The Research On The Behavior Of Large Community Residents In Combinatorial Traffic Mode Under The "Shared Economy"

With the rapid development of mobile internet,the operation mode of "internet+"promotes the development of "shared economy".A new form of shared economy has emerged among large,medium and small cities in China.In the field of transportation,"shared economy" is manifested in sharing modes of transportation,such as online car appointment,shared bicycle and shared electric vehicle.The travel choice of large-scale community residents began to change from singleness to diversification.New types of combined transportation modes,such as "shared bicycle+subway","shared bicycle+bus" and "subway+shared electric vehicle",have emerged.These new modes of travel greatly facilitate people's travel,and in line with the concept of low-carbon travel,and travel costs are not high.However,it has not yet formed a sound management and supervision system,and faces many problems.Therefore,it is necessary to study the urban traffic travel behavior in the era of "shared economy" and provide suggestions for relevant government departments,so as to provide reference for solving urban road traffic congestion.Based on the relevant research results of discrete choice theory,this paper studies the urban combined traffic travel behavior of large community residents.Firstly,according to the characteristics of various modes of transportation,the set of modes of choice is determined,and the utility function is determined by analyzing the factors influencing the choice of residents'travel combinations through the characteristics of travelers' personal characteristics,travel characteristics and modes of transportation.Secondly,the non-aggregate model theory is used to construct the large-scale community residents 'travel choice model,so as to facilitate the theoretical study of the problem.In order to further study the problem and implement the idea of "combining theory with practice",this paper takes the residents of Tiantongyuan large-scale community in Beijing as the object of empirical analysis.In the empirical analysis,firstly,the parameters of utility function are calibrated based on the trip survey data of Tiantongyuan large-scale community residents in Beijing,and the choice of different traffic modes with different travel characteristics is predicted.Next,using the method of control variables,the control group was set up.By changing the single-factor variables of personal characteristics,travel characteristics and traffic mode characteristics,the influence of different influencing factors on the choice of traffic combination mode was analyzed based on the survey data of residents in Tiantongyuan large-scale community in Beijing.Finally,the impact of individual characteristics,travel characteristics and traffic mode characteristics variables on residents' travel behavior is compared and analyzed.Statistical analysis is made on the combined travel situation of residents,providing data support and theoretical guarantee for relevant departments,institutions and enterprises of traffic management,and providing reference for their decision-making.