion,guide passengers to choose reasonable travel mode,help to improve the service quality of public transport and transfer travel,improve the public transport sharing rate,and improve passengers’ satisfaction with the use of public transport information.At present,researches at home and abroad mostly focus on the impact of single information or the overall acceptance of multiple information.The data sources of passenger travel behavior are mostly questionnaire survey or simulation.However,there are few researches on the impact of multiple information on passenger travel choice and behavior data obtained from behavior experiments.This paper designs and implements a behavioral experiment on the impact of multiple bus information on passengers’ travel mode choice behavior.Based on the data of Nanjing citizen card,the typical travel patterns of public transport were extracted.The behavior experiment was divided into commuter and non commuter scenarios.The basic personal information,daily travel situation and scenario selection information were collected respectively.In the scenario selection part,the subjects were required to select the scenarios according to the gradually loaded public transport information(including waiting time,waiting time,travel time,etc.)In car time and in car congestion)and feedback travel results to make multiple choices.Through Python’s Web visualization framework dash to design the web page,and through sharing the URL to let the subjects accept the experimental investigation.Then,it analyzes the characteristics of travel mode choice behavior,analyzes the travel mode structure of commuting scenario and non commuting scenario,compares and analyzes the impact of multiple bus information on passengers’ learning behavior under different information conditions,and identifies the information elements that have an impact on travel mode choice.It is concluded that commuters in commuting scenario pay more attention to the total travel time,Non commuter passengers pay more attention to travel comfort.According to the experimental data,the model construction and impact analysis of travel mode selection under multiple public transport information are carried out.After data preprocessing,conditional logit models are established for the first and last selection results of each information condition in commuting scenario and non commuting scenario,and the parameters of the model are calibrated by Stata software,Comparing the significant influencing factors of travel mode choice behavior in commuting scenario and non commuting scenario,the key information of commuting scenario is in car time and travel cost,and the key information of non commuting scenario is in car congestion.Combined with the analysis of travel mode selection behavior characteristics and the impact of multiple public transport information on travel mode selection,this paper puts forward improvement measures for public transport information release in commuting and non commuting scenarios,mainly including adding in vehicle congestion information,improving vehicle arrival time information,highlighting information in different scenarios and route recommendation.In this paper,the behavior experiment in the form of web page is used to collect the data of travel choice behavior under multiple public transport information,and the results are gradually loaded and fed back when providing information.The research results of this paper provide a new idea for collecting the data of passenger travel mode choice,and put forward improvement measures for public transport information release in different scenarios to increase passenger travel satisfaction.